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* Proven Lead-level experience in B2C product analytics (video streaming, OTT, high-traffic web platforms). * AI Enthusiast & Modern BI Mindset: Strong belief that traditional BI tools (Tableau, Power BI, Amplitude) can be effectively replaced by LLM-assisted querying layers, custom AI agents, and semantic workflows.

Location: Sliema, Malta Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity As a Senior Business Analytics Manager, you'll use data to strengthen Compliance across three priorities: Trusted Data, Growth Enablement, and Proactive Risk Prevention. You'll help ensure that regulatory reports, audit responses, and legal evidence are reliable, traceable, and reusable, while transforming customer, transaction, and financial data into actionable insights. You'll partner with Compliance, Product, Engineering, Data Science, and Business teams to build trusted data foundations, automate recurring requests, and create metrics that reveal operational effectiveness and compliance friction. You'll also conduct root cause and control-gap analysis, help remove compliance-related business roadblocks, support market and licensing initiatives, and surface risks before they are identified externally. What You'll Be Doing: Facilitate and govern internal and external data requests across OKX global entities, ensuring timely, first-time-right delivery for regulatory reporting, audits and exams, and legal evidence. Build and maintain request records, evidence and definition libraries, and data-governance records to improve data reliability, traceability, and reusability. Productize high-frequency recurring requests into automated or self-service data pipelines, improving turnaround time and cost efficiency. Build and automate Compliance dashboards based on North Star metrics as well as input and guardrail metrics to provide transparency into operational effectiveness, customer and platform risk, and business friction. Conduct deep-dive, root-cause, and control-bypass analyses to proactively identify and prevent compliance risks. Partner with Compliance, Business, Marketing, and local market teams to remove compliance-related roadblocks in current operations and support new markets, licences, applications, and market-access assessments. Collaborate across Product, Engineering, Data Science, and Finance to continuously improve data pipelines and analytics products. What We Look For In You: Relevant working experience of at least 7 years. (must) Proficiency in database management systems like MySQL, SQL Server, Oracle, or PostgreSQL. (must) Ability to work independently and collaboratively in a fast-paced environment. (must) Strong problem-solving skills and attention to detail. (must) Hands-on experience with machine learning algorithms and AI tools. (nice to have) Strong compliance domain knowledge, including KYC, AML, the Travel Rule, insider trading controls, and regulatory requirements across jurisdictions. (nice to have) Experience supporting regulatory reporting, regulatory examinations, and internal or external audits. (nice to have) Preferred industries are Fintech, Digital Payment, Tech companies. (nice to have) Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependents Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

• Коммерческий опыт развития AdTech продуктов в направлении CTV (от 3х лет). • Понимание принципов построения качественных интерфейсов и UX.

Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and revenue analysts. Build and maintain critical reporting data models that power external merchant reporting.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Brussels, Belgium We currently have a vacancy for a Database Analytics Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site. Tasks: Design and develop scalable, reliable data transformation pipelines and workflows; Optimise the performance and execution times of dbt projects; Design, implement, and document data quality checks and control tests using dbt capabilities; Establish automated regression testing and validation procedures to ensure pipeline output quality and consistency; Promote and share best practices for maintaining, managing, and evolving dbt projects across the team; Analyse business requirements and translate business analysis documentation into robust, operational data transformation pipelines. Requirements University degree in Computer Science, Information Technology, Systems Engineering. or relevant discipline, combined with minimum 12 years of relevant working experience in IT; Hands-on experience with dbt, preferably dbt Core, for designing, maintaining, testing, documenting, and extending production-grade analytics transformation projects; Experience in analytics engineering and modern data modelling, including layered architectures, reusable macros, data quality controls, and CI/CD practices; Experience developing PySpark transformation scripts for large-scale data processing, while Spark job optimisation would be an asset; Hands-on experience with Apache Iceberg, including partition and schema evolution, snapshot management, and time travel; Experience with job orchestration and scheduling tools, such as Dagster, for managing dbt and Spark workloads; Strong knowledge of SAS-based ETL and legacy codebases; experience migrating SAS workflows to dbt is a strong asset; Excellent SQL skills, including complex transformations, performance optimisation, and incremental processing; Good understanding of Apache Spark execution, partitioning strategies, file layout optimisation, and performance tuning; Strong knowledge of data validation, reconciliation, and testing to ensure functional equivalence when migrating legacy systems to dbt and PySpark; Knowledge of version control and collaborative development practices, including Git, code reviews, release management, and automated deployment pipelines; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (159096/10/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Проектировать сложные эксперименты и тесты A B для проверки гипотез и измерения влияния на бизнес. Определять метрики успеха и применять статистические методы для обеспечения надежных результатов.

