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Location: Toronto, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary: Reporting to the Manager, Financial Planning & Analysis (FP&A) Business Partnerships, the Sr. Financial Analyst will be responsible for supporting the execution of cross-functional financial planning and financial performance reporting, with a specific focus on topline, revenue, and GTM (Go-To-Market) costs. In addition, the Sr. Financial Analyst will perform analysis to advise on strategic decisions that will impact the financial outlook for the business. The scope of the role will specialize in Topline (from Bookings to Annual Recurring Revenue), and GAAP Gross Margin (from Revenue to GTM Costs).   The role will require a high level of technical aptitude, designing and implementing advanced financial models, converting large volumes of data into tools that are tailored for executive decision making. Therefore, significant experience with Business Intelligence (BI) tools, FP&A systems, and advanced Excel functionality (e.g. Power Pivot, Power Query) is a strict requirement. The role brings analytical, data mining, data modeling and data management skills, and ability to utilize data to drive strategic business directions. Most importantly, the candidate must have a proven track record of achieving outstanding business outcomes through this type of financial modelling and business partnering. Key Responsibilities: Support execution of financial planning, including: o    Develop financial tools to enable setting Topline (e.g. New Revenue, Churn) and Cost Efficiency targets (e.g. Sales efficiency) o    Develop financial tools to enable capacity planning to validate the resource levels needed in GTM functions in the future o    Scenario planning, understanding the impact on Long-Range Plan from different outcomes and creating upside and downside financial projections o    Enable planning across different time horizons (quarterly, annual, multi-year) Evolve financial performance reporting, including: o    Design and implement reporting that delivers the necessary insights on Budget vs Actual (BvA) performance to help establish the appropriate actions to perform to Budget or growth / efficiency improvement levers o    Market, customer, and product level financial trend and insights, understanding the different financial profile of different financial profile of different offering types (e.g. Strategic Partnerships, Marketplace) Own certain relationships with GTM function leaders, acting as their key liaison on any topics related to costs (actuals and forecasting) Support execution of traditional FP&A cycles, including but not limited to Month-end Close, Annual Budgeting, and Quarterly Forecasting Perform ad-hoc analysis to advise on decisions that impact the financial outlook of the business, including but not limited to, new product launches, new Strategic Partnerships, and major capital investments Partner with systems focused teams (e.g. Corporate Data Office, Office of CIO) to automate and systemize any analytics or new models that are deemed vital to include in centralized reporting platforms (e.g. FP&A systems, 360 Insights) Identify and adopt AI use cases that will strengthen the quality and agility of planning and analyzing Work collaboratively with accounting during monthly / quarterly close cycles to ensure actuals are booked with accuracy, including maintaining accurate and up to date accruals Required Experience: 3-5 years of experience in FP&A, Strategy, or teams with similar responsibilities. Experience in technology or SaaS industry revenue is required. Experience working with GTM functions (e.g. Sales, Professional Services, Customer Success, Customer Support, Marketing) is highly desirable Significant experience in designing and implementing with BI / visualization platforms, FP&A platforms (e.g. IBM planning & Analytics, Workday Adaptive), and advanced Excel functionality (e.g. Power Query, Power Pivot) is a key requirement Experience in adapting AI use cases is highly desirable Bachelor’s degree in business / finance / accounting-related field required Experience across entire lifecycle of building new tools or financial models, including ideation, design, implementation, and sustainability Proactive self-starter and teammate, ability to learn quickly, be adaptable to change and organizational landscape Analytical problem-solving skills, ability to contextualize data effectively and efficiently. Able to understand data models, in order to follow how data flows across systems, to achieve the desired accuracy in reporting. Team player with strong interpersonal skills and sound business judgment Fit into a high-performance culture: Passion, People, and Performance. #LI-TW1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $81,000 - $99,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   Corp - C Professional - 2

Data Analyst (LTV / Predictive Analytics) StellarTech is a B2C mobile publisher in EdTech: subscription apps, in-app monetization and performance marketing at scale. LTV prediction is how we decide where to invest, and the forecasting pipeline is already live. We are opening this role to have one senior analyst own its accuracy and its evolution. This is research and predictive analytics, not reporting: everything that can be standardised is already automated by Data Engineering, so the work is hypotheses, factor analysis and improvements to the prediction algorithm itself. You report to the Head of the Operational Department and work directly with Product, UA, Finance and Data Engineering. What you will do Own and develop the LTV prediction algorithm: find the parameters and factors that increase forecast accuracy, prototype improvements in SQL, measure the gain, then hand the logic over to Data Engineering. Validate forecasts on closed cohorts, monitor forecast quality over time and explain where exactly a model deviates from actual LTV. Research what moves LTV: product