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Location: Kuala Lumpur, Malaysia Company Description Our client is a global organization operating within the financial services and trading industry, providing individuals with access to a wide range of financial markets, including equities, commodities, and foreign exchange. With over two decades of experience, the company has built a strong international presence, serving a diverse customer base across multiple regions. It operates through a portfolio of established brands and continues to expand its global footprint. The organization focuses on delivering user-friendly platforms, efficient services, and reliable support to help clients navigate financial markets. With offices across key international hubs, it offers a dynamic and multicultural working environment with opportunities for professional growth. About the Role Our client is seeking a data-driven and strategic Senior Manager, Customer Value to relentlessly focus on maximizing trading activity, portfolio diversification, and loyalty tier progression. In this role, you will bridge the gap between Product, CRM, and Trading functions to commercialize loyalty programs and drive sustainable revenue diversification. You will lead global campaigns that consistently deliver high-profit margins while leveraging behavioral data to unlock exponential growth. Key Responsibilities Customer Value Strategy & Ownership Own the customer value Key Results (KRs), specifically focusing on increasing trading activity, portfolio diversification, and upward loyalty tier migration. Define and deliver comprehensive customer value strategies to move users from the bottom of the funnel through to high-value tiers. Develop and implement an overarching revenue diversification strategy and workflow in alignment with regional owners and key stakeholders. Cross-Functional Leadership Lead cross-functional alignment on goals, plans, and workflows, ensuring seamless collaboration between regional managers, Trading, Proposition, Product, CRM, and Client-Facing teams. Drive adoption of crypto funding mechanisms across the global client base. Revenue Diversification Drive global revenue diversification strategies for key trading products (FX majors, indices, cryptocurrencies, etc.), partnering with Brand, Acquisition, Product, and Client-Facing teams to accelerate adoption. Increase trading revenue while reducing concentration risk through active cross-selling. Collaborate with the Data and CRM teams to build automated cross-selling journeys that improve efficiency and scalability. Planning & Commercialization Create monthly and quarterly customer value plans and roadmaps aligned with regional business objectives. Develop and implement marketing plans to maximize loyalty program commercialization through close cross-functional collaboration. Build and test value toolkits tailored to different customer segments. Campaign & Growth Leadership Lead end-to-end global campaign strategy, roadmap, and execution, coordinating across Trading, Product, Brand, Acquisition, and Client-Facing teams. Scale high-impact initiatives such as digital trading contests and instrument-specific promotional campaigns to drive both short- and long-term revenue growth. Monitor and manage promotional costs to consistently deliver profit margins of 50% or higher. Performance Reporting Leverage reporting tools such as Power BI, Bloomberg, and Amplitude to identify trading trends and uncover growth opportunities. Qualifications 7+ years of experience in Customer Value Management, preferably within brokerage or financial services. Strong expertise in behavioral analytics platforms (e.g., Amplitude), business intelligence tools (e.g., Power BI), and financial data platforms (e.g., Bloomberg). Proven ability to identify opportunities and solve business challenges using data. Deep experience managing customer value initiatives, including loyalty program strategy and operations. Demonstrated success leading global campaigns with high cost efficiency and measurable business impact. Solid understanding of financial trading instruments, including FX, metals, indices, cryptocurrencies, commodities, and current market trends. Ability to own Key Results (KRs) end-to-end, from strategic planning through execution and operational delivery. Strong communication and stakeholder management skills, with experience aligning Product, Trading, CRM, Client-Facing, and business teams toward shared objectives. Key Performance Indicators (KPIs) Growth in trading revenue, trading volume, and customer deposits. Reduction in concentration risk through increased cross-selling adoption. Customer tier progression and loyalty program uplift. Adoption rate of crypto funding solutions.

Location: Mexico City Workplace: Remote THE ROLE We're looking for a Solutions Architect to serve as the primary technical partner for our prospects and customers. You'll work hand-in-hand with Sales throughout the full lifecycle: qualifying technical requirements, designing and proving out architectures, running proofs of concept, and guiding customers from first evaluation through to production at scale. You'll be the trusted technical voice in the room, translating ClickHouse's architecture and capabilities into solutions that solve real business problems. WHAT YOU'LL DO - Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment. - Design reference architectures, data models, and ingestion/query patterns tailored to each customer's use case, scale, and existing data stack. - Own and run technical proofs of concept and benchmarks, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions. - Partner closely with Account Executives to build technical account strategy, navigate procurement/security