Location: Remote - US About the Job: LaunchDarkly is seeking a People Systems, Analytics and AI Manager to be our subject matter expert on HR systems and to turn People data into insights that help business leaders make better decisions. You will build the reports, analytics, and dashboards that tell the story of our workforce, and you will use AI tooling to make those stories faster to create, easier to understand, and more compelling. This is an individual contributor role reporting to the Director, People Programs, Systems and Analytics. You will work closely with People Operations, Finance, and leaders across the business, and you will own your work from question to insight to action. We are looking for someone who combines deep HR systems knowledge with strong analytical skills, creativity in how data is presented, and sound judgment about people data and AI. Responsibilities: Serve as the subject matter expert for our HR systems (HRIS, applicant tracking, performance, compensation, and learning platforms), including configuration, data integrity, security roles, integrations, and release management. Design, build, and maintain reports, dashboards, and analytics on headcount, hiring, retention, engagement, compensation, and workforce planning that leaders use to make decisions. Partner with People, Finance, and business leaders to translate questions into clear metrics, definitions, and analyses, and to recommend actions based on what the data shows. Use AI tools to accelerate analysis and create compelling data stories and visualizations, including automated insights, natural-language summaries, and executive-ready narratives. Establish and govern People data standards: metric definitions, data quality checks, documentation, and a single source of truth across systems. Protect employee data by applying privacy, confidentiality, and access controls, and by partnering with Legal and Security on responsible use of AI with People data. Own the intake, prioritization, and delivery of system and reporting requests, balancing quick turnarounds with scalable, self-service solutions. Automate recurring reports and manual workflows to reduce effort and errors, and identify new opportunities where systems and AI can improve the employee and manager experience. Support system projects such as new module rollouts, integrations, data migrations, and annual cycles (performance, compensation, and engagement), including testing, training, and documentation. Enable People Operations teammates and managers through training, office hours, and clear guides so they can use data and tools with confidence. Stay current on HR technology, analytics, and AI trends, and bring practical recommendations to the Director, People Programs, Systems and Analytics. Qualifications: 8+ years of related experience in HR systems, People analytics, or HR operations, with hands-on ownership of reporting and dashboards in a technology or high-growth environment. Expert-level knowledge of at least one major HRIS (for example, Workday, Rippling, or similar), including report writing, calculated fields, and security configuration. Strong proficiency with analytics and visualization tools (for example, SQL, Tableau, Looker, Power BI, or similar) and advanced spreadsheet skills. Demonstrated fluency with AI tooling to analyze data, generate insights, and build visualizations and narratives, with sound judgment about accuracy and appropriate use. Ability to translate business questions into metrics and communicate findings clearly to non-technical leaders. Strong understanding of data integrity, privacy, and confidentiality practices for employee data. Proven ability to manage multiple projects and stakeholders independently and deliver on time with attention to detail. Curious, pragmatic problem solver who enjoys simplifying complex processes and data. Comfortable working with a highly distributed team across time zones. Nice to Have: Experience with data pipelines, data warehouses, or scripting (for example, Python or dbt). Experience with integrations and workflow automation tools. Knowledge of workforce planning, compensation, or engagement analytics. Bachelor's degree in Information Systems, Analytics, Business, Human Resources, or a related field, or equivalent experience. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $ 121,800 - $167,530 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $ 109,700 - $150,810 ** Zone 3: All other US locations - $ 103,600 - $142,450 * * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the Role Our ideal hire has a builder mindset, is detail oriented, action oriented and proactive. They own their role and continuously help identify ways to improve operations processes and controls. It is essential that this person manages time well, keeps on top of deliverables, and has the potential to grow with us. Experience in credit products, prepaid cards or other spend operations functions is a strong plus.   We manage billions of dollars, so the stakes are high. We want to deliver extraordinary experiences that meet our client's on-demand expectations, while being a compliance leader. At Wealthsimple, we are maker-owners, we believe that simplicity is better, and we do what's right for each client.   We are seeking an analytical, detail-oriented professional with strong SQL skills, advanced Excel expertise, and a passion for process improvement to join our Treasury team. The ideal candidate will excel in problem-solving, dashboard creation, and effective communication across all levels of the organization.   