features, segments, purchase sources (for example, purchases coming through CRM vs other sources), and adapt the prediction logic to them. Run analytical research end to end, from a vague question to a documented recommendation for Product, UA and Finance: where payback improves, where to concentrate media buying, what changes unit economics at company level. Automate analytical routines and model quality monitoring together with Data Engineering. Requirements Critical 4+ years in Data Analyst / Senior Data Analyst / Product Analyst roles with a product analytics focus: measuring the impact of factors on business metrics, not marketing attribution. Strong SQL: complex queries, window functions, optimisation. Here SQL is the main instrument for prototyping and testing the algorithm. Solid mathematical statistics and understanding of how ML models work: you can build and validate a forecast, judge model quality (MAE, RMSE, MAPE, R2), run factor analysis and explain where a model broke. Product background with in-app monetization and its economics: LTV, cohorts, retention, ROI, CAC, ARPU, payback. Subscriptions are ideal; other in-app B2C models also work. Ad-only monetization is a different pattern and is not a fit. A proven end-to-end pattern: you take a vague question, form a hypothesis, dig into it and bring it to a recommendation. There is no micromanagement here and almost no standard tasks. Ability to back conclusions with data and to communicate them to both technical and business stakeholders. Non-critical Python (pandas, numpy, scikit-learn) for analysis and modelling: welcome, but not a blocker if the statistical and analytical thinking is there. A/B testing and statistical hypothesis testing. BI tools (Tableau, Looker, Power BI). Cloud DWH and large data volumes (Athena, BigQuery, Snowflake, Redshift or similar). Will be a plus Feature engineering and model interpretation (SHAP, feature importance). Mobile products, gaming or subscription businesses. Our stack: Amazon Athena, S3-based DWH, CatBoost, Tableau, Git, Jupyter. Why You'll Love Working With Us Impactful Work: Your contributions will directly shape the future of our company. Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. AI solutions Wealth: We offer a competitive salary. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Hiring process Intro call with the recruiter. Technical interview: SQL, statistics and ML fundamentals, plus an analytical case on how you build a plan to investigate a problem. Final interview with the department head. Optionally, a 30-minute culture fit conversation with HRBP. If this is the kind of work you want to own, send us your CV. We will come back to you with the next step.

Location: Mexico ¡Únete a Banco Plata ! Acabamos de recibir nuestra licencia bancaria y estamos entrando en una etapa de crecimiento acelerado, innovación constante y oportunidades reales para quienes quieren construir algo grande! Descripción del empleo El Coordinador de Embajadores desempeña un rol de liderazgo clave dentro de la estructura operativa en campo. Su responsabilidad principal es gestionar, acompañar y desarrollar a un equipo de supervisores para asegurar la correcta ejecución de las operaciones diarias de entrega, el cumplimiento de KPIs y la mejora continua del desempeño en las diferentes regiones. Este rol actúa como el vínculo operativo central entre la ejecución en campo y la planeación estratégica, siendo responsable de la coordinación diaria y la resolución de incidencias. Responsabilidades del puesto: Liderar directamente a un equipo de aproximadamente 20 Supervisores de Embajadores, brindando coaching, retroalimentación y seguimiento continuo al desempeño. Asegurar el logro de indicadores clave como entregas completadas, puntualidad y satisfacción del cliente. Resolver incidencias y desafíos operativos en campo para mantener la continuidad de las operaciones diarias. Poner en marcha nuevos procedimientos y asegurar una comunicación clara de las actualizaciones operativas. Reportar casos complejos (inasistencias, bajo desempeño, errores críticos) a las áreas correspondientes (HR, Producto, Logística). Planificar y administrar la cobertura de embajadores, asignación de rutas y distribución de territorios con base en el desempeño y capacidad del equipo. Detectar supervisores con alto potencial y proponer promociones o ajustes de rol en coordinación con el liderazgo. Recoger insights y comentarios desde campo, compartiendo información relevante con los Regional Heads para la toma de decisiones estratégicas. Garantizar la aplicación consistente de las políticas internas y el uso correcto de los sistemas y herramientas (Radar, app, SOPs). Requisitos: - Experiencia previa liderando equipos operativos o de logística en campo (mínimo 1 año). - Vivir en Monterrey, N.L. - Capacidad comprobada para gestionar múltiples equipos y resolver incidencias en tiempo real. - Habilidades sólidas de comunicación y manejo de conflictos. - Dominio de herramientas de seguimiento, reporte y comunicación en campo (CRM, Google Sheets, Tableau, Superset, Power BI). - Enfoque a resultados, con alto sentido de responsabilidad y ownership. - Capacidad para tomar decisiones rápidas con información limitada. - Experiencia previa como Supervisor de Embajadores o en entornos de última milla/logística (deseable). - Alta adaptabilidad a condiciones cambiantes y entornos de crecimiento acelerado. - Inglés conversacional (B2 o más). Prestaciones y beneficios adicionales : Esquema de Bonos. Prestaciones de Ley (IMSS, Aguinaldo y Vacaciones) Seguro de Gastos Médicos Mayores. Seguro de Vida. Oportunidad de crecimiento ayudar en la definición del proceso de visitas y contribuir al diseño de la plataforma. Oportunidad para participar en la creación de una compañía innovadora y que busca convertirse en el banco digital más grande de México. Postúlate por este medio y nos contactamos contigo lo antes posible. Si cumples con el perfil y estás interesado, aplica a través de nuestra página.