reviews, and close complex deals. - Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual engineers to VP/C-level stakeholders. - Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases (e.g., Postgres, Elasticsearch, Snowflake, Druid, Spark). - Serve as the voice of the customer internally, feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning. - Build reusable assets, demos, and technical content (blog posts, reference architectures, sample apps) that scale your impact across the field team. - Contribute to team best practices, tooling, and onboarding materials. WHAT WE'RE LOOKING FOR - Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant, ideally at an infrastructure, database, or analytics company. - Deep hands-on experience with SQL and analytical/OLAP databases (ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift, or similar); ClickHouse experience is a strong plus. - Strong understanding of distributed systems fundamentals: partitioning, replication, consistency trade-offs, and query execution at scale. - Comfort working across the modern data stack, including streaming systems (Kafka), orchestration tools, BI tools, and cloud infrastructure (AWS, GCP, or Azure). - Ability to run and win technical evaluations against competitive alternatives, with a track record of influencing buying decisions. - Excellent communication skills, able to flex between whiteboarding with engineers and presenting business value to executives. - Self-starter who thrives with ambiguity and enjoys being both hands-on with technology and directly responsible for revenue outcomes. - Willingness to travel periodically for customer visits, conferences, and team events. NICE TO HAVE - Direct experience deploying or administering ClickHouse in production. - Experience with real-time analytics, observability, or large-scale event/log data use cases. - Contributions to open-source data infrastructure projects. - Prior experience at an early-stage or hypergrowth startup. WHY CLICKHOUSE - Work with one of the fastest-growing open-source projects and databases in the industry, at the center of the real-time analytics category. - Join a technically excellent, customer-obsessed team that ships fast and takes ownership. - Competitive compensation, equity, and benefits, with a remote-friendly, distributed culture. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Ukraine; Moldova; Latvia; Slovakia; Czech Republic; Slovenia; Romania; Kazakhstan; Poland; Hungary; Montenegro; Estonia; European Union; Cyprus; Lithuania; Greece Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We’re looking for a Lead Billing Data Analyst (Billing, Payments & Subscription Analytics) to own the data strategy behind our subscription billing operations. This is a hands-on leadership role: you’ll build analyses and pipelines that improve billing performance, while also managing and mentoring a team of analysts. KEY RESPONSIBILITIES ANALYTICS & TECHNICAL WORK - Monitor, analyze, and report on billing and support performance metrics (payments, renewals, refunds, disputes/chargebacks), and surface emerging trends. - Build and maintain data pipelines that deliver accurate, timely, and reliable billing data. - Apply statistical methods to model scenarios, run “what-if” analyses, and anticipate financial risk. - Design and run A/B tests and experiments to evaluate billing and support initiatives. - Analyze the impact of product, marketing, and pricing changes on billing outcomes, risk behavior, and customer support metrics. - Build and maintain dashboards and visual reporting that provide clear, real-time visibility into billing health and support performance. - Turn insights into recommendations that reduce disputes, churn, and operational inefficiencies. - Document analyses, workflows, definitions, and data logic to ensure clarity, reproducibility, and consistency. LEADERSHIP & COLLABORATION - Lead, mentor, and grow a team of data analysts: set expectations, coach on methodology, and ensure high-quality output. - Own the team’s intake and prioritization process; manage task flow and delivery timelines against business needs. - Uplevel the team’s billing domain knowledge and analytical/technical skills. - Partner cross-functionally with Billing, Support, Finance, Product, and Marketing to align metrics, definitions, and processes with risk-mitigation goals. QUALIFICATIONS - Deep subscription billing expertise: substantial experience with payments, renewals, refunds, disputes/chargebacks/TC40 in a recurring-revenue business (non-negotiable). - Advanced SQL: complex joins, window functions, incremental logic, and performance-aware query writing. - Data visualization: proficiency with Omni, Tableau, Power BI, or similar tools to build dashboards and communicate insights clearly. - People leadership: experience setting priorities, distributing work, reviewing output, and being accountable for a team’s results. - Statistical & analytical rigor: forecasting, experiment design, and translating ambiguous business questions into structured analysis. - Billing platforms / processors: familiarity with tools such as Stripe, Braintree, Nuvei, or similar. - Strong communication: ability to explain complex findings to both technical and non-technical stakeholders. - Cross-functional collaboration: track record of influencing decisions with data across multiple departments. NICE TO HAVE - Python and/or modern analytics tooling (dbt, Airflow, or similar). - Experience building and maintaining ETL/ELT pipelines for billing or financial data. - Risk analysis or fraud-adjacent experience in billing contexts. - Advanced visualization techniques (cohorts, funnels, anomaly detection dashboards). LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1tzxGX4Uu7Ts_HCLFXESKLnKaaBfVCPf1f9AYZPrkjJM/preview?tab=t.0 