In this role, you’ll have the opportunity to: - Develop comprehensive financial analytics and reports to support regulatory compliance and strategic decision-making. - Leverage Internal Systems and Kyriba Treasury Management System to extract, analyze, and report on treasury data, ensuring accuracy and timeliness of deliverables. - Collaborate with cross-functional teams (including Product, Engineering, Data Science, and Finance) and use in house AI tools to optimize workflows and drive project success. - Design, build, and refine intuitive, data-driven dashboards that provide actionable insights for various stakeholders. - Maintain or develop multiple reporting deliverables with varying frequencies, managing stakeholder expectations and ensuring consistent quality standards. - Support the team on complex projects within Treasury Cash and Collateral Management, facilitating communication and problem-solving across teams. - Conduct in-depth analysis using SQL and other tools to inform critical business decisions related to Treasury operations and strategy. - Identify and implement process improvements that enhance efficiency and accuracy in financial reporting and analysis. - Translate business requirements into technical reporting solutions, working closely with IT and data teams to optimize report performance.   What You'll Bring: - Relevant experience: Demonstrated success in Treasury and financial operations, banking and payments, or other operations roles in related fields. - Report Management: Proven experience overseeing end-to-end report lifecycle management, from requirements gathering to delivery. Ability to manage multiple reporting deliverables with varying frequencies and stakeholder groups, ensuring accuracy and timeliness. - Treasury Systems Expertise: 2+ years of hands-on experience with Kyriba Treasury Management System, including report configuration, data extraction, and workflow optimization. - Organization & planning: Plans, organizes, and schedules in a productive manner, allowing for a focus on key priorities and regular updates - Collaboration: Excellent interpersonal skills and willingness to work in collaboration with various team members - Strong written and verbal communication: Speaks plainly and truthfully. Communicates complex ideas in a simple & easy-to-understand way for any audience (e.g. engineering, 3rd party vendors, growth/operational teams, executive team) - Problem solving: If something seems off, you want to figure out what's going on; you enjoy navigating uncertainty, bringing clarity to ambiguity and don't wait for a playbook to be written - Proactive & Action Oriented: Acts without being told what to do; taking full ownership of work, and proactively seeks help and input when needed to provide well supported solutions - Efficiency: Ability to produce significant output with minimum wasted effort; finds the path of least resistance to the problem definition, solution and execution - Honesty/integrity: Doesn't cut corners; does what is right, not what is politically expedient - Data & analytics: Has a strong proficiency in SQL, and a history of using data to answer complex problems. Ability to translate business requirements into technical reporting solutions. - Stakeholder Management: Experience with complex reporting processes and stakeholder requirements, with proven ability to deliver financial reports to senior leadership and various business units. - Financial modeling, coding/automation, ability to contribute to a data model, and experience with business intelligence tools (Power BI, Superset) is preferred   Required Qualifications - Bachelor's degree in Finance, Economics, or related field - 3+ years of experience in financial analysis or similar role - 2+ years of hands-on experience with Kyriba Treasury Management System - Advanced proficiency in SQL and Excel - Strong analytical and problem-solving skills - Excellent verbal and written communication abilities - Ability to manage multiple projects and priorities effectively WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: United Kingdom; Spain; Hungary; Bulgaria; Germany; Poland; Italy; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for a Data Scientist - Product Analytics to join our Growth Data team. You'll own the analysis behind how people discover, adopt and stick with ElevenLabs' products, partnering closely with Product, Growth and the central Data team's certified metrics layer. - Define and own product health metrics: activation, feature adoption, retention and engagement across ElevenCreative, ElevenAgents and ElevenAPI. - Design, analyse and communicate the results of product experiments (A/B tests, feature launches, onboarding changes). - Partner with Analytics Engineering on the certified product KPI layer in dbt, and with Product on turning ambiguous questions into trusted analysis. - Work alongside fellow Growth data scientists on marketing- and revenue-adjacent questions that touch the product funnel. Requirements Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company. - Strong SQL and Python, with hands-on experience in experimentation (A/B testing) and product analytics. - Ability to translate ambiguous product questions into clear, reusable analysis and defensible metrics. - Comfort working directly with Product and Growth stakeholders, and pushing back on ill-defined asks. - Structured thinker who can move fast without sacrificing rigour. Bonus - Experience with activation / retention modelling or lifecycle analytics at a consumer or prosumer product. - Experience with dbt or a modern warehouse, partnering directly with analytics engineers. - Experience using AI tools or agents to speed up analysis or enable self-serve data access. Growth potential We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Grow into a Senior or Staff Product Data Scientist role as the Growth Data team scales. - Expand scope across additional product lines (ElevenAgents, ElevenAPI). - Path into a Growth Data Science lead or broader data leadership track. LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