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds…. ClinChoice is searching for a Senior Real World Data Programmer Consultant to join one of our clients. ClinChoice is a leading global CRO, dedicated to supporting clinical trials and real-world evidence research with a focus on exceptional quality, career development, and a supportive culture. As we expand our presence and offerings, we’re looking for an experienced Senior Real World Data Analytics Consultant to join our dynamic team and lead analytical efforts across diverse therapeutic areas for a high-profile sponsor. Position Overview: We are seeking a Senior Real World Data (RWD) Analytics Consultant/Senior Real World Data Programmer Consultant to lead and oversee complex statistical analyses, provide high-level strategic recommendations, and guide junior analysts in the execution of observational research. This leadership position combines technical expertise with client-facing responsibilities, allowing the successful candidate to influence key decisions within our client’s RWE and cross-functional teams. The Senior Consultant will be responsible for ensuring the highest standards of data analysis and driving innovations that enhance our client’s research outcomes. Key Responsibilities: Lead the development and execution of statistical analysis plans (SAPs) for large-scale real-world evidence (RWE) studies. Work directly with cross-functional teams and senior stakeholders to design data-driven solutions that meet sponsor needs. Oversee and mentor junior analysts, reviewing work for accuracy, quality, and consistency. Provide guidance on the development and optimization of RWD analytics workflows. Establish and maintain strong, trusted relationships with client counterparts. Act as a key advisor, offering strategic insights based on data findings, and helping guide decision-making processes. Lead the development of new tools and automated workflows to improve the efficiency and impact of RWD analysis. Drive the use of advanced analytics and machine learning to derive actionable insights from large, complex datasets. Lead the creation of sophisticated data visualizations, dashboards, and other reporting tools. Ensure that findings are effectively communicated to both technical and non-technical stakeholders. Drive the continuous improvement of data management, analysis methodologies, and reporting standards. Actively contribute to the development of best practices and standard operating procedures. Collaborate with internal teams (data scientists, epidemiologists, statisticians) and external stakeholders to integrate data from multiple sources and design innovative solutions. Qualifications: Experience: Minimum 4-5 years of experience in RWD analytics, biostatistics, epidemiology, or a related field, with at least 3 years in a leadership or consultancy role. Proven track record in managing complex observational research projects in the life sciences or healthcare sector, particularly with large health databases (claims data, EMR, etc.). Technical Skills: Expertise in SAS programming; advanced proficiency in SQL, R, Python, and other relevant programming languages (e.g., MATLAB, Hadoop, Spark). Experience working with cloud platforms like AWS, Azure, or Google Cloud is strongly preferred. Expertise in advanced data visualization tools such as Tableau, Power BI, or D3.js. Knowledge & Expertise: Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records (EMR). Experience applying advanced statistical methods and machine learning techniques to large healthcare datasets. Familiarity with database management, data wrangling, and data integration techniques.. Education: Advanced degree (Master’s or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our below industry average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Senior #Contract

Location: Iasi, Romania Workplace: on-site What if your analysis could help shape the way a business operates? At Veo Worldwide Services , we are looking for a Business Performance Lead to help us understand performance, identify opportunities for improvement and turn data into practical business solutions. What will you work on? • Analyze business KPIs and identify performance trends and improvement opportunities. • Develop actionable recommendations based on data and business needs. • Collaborate with managers and commercial teams to implement improvement initiatives. • Use Power BI and Excel to transform data into clear, relevant insights. • Explore digital tools and AI solutions to improve business processes. • Visit our commercial sites to better understand operations and support performance initiatives. What are we looking for? • Strong analytical skills and a good understanding of business performance. • Advanced Excel and Power BI skills. • SQL knowledge is an advantage. • Fluent English. French is a plus. • Confidence in presenting insights, challenging assumptions and collaborating with different stakeholders. • Willingness to travel to commercial sites. What can you expect? • An international working environment. • Direct interaction with business managers and commercial teams. • Exposure to different business operations and performance improvement projects. • The opportunity to contribute to digital transformation and AI initiatives. • Dedicated internal training to help you understand our commercial activities. If you enjoy connecting data, business insights and practical solutions, we would be happy to hear from you. 📩 Apply through the job posting or send me a message to learn more.

About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend. The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development. Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours. Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work. Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience. What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap. Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer. How to Apply: Fill out the application form at the provided link; no cover letter required.