https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0 Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (90 minutes) - Final Interview (60 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The SME Portfolio Intern will support the Portfolio Management team in monitoring and analyzing the performance of SME customers. The role provides hands-on experience in portfolio management, data analysis, reporting, and business intelligence while developing practical skills in financial services and customer portfolio optimization. This role is ideal for someone who is analytical, detail-oriented, and eager to build expertise in data analytics, portfolio management, and business performance within a dynamic and technology-driven environment. What You Will Do • Assist in monitoring the performance of SME portfolios using reports and dashboards. • Support the preparation of daily, weekly, and monthly portfolio performance reports. • Analyze portfolio data to identify trends, patterns, and opportunities for improvement. • Assist in maintaining accurate portfolio records and ensuring data integrity. • Support the creation and maintenance of dashboards using Power BI or other reporting   tools. • Assist with data extraction, cleaning, validation, and reconciliation. • Conduct research and provide analytical insights to support portfolio management initiatives. • Collaborate with the Portfolio, Risk, Product, and Operations teams on data-driven projects. • Assist with ad hoc reporting and business analysis requests. • Maintain high levels of accuracy and confidentiality when handling customer and portfolio data. Requirements What You Bring Educational Qualification • Recent graduate with a Bachelor's degree in Economics, Statistics, Mathematics, Computer Science, Business Administration, Accounting, Finance, Engineering, or a related discipline. • Must have successfully completed the National Youth Service Corps (NYSC) programme. • Strong academic record. Experience • Previous internship, academic project, or coursework in data analytics, business intelligence, finance, banking, or a related field is an added advantage. • Basic knowledge of data analysis, reporting, and business intelligence concepts is beneficial. Professional Competencies • Basic knowledge of Microsoft Excel for data analysis. • Basic understanding of Power BI, SQL, MySQL, or similar reporting tools is an advantage. • Strong analytical and problem-solving skills. • Data cleaning and validation skills. • Research and reporting skills. • Excellent attention to detail and accuracy. • Good written and verbal communication skills. • Ability to work collaboratively within cross-functional teams. • Integrity and confidentiality when handling business data. This Role Is Ideal For You If: • You enjoy working with data and solving business problems. • You have a strong interest in data analytics, business intelligence, and financial services. • You are detail-oriented and committed to delivering accurate work. • You enjoy identifying trends and turning data into actionable insights. • You are eager to learn new analytical tools and technologies. • You can manage multiple tasks while meeting deadlines. • You work well independently and within a team. You May Not Enjoy This Role If: • You dislike working with numbers, data, and reports. • You struggle with attention to detail and data accuracy. • You are uncomfortable using analytical tools or learning new technologies. • You prefer highly unstructured work with minimal reporting responsibilities. • You are not interested in business analysis or financial services. Benefits What's In It For You • Hands-on exposure to SME portfolio management and financial services. • Opportunity to develop practical data analytics and business intelligence skills. • Experience working with reporting tools such as Power BI and Excel. • Mentorship from experienced portfolio management professionals. • Exposure to cross-functional collaboration across Portfolio, Risk, Product, and Operations teams.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The Senior Manager, Consumer Insights will serve as a core partner and consumer advocate for Hasbro’s Global Play and Commercial teams, focusing on the Action Brands, Fashion, and Preschool portfolios, with responsibility for brand and franchise strategies, product innovation, and go-to-market planning. This individual brings wide-ranging and well-developed skills in quantitative and qualitative primary research, secondary data review, project oversight, and a consultative approach. You will take initiative in shaping research priorities, addressing issues, proposing recommendations, and promoting the use of insights with stakeholders. We want someone enthusiastic about Hasbro’s brands and curious about what drives consumer behavior. Joining the Consumer Insights team, you will have the opportunity to represent the consumer’s perspective. You will boldly apply data and insights to support teams in enhancing business decisions that expand our brands and introduce winning products. Location and Work Arrangement This role is based at our Boston, MA, United States office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Act as the consumer advocate within the Action Brands, Fashion, and Preschool portfolios, guiding brand strategy, product development, forecasting, entertainment planning, and marketing decisions. Working with the Director, prioritize business questions and requests across audience, category, brand, entertainment, product, creative, and commercial needs. Proactively develop and deliver insights agendas aligned to strategic brand goals, development gates, commercial milestones, and go-to-market planning. Develop and