🌸Assist the Data Analytics team in delivering cutting-edge analytics, structured reporting, and modern AI/automation solutions for global business stakeholders; 🌸Perform comprehensive data quality checks, troubleshoot data anomalies across ERP and reporting systems, and coordinate with senior team members for escalations;

Senior Product Analyst (Web Analytics) / Ведущий продуктовый аналитик - развитие внутренней платформы веб-аналитики. Крупная международная iGaming-компания ищет Senior Product Analyst для развития внутренней платформы веб-аналитики и поддержки продуктовых и бизнес-команд.

Location: Paris, Remote Workplace: remote The Data team builds and evolves the data platform that powers critical product features and helps every team make smarter, faster decisions. Our data ecosystem supports hundreds of pipelines, dashboards, and tools, providing the foundation for both day-to-day operations and strategic decision-making. What makes our team unique is our central role across the company: we sit at the intersection of Product, Operations, Customer Success, Sales, and Engineering. As our first Analytics Engineer, you’ll bridge the gap between our data platform and business teams by building trusted datasets, meaningful KPIs, and self-service analytics capabilities. You’ll work closely with our Senior Data Analyst and Data Engineers to improve data models and documentation, strengthen the reliability and efficiency of our warehouse, and help teams become increasingly autonomous with Snowflake, Looker/Metabase, and AI-powered analytics. You’ll then contribute to our broader mission of making data more accessible and actionable across 360Learning. Within 1 month, you will: Discover 360Learning, its platform, teams, and culture Get familiar with our data stack (Snowflake, Looker, dbt, etc.) and our ways of working Understand our data models, ways of working, and self-service analytics strategy Within 3 months, you will: Build reliable, well-documented datasets and KPIs that help teams answer their own business questions Enable teams to access and leverage data through Snowflake MCP, empowering them to answer business questions more independently Collaborate with our Senior Data Analyst to improve documentation, data models, and best practices to strengthen self-service adoption Within 6 months, you will: Partner with Data Engineering to improve warehouse performance, reliability, and cost efficiency Help teams become more autonomous on Snowflake and BI tools by guiding them toward the right datasets and sources of truth Become a go-to partner for teams looking to monitor key metrics, explore data, and make data-driven decisions The Skill Set: Strong SQL skills with the ability to write complex queries and work confidently with data. Hands-on experience with BI and analytics tools, such as Looker, Metabase, or Omni. Experience with modern data warehouses, such as BigQuery, Redshift, or Snowflake. Good working knowledge of Git and version control best practices. Experience with dbt is a strong advantage. Strong interest in AI and emerging analytics tools, with a focus on their practical application to business and data-related challenges. Solid understanding of data modeling and data warehousing principles, with an interest in building reliable, scalable, and efficient data solutions. Curiosity and problem-solving mindset: able to break down ambiguous questions into clear, actionable steps Comfortable collaborating with non-technical stakeholders, understanding their needs, and communicating technical concepts in a simple way. Fluent English (US/UK) / French fluent Enthusiasm for our working environment explained here: https://bit.ly/Convexity_360L What We Offer: Compensation: Package includes base salary, a variable component and equity 📈 Benefits/Perks : Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent. Balance: Flexible hours, full remote work possible anywhere in France 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process: Phone Screen with our Talent Acquisition Manager Discovery Meeting with our Senior Data Manager Case study Meeting with our Senior Data Manager and our Senior Data Analyst Clarification Meeting with our 1 Data Engineer and our Senior Data Analyst Culture Fit Meeting with our VP Engineering Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

When a non-routine business event doesn't fit with how we currently track or report on the business, define the solution. Whether a system change, a new process or policy, or a different data model, serve as the Directly Responsible Individual (DRI) for working with the necessary x-functional teams to get it delivered.