Location: Remote, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum. This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors. About the team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. What you'll do Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support. Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software. Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack. Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap. Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy. Skills we're looking for Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team. Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines). Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members. Experience leading in a distributed, asynchronous team environment. Nice to have Experience leading or contributing to a popular open-source project, including managing a community of external contributors. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why join us Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London, UK Workplace: Hybrid ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. - Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. - Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. - Sharing our work and learning from industry peers through challenges, conferences and publications. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. ABOUT THE OPPORTUNITY Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction. This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped. WHAT WILL YOU BE DOING AT BEAMERY? - Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads. - Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers. - Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship. - Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence. WHAT WE’RE LOOKING FOR You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing. Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure. Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. PREVIOUS PROFESSIONAL EXPERIENCE: - Data transformations using dbt, including patterns for large, complex projects - Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation - Back-end engineering: Python (nice to have: Typescript/Node.JS) - Pipelines: streaming, CDC, correctness, replayability, and evolution over time - Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response - Infrastructure as code and containerisation (Terraform, Kubernetes) OUR DATA STACK Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. - DBT for data modelling and transformation - BigQuery data warehouse - Kafka for data streaming between systems - PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend - Kubernetes - Python - Segment for customer-centric event collection Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

Location: San Francisco; New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We’re looking for a versatile Senior Analytics Engineer focusing on Product to architect event data models that power decision-making at Harvey. With product-market fit already proven and demand surging across diverse customer segments, you’ll design clean, reliable pipelines and semantic data models that turn raw events into usable insights. As an Analytics Engineer on our team, you’ll help evolve our data stack, champion best practices in testing and documentation, and collaborate closely with product, GTM, and leadership to ensure every team can answer its own questions with confidence. If you combine engineering rigor with a love of storytelling through data we’d love to meet you. WHAT YOU'LL DO - Design and build scalable data models and pipelines using dbt to transform raw data into clean, reliable assets that power company-wide analytics and decision-making. - Define and implement a robust semantic layer (e.g. LookML/Omni/Other) that standardizes key business metrics, dimensions, and data products, ensuring self-serve capabilities for stakeholders across teams. - Partner cross-functionally with Product, GTM, Finance, and the Exec Team to deliver intuitive, consistent dashboards and analytical tools that surface business health metrics. - Establish and champion data modeling standards and best practices, guiding the organization in how to model data for accuracy, performance, usability, and long-term maintainability. - Partner with Product Managers, Engineers, and Data teams to design tracking plans for new product surfaces, ensuring events are implemented accurately, consistently, and with downstream analytics use cases in mind. - Own the product event tracking strategy, including event naming conventions, property schemas, identity resolution, sessionization, versioning, deprecation, and documentation standards. - Empower stakeholders with data by making analytical assets easily discoverable, reliable, and well-documented – turning complex datasets into actionable insights for the business. - You’ll define the structure, taxonomy, governance, and modeling patterns for product event data, ensuring that user behavior, product usage, and customer journeys are captured consistently from instrumentation through analytics-ready models. WHAT YOU HAVE - 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field. - Deep expertise in SQL, dbt, Python, Snowflake. - Experience with modern BI tools like (Looker/Omni, or similar). - Skilled at defining core business and product metrics, uncovering insights, and resolving data inconsistencies across complex systems. - Strong familiarity with version control (GitHub), CI/CD, and modern development workflows. - Bias for action – you prefer launching usable, iterative data models that deliver immediate value over waiting for perfect solutions. - Strong communicator who can build trusted partnerships across Product, GTM, Finance, and Exec stakeholders. Comfortable working through ambiguity in fast-moving, cross-functional environments. - Balances big-picture thinking with precision in execution – knowing when to sweat the details and when to move quickly. - Experience modeling high-volume, semi-structured product event data, including JSON payloads, nested properties, user/account identifiers, sessions, funnels, cohorts, and behavioral metrics. - Experience with product analytics tools (Mixpanel, Segment, Amplitude) BONUS - Early employee at a hyper-growth startup - Experience with or knowledge of AI and LLMs - Data Engineering Experience - Experience managing data warehouse (preferably Snowflake) - Experience at world-class enterprise orgs (ex: Brex, Ramp, Stripe, Palantir) COMPENSATION $155,800 - $233,600 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: We are looking for a highly versatile Data Scientist / AI Engineer who can work at the intersection of data science, AI engineering, internal product, operations, and business stakeholders. This role is ideal for someone who can analyze large-scale operational data, identify opportunities for automation and optimization, and build practical AI-powered tools that improve Contact Center and Voice of Customer operations. The ideal candidate is not only strong in analytics and machine learning, but also comfortable building lightweight applications, integrating AI APIs, creating dashboards, presenting ideas to stakeholders, and working closely with cross-functional teams to turn ambiguous business problems into scalable solutions. This person will support contact center operations by delivering actionable insights, automating manual workflows, improving operational efficiency, and contributing to reusable AI frameworks that can be scaled across teams and use cases. A key focus of this role is to leverage AI and contact center call data to identify agent performance gaps, customer pain points, process