Опыт: 4–6+ лет. Опыт в продуктовой аналитике в подписных продуктах, особенно в воронках, онбординге, платном доступе и конверсии.

Location: Remote - US About the Job: LaunchDarkly is looking for a Director, People Programs, Systems & Analytics to establish operational objectives, roadmaps, work plans, and operating rhythms for People programs, systems, analytics, and AI, translating the People Operations strategy and LaunchDarkly’s priorities into executable plans. Your team will develop technical and AI-assisted capabilities while  turning workforce data into analytics and insights that allow the business to make informed decisions. This role reports to the Senior Director, People Operations. In this role you will lead a small team and establish the framework for responsible AI use regarding People data. You will partner with Legal, Security, and IT, and recommend solutions that improve reporting, employee support, and efficiency. Responsibilities: Design the vision, strategy, roadmap, governance, and operating rhythms for all People programs, systems, analytics and AI, in alignment with LaunchDarkly’s business and People priorities. Manage the orchestration and successful completion of organization wide deliverables including OKRs, annual deliverables, and key projects, acting as a visible leader and facilitator within the People organization. Lead, coach, and develop a small, high-performing team, creating clarity, strong partnerships, and a culture of thoughtful execution and continuous improvement. In partnership with the Director, People Operations, ensure that programs and operating processes across the employee lifecycle, including onboarding, offboarding, employee data, documentation, compliance-related workflows, employee support, and international operations can be optimally managed through our HR tech stack with measurable, decision-informing analytics Design and evolve the People technology ecosystem, ensuring systems are integrated, scalable, secure, fit for purpose, and aligned to the employee and business experience. Establish standards for People data quality, definitions, governance, access, documentation, and stewardship, and build trusted reporting and self-service insights for People partners and business teams. Design an analytics strategy that translates workforce data into executive-ready narratives and practical recommendations across headcount, attrition, hiring, organizational health, employee experience, and workforce planning. Define a responsible AI strategy for the People function, including use-case prioritization, governance, human oversight, and adoption of solutions that improve reporting, decision-making, employee support, and operational efficiency. Partner with the Senior Director, People Operations, functional partners, and subject-matter experts to translate capability gaps into scalable learning experiences, then measure participation, effectiveness, behavior change, business impact, and equity of access. Lead change management for new systems, programs, policies, and processes, including communications, training, stakeholder readiness, adoption, and post-launch improvement. Manage vendors, dependencies, and tradeoffs, bringing structure to ambiguity and maintaining a clear view of value, risk, and long-term scalability. Qualifications: 15+ years of experience in People Operations, including 5 years leadership across People Programs, People Systems, People Analytics, or a similarly complex function. Experience should include the selection and optimization of HRIS and Talent systems at small and medium- to large-sized companies. A track record of organization-wide project and program management, designing operating models, building roadmaps, and delivering cross-functional programs at scale. Implementation and development of comprehensive data analytics, reporting, and dashboarding tools for Human Resources and Talent organizations with knowledge and experience in AI-enablement for those functions. Experience managing and developing a team and building strong cross-functional partnerships. Experience designing, managing, or improving integrations across HR systems and connected People tools to support reliable data flows and scalable operations. Strong understanding of how People systems, processes, data, and employee programs fit together. Experience improving HR technology, data quality, reporting, analytics, automation, or self-service decision support. Practical experience evaluating or advancing AI use cases, with sound judgment around sensitive employee data, privacy, governance, accuracy, and human oversight. Excellent written communication, prioritization, program management, and change leadership skills. About You: You are a strategic, systems-oriented People leader who connects technology, data, programs, and human experience. You can set organization-wide direction at the program level while engaging deeply enough to understand implementation details and remove barriers. You are ambitious about innovation, pragmatic about execution, and thoughtful about risk and employee trust. You are curious about People analytics and AI and disciplined about where they should and should not be applied. You are collaborative, grounded, proactive, and committed to building scalable, equitable experiences for employees and managers. What Success Looks Like: The People team has a clear, prioritized roadmap across programs, systems, analytics and AI. The People team has stronger governance, clearer processes, more reliable data, and fewer manual or fragmented workflows. People partners and business teams have trusted, actionable insights for workforce planning and People decisions, with responsible AI use cases improving efficiency and decision support. The team is engaged, growing, and recognized as a strategic partner that delivers meaningful outcomes across the company. Pay: Target pay ranges based on Geographic Zones* for Level M4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - 263,670 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270 ** Zone 3: All other US locations - $ 163,000 - $224,070 ** All Zones inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Own Channel Insights metrics, dimensions, and refresh SLAs with the CDP product owner and Data Expert. 5+ years of analytics engineering or BI lead experience.