issues, and quality risks, and translate those findings into practical corrective actions and coaching recommendations for agents and supervisors. The candidate will be expected to go beyond reporting and insight generation by helping operational teams take measurable actions that improve agent behavior, call quality, customer experience, and overall contact center performance. Responsibilities: Analyze contact center, customer, operational, and Voice of Customer data to identify trends, monitor KPIs, and provide actionable insights. Build and automate dashboards, reports, and analytics workflows using Python, SQL, BigQuery, Looker, and related tools. Develop AI, automation, and optimization solutions to improve contact center performance, agent productivity, quality monitoring, and customer experience. Build internal tools and prototypes using Python, FastAPI, APIs, and front-end technologies as needed. Analyze call transcripts, QA data, CRM notes, and customer feedback to identify process gaps, coaching opportunities, and improvement areas. Partner with business and technical stakeholders to define requirements, validate solutions, and drive adoption. Prepare presentations, business cases, and executive updates for analytics, AI, and automation initiatives. Education / Experience (Requirements): Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Strong experience with Python, SQL, data analysis, automation, and dashboard/report development. Experience with BI tools such as Looker, Tableau, Power BI, or similar platforms. Knowledge of machine learning, AI APIs, LLMs, prompt engineering, or generative AI tools. Ability to build internal tools or prototypes using FastAPI, Flask, JavaScript, HTML/CSS, or similar technologies. Strong analytical, communication, and presentation skills with the ability to translate data into business recommendations. Ability to manage multiple priorities and work independently in a fast-paced environment. Preferred Qualifications: Experience with contact center, customer service, CRM, telephony, QA, chatbot/IVR, or Voice of Customer data. Familiarity with contact center KPIs such as AHT, SLA, FCR, CSAT, NPS, backlog, and agent utilization. Experience with cloud platforms, AI agents, RAG, internal copilots, workflow automation, MLOps, Git, Docker, or CI/CD. Experience with forecasting, optimization, workforce planning, or process improvement. Technical Skills Python, SQL, BigQuery, Looker, Excel, Java, FastAPI, Flask, REST APIs, HTML/CSS, JavaScript, LLMs, GPT APIs, NLP, machine learning, GCP/AWS, Git, Docker. #LI-TF1 Recruiting Range $90,000 — $100,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Обязанности: • Обработка и анализ данных в Excel (основной инструмент работы). • Очистка, нормализация и структурирование данных из различных источников. • Объединение данных из нескольких файлов в единую структуру по заданной логике. • Создание сводных таблиц и отчетов. • Автоматизация задач с использованием формул и макросов (VBA). • Загрузка и обновление данных в базе данных. • Работа с SQL-запросами (выборка, объединение, фильтрация данных). • Подготовка отчетов и дашбордов (Power BI или аналоги). • Самостоятельный разбор задач и поиск оптимальных решений. Требования: • Уверенное владение Excel (формулы, сводные таблицы, Power Query, работа с большими объемами данных). • Базовые знания SQL (SELECT, JOIN, фильтрация данных). • Навыки автоматизации (VBA или альтернативные инструменты). • Опыт работы с BI-инструментами (Power BI или аналоги). • Базовые знания Python (Pandas, обработка данных). Условия: • Работа в международной строительной компании на промышленном проекте федерального значения (Ленинградская область, п. Усть-Луга); • Трудоустройство по ТК РФ с первого рабочего дня и на весь период выполнения проекта; • "Белая" заработная плата без задержек; • Все переработки оплачиваются; • Срочный трудовой договор на период реализации проекта по 2028 г.; • Для иногородних сотрудников комфортное проживание в общежитиях гостиничного типа на территории строительного объекта, спальные и санитарные принадлежности предоставляются; • Столовая в шаговой доступности, 3-разовое питание; • Медицинская помощь; • Для местных сотрудников ежедневный трансфер в Кингисепп, Сосновый бор, п. Усть-Луга и обратно; • Трансфер на выходные в г. Кингисепп; • Ежегодный оплачиваемый отпуск; • СИЗ, спецодежда, по сезону; • Детальные условия и размер заработной платы обсуждаются по результатам собеседования.

Location: Nicosia, Cyprus; Warsaw, Poland; Braga, Portugal; Erevan, Armenia Workplace: remote Our client is an international product-based IT company specializing in the iGaming industry, with its own affiliate program and in-house products in online casino, betting, and poker. The company has been successfully operating for more than 12 years, building strong positions in the CIS market while continuing global growth and expansion. We are currently looking for an Media Buyer TG . 📋 Key responsibilities and your contribution: Build and develop the Telegram Ads traffic source from scratch; Launch, test, optimize, and scale profitable advertising campaigns; Research and validate new approaches, creatives, funnels, and traffic strategies; Analyze campaign performance and continuously improve key metrics; Work closely with product, analytics, design, and marketing teams; Manage advertising budgets efficiently while maintaining profitability; Build a knowledge base of successful approaches and continuously optimize workflows; Monitor Telegram Ads updates, market trends, and competitor activities; Play a key role in growing the new direction with the opportunity to become a Team Lead as the team expands. 📚 Your qualifications: 3+ years of experience in media buying, including at least 1 year of hands-on experience with Telegram Ads; Proven experience in Gambling/iGaming traffic acquisition; Strong understanding of the Telegram Ads ecosystem, traffic sources, and campaign optimization; Experience launching, testing, and scaling campaigns from scratch; Ability to analyze key performance metrics (ROI, CPA, CR, CTR, CPM, PnL) and make data-driven decisions; Experience working with analytics and tracking tools (Keitaro, Binom, Voluum, Google Sheets, Power BI, etc.); Experience managing monthly advertising budgets starting from $50K; Understanding of affiliate offers, agency accounts, and Telegram Ads infrastructure; Strong analytical mindset and willingness to experiment with new approaches; Ability to work independently, take ownership, and build processes from the ground up. ➕ Nice to have: Experience working with CIS GEOs; Experience building Telegram funnels using bots, mini apps, or custom landing flows; Existing contacts with Telegram Ads agencies or account providers; Experience working with both product and affiliate traffic; Knowledge of automation tools, scripts, or AI solutions for campaign optimization; Experience mentoring teammates or leading traffic initiatives. Benefits: ⭐ Time Off & Recovery: 20 working days of fully paid annual leave, fully paid sick leave, and public holidays off according to company policy. ⭐ Health & Wellness: A flexible Benefits cafeteria that allows you to choose the perks that fit you best, with options including medical support, regular check-ups, mental health services, or gym access. ⭐ Education & Development: Internal and external training, industry events, language courses, and professional service subscriptions. ⭐ Workspace & Tech: All necessary corporate equipment provided, the flexibility to work fully remotely, and premium digital tools to enhance performance (e.g., AI tools, ChatGPT Plus). ⭐ Work Environment & Perks: Holiday bonuses, gifts for special occasions, paid business trips, and team events.