Location: Remote Workplace: Remote About Eneba At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. ABOUT YOUR TEAM Our Customer Support operation is scaling and becoming more automated. As our first dedicated Customer Support Data Analytics Engineer, you’ll sit in Operations and work hand in hand with the Customer Support team, the Head of Operations, Product, Engineering, Payments and Risk. You’ll explain why customers contact us, measure what self-service and automation actually resolve, and help the team decide what to fix first based on evidence. You’ll work with Databricks (SQL), Kustomer, QuickSight, Mixpanel, Jira and Slack, on top of an internal data layer with Claude integrated. Current focus: AI and automation in support, and building and optimising our support metric stack. RESPONSIBILITIES - Reusable data models: Build and maintain dbt models on Databricks across bronze, silver and gold layers, with tests, column documentation and incremental logic, so the next person can build on them. - Data mapping and feasibility: Know what data we have, what is missing and how it connects. Join sources that were never designed to be joined, audit contact tagging so reporting stays reliable, and judge early whether a requested metric is buildable. If it isn’t, say exactly which data is missing and what it would take to get it. - Metric design: Turn vague requests from the Customer Support team into exact metric definitions, such as repeat contact, automated deflection rate and cost per contact, and prove each one against raw data before it ships. - Dashboards and reporting: Build dashboards end to end in QuickSight and Omni (datasets, calculated fields, filters). Deliver weekly support performance packs with actionable insights and thresholds for ops managers and leadership. - Daily operations pulse: Monitor volumes, backlog, SLAs and CSAT to flag spikes early. Investigate “this number looks wrong” cases by tracing a visual back through the model to the source table. - Contact-driver and feedback analysis: Identify why customers contact us by product, spot growing issues, and analyse QA and customer feedback to surface coaching themes and process gaps. - Automation and self-service: Measure how well AI, bots and help content resolve issues, including repeat contacts and CSAT. - Root-cause partnership: Partner with Product, Payments and Risk to quantify the impact of issues and track fixes. - Planning input: Help forecast contact volume and capacity needs. REQUIREMENTS - 3+ years of experience as a Data Analytics Engineer in Customer Support, contact-centre or CX environments. - Strong SQL, dbt and hands-on experience with BI and reporting tools (we use QuickSight; Power BI, Looker or similar is fine). - Solid knowledge of customer support metrics and contact-driver analysis: CSAT, FCR, handling time, repeat contact, deflection. - Ability to turn insights into operational changes with non-technical stakeholders. - Curiosity about why customers get in touch and what would stop the issue from happening again. You care more about changing outcomes than producing dashboards. - Good written and spoken English (proficiency preferred). NICE TO HAVE - Python or text analytics on ticket data. - Experience with a support CRM’s data - Forecasting experience. - Experience evaluating chatbots or AI agents. - Background in digital goods or gaming. What it’s like to work at Eneba   *Opportunity to join our Employee Stock Options program. *Opportunity to help scale a unique product. *Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. *Paid volunteering opportunities. *Work location of your choice: office, remote, opportunity to work and travel. *Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.   *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice #LI-DNP