Location: New York, NY Our Story At think-cell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do The Regional Marketing Manager will drive think-cell's North America marketing efforts, shaping and executing our regional strategy.  As a critical link between the global Marketing org, GTM team, and other stakeholders, you’ll ensure seamless brand alignment. This is an exciting opportunity to bring creativity, strategic thinking, and collaboration skills to a role that directly impacts our growth and success. You will be part of the Regional Marketing function within think-cell’s Marketing team and work closely with cross-functional teams in a tech-driven, startup-style environment backed by an established product and funding. Key Responsibilities Own regional campaigns across North America with priority on the US market, driving business growth, brand awareness and user engagement. Extract insights from product, sales and marketing teams to develop and steer our marketing strategy in the US. Partner with local agencies, publications, thought leaders and influencers to promote think-cell to relevant audiences. Together with other GTM teams, plan and execute an event strategy across both physical and virtual events, driving strong ROI, awareness and engagement uplift. Support sales led growth through collaboration with go-to-market teams, enabling them with high-quality collateral materials through all stages of the customer journey. Work closely with the internal design and content teams to deliver the highest quality creative assets. Establish strong communication channels between regional sales teams and core marketing team, as well as the rest of the organization. You will be great for this position if you have 5-7+ years of experience in B2B marketing, preferably for a software / SaaS business. Experience in developing end-to-end marketing campaigns in the US market: from strategy and planning to launch and performance analysis. Proven track record in effectively running one or more of the following channels: event marketing, influencers, partnerships, brand and PR. Ability to effectively work with design and content counterparts to build effective creative assets. A proactive, problem-solving approach with strong project management and communication skills. Strong analytical skills, hands-on experience with campaign analysis and reporting, knowledge of Matomo and Power BI. Experience working with Salesforce and SFMC. Experience running influencer marketing and partnerships is a plus. Experience working with think-cell, Microsoft PowerPoint and Excel is a plus. Experience working with finance and consulting services is a plus. Bachelor's or Master's degree in Marketing, Business Administration, or a related field required. Willingness to work in office, 3 x hybrid schedule (once NYC office opens) Willing to travel 15% Our Values At think-cell, our values are at the heart of everything we do. They guide how we work, collaborate, and create value for our customers. As part of our team, you will embody and help shape the following principles that define us: Forward Thinking: We are adaptable innovators – we embrace change, value progress, and challenge the status quo to find the best solutions. Ownership: We take pride in our work – we own our mistakes, learn from them, and go the extra mile to deliver exceptional results. Customer First: We are committed to our customers – we understand, prioritize, and deliver lasting value through meaningful solutions. Unified Team: We cultivate collaboration and value every voice – we prioritize integrity and respect, ensuring everyone feels heard, supported, and aligned in our shared mission. Strive for Excellence: We are driven by excellence – we set ambitious goals, pursue quality relentlessly, and foster growth through exceptional talent. We believe in a human hiring process, every application is personally reviewed. Join Our Journey We encourage you to apply even if you don’t meet every requirement. At think-cell, we celebrate diversity because it drives creativity and excellence. We welcome individuals from all backgrounds who are passionate about making a real impact. Joining us means more than just a job – it’s an opportunity to be part of an inclusive, innovative, and supportive team that values collaboration and growth. Together, we can push boundaries and achieve great things. Compensation: think-cell believes the value of pay transparency contributes towards an honest and supportive culture. For this role, we anticipate paying in the range of 115 -135k OTE, for the NYC market. The actual amount to be offered to the successful candidate will be dependent upon the key aspects of each case, which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any think-cell variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. think-cell provides comprehensive benefits package including medical, dental, vision, disability leave, parental leave, pto and 401k contribution (all benefits are subject to eligibility requirements). At think-cell, we value diversity. think-cell is proud to be an equal opportunity employer and does not discriminate based on race, color, religion, national origin, age, disability, sex, gender identity or expression, sexual orientation, marital status, military or veteran status, or any other characteristic protected by law.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 Finance at seQura runs on data: recurring calculations, regulatory processes, provisioning, reporting cycles, and profitability tracking. As a Senior Financial Product Data Analyst, you'll own the link between how Finance actually works, the KPIs it tracks, and the decisions those KPIs drive, turning that understanding into reliable, self-service data products. This isn't a "receive a ticket, write a query" role. You'll work closely with Finance and Finance Tech teams to understand why a number matters before you model it, then build trusted data products that Finance teams can use independently. Your work will directly improve how Finance operates, helping establish a single source of truth for revenue, enabling self-service reporting, and ensuring the business can make confident decisions based on reliable data. What challenges you'll be solving 🚀 Learn seQura's Finance domain deeply enough to understand which KPIs matter, why they matter, and the business decisions they support—from pricing and provisioning to servicer settlement and product profitability. Design and build production-grade data products, not just queries: dbt models on Redshift, fully documented and tested to Single Source of Truth standards, together with the Metabase dashboards and self-service datasets that sit on top of them. Partner directly with Finance stakeholders to translate complex financial and regulatory processes into robust, reliable, and auditable data models. Validate and reconcile critical Finance outputs, including servicer reports, provisioning runs, and amortisation tables, ensuring they are accurate and audit-ready. Chase data quality issues back to their source, working closely with Data Engineering to solve problems upstream instead of applying downstream workarounds. Help close the existing revenue gap between operational systems and the data warehouse while improving Finance models for defaults and amortisation. Present findings, recommendations, and new data products directly to Finance leadership, connecting the data back to the business decisions it's meant to support. Contribute to broader Data & AI governance initiatives, including metadata, documentation, and data catalog work wherever it impacts Finance. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power business decisions, reporting, and AI across all domains. What we own The dbt transformation layer across business domains. The Single Source of Truth (SSOT) for key business metrics. Semantic models that enable consistent reporting and analytics. Data contracts and governance standards across domains. Data lineage, documentation, and discoverability. Data quality, testing, and monitoring to ensure trusted data products. Team Structure You'll join a team of four Analytics Engineers, working alongside a Data Governance Lead and reporting to the Head of Data. You'll collaborate closely with FP&A, Accounting, Treasury, Finance Tech, Data Engineering, and the wider Data & AI team to ensure Finance data is accurate, governed, and easy to consume. How we work We treat data as a product, with clear ownership, quality standards, and consumers. We build self-service data products rather than one-off reports. We understand the business context before building data models—we care as much about why a metric exists as how it's calculated. We work closely with domain experts to turn business knowledge into reusable, trusted data assets. We continuously improve data quality through governance, documentation, testing, and collaboration. What to expect in the next 90 days 🏁 Month 1 Learn seQura's core Finance processes and KPIs, including pricing, provisioning, servicer settlement, and product profitability. Meet stakeholders across Finance and Finance Tech, and become familiar with the existing dbt models and Metabase dashboards supporting Finance. Month 2 Take ownership of your first data quality or reconciliation initiative end-to-end, tracing issues back to their source alongside Data Engineering while contributing to an active dbt model. Month 3 Deliver your first self-service Finance data product—a documented dbt model together with a Metabase dashboard—that Finance stakeholders can use independently, and present your work and recommendations to Finance leadership. Tech stack & environment 🛠️ Our Finance Analytics stack is built around SQL, dbt, Redshift, and Metabase, enabling trusted, production-grade data products across Finance. The team uses dbt for transformation and testing, Redshift as the analytical warehouse, and Metabase to deliver self-service reporting. OpenMetadata supports governance and discoverability, while Python and Airflow are used where automation or orchestration adds value. What you’ll need 🤝 Must have: 5+ years of experience as a Data Analyst or Analytics Engineer. Strong hands-on SQL skills. Practical experience with dbt, including data modeling, testing, and documentation. Experience building dashboards and self-service data products using Metabase (or an equivalent BI platform). Demonstrated ability to understand Finance processes, not just execute against a specification, and translate that understanding into robust data logic. Strong business mindset, with the ability to connect KPIs to the decisions they support. Fluent English. Nice to have: Experience in fintech, lending, or BNPL environments. Knowledge of provisioning, amortisation, EIR, or IFRS 9. Python for analysis or lightweight automation. Experience with data governance or catalog tools such as OpenMetadata. Experience with orchestration tools such as Airflow. Experience presenting data products directly to Finance or executive stakeholders. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: London, England, United Kingdom From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented Senior Sales Engineer to join our Commercial sales team. As a Commercial Sales Engineer, you will work closely with our sales team to understand our Commercial customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time position based out of our Dublin office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks,  Kubernetes, Docker, Podman, Grafana, Linux, Windows, Python, Java What You’ll Do Work with Commercial customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Commercial audiences Ensure the technical win by running an organised proof-of-value process Work closely with multiple cross-functional organisations, driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For 4+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT #LI-DC1 #LI-HYBRID The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Pay Range €77.028 — €96.285 EUR Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights. This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science. What You'll Be Doing: Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Contribute to the development and adoption of best practices for experiment design, statistical analysis and causal measurement. Partner closely with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Collaborate with engineering teams by providing feedback on experimentation and measurement capabilities to improve tooling and workflows. Develop reusable analytical solutions, dashboards and code that improve the quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge, collaborating across teams and promoting analytical best practices. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous business problems. A collaborative mindset with a passion for continuous learning and improving analytical capabilities. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Experience developing reusable analytical frameworks, libraries or internal tooling. Experience presenting analytical findings and recommendations to cross-functional stakeholders. What You'll Influence: Measurement for PlayStation's product and commercial initiatives. High-quality experimentation and causal inference across product and business teams. Product and commercial decisions through rigorous analytical evidence. The continued evolution of PlayStation's measurement and experimentation capabilities. Why You'll Love This Role: Help shape how PlayStation measures product and commercial success across a global business. Work on challenging real-world problems using experimentation, causal inference and machine learning. Collaborate with talented scientists, engineers and product teams on high-impact initiatives. Learn from experienced data scientists while developing your expertise in modern measurement and experimentation. Contribute to the adoption of evidence-based decision-making across PlayStation. Continue growing your technical and business skills in a collaborative, supportive environment. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Задачи: • Собирать, анализировать и интерпретировать бизнес-данные • Создавать отчёты и дашборды для поддержки принятия решений • Выявлять тренды и предоставлять практические рекомендации • Обеспечивать точность данных и поддерживать качество отчётности Требования: • Опыт работы с SQL, Excel, Power BI или Tableau • Сильные навыки визуализации данных и аналитики • Знание Python или R является плюсом • Отличные навыки решения проблем, внимание к деталям и коммуникабельность • Способность работать самостоятельно в удалённом режиме Условия: • Полная занятость • Удалённая работа (весь мир) Требование к отклику: предоставить обновлённое резюме и видео или аудио представление через Loom. Крайний срок подачи заявок: 16 августа 2026 года.

Location: Dhahran, Saudi Arabia Eram Talent is seeking a highly analytical and detail-oriented Program Controller on behalf of our esteemed client in Dhahran. In this role, you will play a critical part in supporting enterprise-level strategic programs by driving financial oversight, program governance, performance tracking, and executive reporting. The ideal candidate possesses strong financial acumen, expertise in dashboard design, and the ability to synthesize complex project data into actionable insights for senior leadership. Key Responsibilities Cost & Benefits Validation: Support cost estimation, calculate estimated program benefits, and validate financial outcomes against business cases. Program Governance & Management: Apply strong program governance frameworks to support the planning, coordination, and execution of strategic enterprise transformation initiatives. Dashboard Development: Design, build, and maintain comprehensive performance dashboards tracking financial metrics, schedules, risks, and benefit realization. Executive Reporting: Synthesize complex program data into clear, concise, and visually compelling communication materials to facilitate executive decision-making. Variance Analysis: Conduct detailed variance analysis (cost vs. budget, schedule vs. plan) and propose proactive corrective action plans. Risk & Issue Tracking: Track program risks and issues within established governance frameworks, ensuring effective mitigation strategies are implemented. Analytical & Quantitative: Strong ability to interpret complex financial data, perform quantitative modeling, and deliver clear strategic insights. Problem-Solving: Proven ability to identify, analyze, and resolve cost overruns or budget deviations effectively. Communication & Collaboration: Excellent written and verbal communication skills with a strong track record of collaborating across Project Management and Finance teams. Technical & Data Tools: * Advanced proficiency in Microsoft Excel (Pivot tables, complex formulas, financial modeling). Hands-on proficiency in Power BI , Tableau , or similar dashboarding tools. Familiarity with project management platforms (e.g., MS Project, Jira, Confluence, Smartsheet ). Attention to Detail: High accuracy and precision in data analysis and financial reporting. Requirements Education: Bachelor’s degree from an accredited institution in one of the following fields: Finance Accounting Economics Business Administration Information Systems Industrial Engineering (with a focus on Finance) Academic Threshold: Minimum GPA of 3.0 / 4.0 (or 4.0 / 5.0 equivalent). Hands-on experience with Earned Value Management (EVM) principles. Familiarity with tracking Capital Expenditure (CapEx) and Operational Expenditure (OpEx) . Knowledge of Enterprise Resource Planning (ERP) systems for integrated financial tracking. Preferred Certifications Certified Cost Professional ( CCP ) or Certified Cost Technician ( CCT ) Certified Financial Planner ( CFP ) or Certified Management Accountant ( CMA ) Project Management Professional ( PMP ) Microsoft Certified: Data Analyst Associate ( Power BI ) Microsoft Office Specialist ( MOS ) – Advanced Excel