coordinate many custom and standardized research programs, such as foundational consumer learning, audience segmentation, brand tracking, product and package testing, messaging and campaign testing, and purchase journey research. Present findings through research reports and offer strategic advice to brand and creation teams. Provide strategic storytelling and presentations that scale up to senior levels, distilling complex consumer findings into clear, compelling narratives that drive confident business decisions. Champion the adoption of AI-powered research and insights tools across the insights team. Actively experiment with new approaches, build proficiency in AI-assisted synthesis, analysis, and storytelling. Help the team adopt new AI-enabled ways of working. Model standards for quality and actionability in research plans and deliverables. Provide guidance and mentorship to junior team members. This role does not have direct people management responsibilities. Confidently advocate for the consumer perspective and decisions based on insights. Share a clear, evidence-based point of view with collaborators, even when it challenges conventional thinking or the current direction. What You'll Bring At least 10 years of relevant experience, or equivalent demonstrated experience, in consumer insights or market research, ideally including several years working with children's or fan products, entertainment, and/or gaming. Extensive knowledge in quantitative and qualitative insights techniques, such as segmentation, product testing, volumetrics, creative asset evaluation, and purchase journeys. Outstanding skill in crafting engaging stories using data and insights, General Manager (GM)-level presentations. Experience translating advanced analytics into insights – e.g., choice modelling, segmentation, driver analysis, price elasticity – with support from vendor partners and Analytics, Insights and Measurements (AIM) peers. Strong problem diagnosis and definition skills. Excellent prioritization and project oversight capabilities. High-level analytical and critical thinking skills. Excellent interpersonal, written, and verbal communication skills. Proficiency with Microsoft Office 365 tools and navigating Power BI dashboards. Passion for the toys & games category. BA/BS or equivalent experience required, preferably in social sciences, marketing/market research, or a related field. What Sets You Apart An MBA, other advanced degree, or additional education in consumer insights or analytics; equivalent experience will also be considered. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $134,200 — $201,300 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity We are seeking a Marketing Analytics Director to lead the evolution of our marketing data stack and raise the analytical rigor of the entire marketing organization. This is a critical role for a builder-practitioner who works at the intersection of Data Science, Marketing Strategy, GTM, and AI Operations. You won't just report on the funnel. You will build the systems that make every analyst on this team sharper, including the AI agents themselves. As the Marketing Analytics Director , you will be the lead architect of our data-driven growth engine, connecting high-level strategy with advanced technical execution. You will move beyond traditional reporting to build a self-sustaining marketing ecosystem, leveraging Google BigQuery, Grafana, and agentic AI to create a unified source of truth and a culture of analytical rigor. Your mandate is to move the needle on demand generation across the entire marketing funnel, while raising the standard for how analytical work gets produced, challenged, and shipped across the org. You will architect a dual-track target-setting framework that balances high-velocity top-of-funnel growth with deep-funnel quality, ensuring GTM resources are directed toward high-converting user cohorts optimized for Grafana adoption and long-term retention. You will be expected to engineer the underlying data schemas, design predictive models, and implement the BI frameworks that shape our global GTM strategy. We are looking for a technical expert who can translate complex data into clear executive-level direction and who proactively builds systems that prevent AI-generated noise from drowning out actual signals. What You'll Be Doing Strategic GTM Partnership: Serve as the primary strategic partner to the GTM Leadership team (VP of Demand Gen, VP of Regional and Events, Head of Marketing Ops, CMO, Revenue Operations, Sales leadership and more), translating complex data into a clear roadmap for demand generation and revenue growth. Dual-Track Target Setting: Architect and own a sophisticated forecasting framework that balances top-of-funnel volume with high-intent lead quality, optimized for Grafana Cloud conversion and retention. Predictive Modeling and ROI: Develop and maintain machine learning models (Attribution, MMM, LTV) to predict campaign impact and steer budget allocation toward the highest-ROI channels. Data Warehouse Architecture: Oversee the structure of marketing data within Google BigQuery, ensuring a scalable single source of truth that connects product usage data with marketing touchpoints. Causal Inference and Inflection Hunting: Move beyond descriptive analytics to perform causal inference and predictive trend analysis. When the data shows an anomaly, whether a 3-month spike, a regional dip, or a campaign that overperformed, isolate the window and dig in. Executive Storytelling: Transform technical data outputs into clear, compelling narratives for the executive team and board. Deliver a succinct read and go deep where pushed. Utilizing AI and Automation Agentic Insights: Deploy LLM-powered agents (Claude Code, MCP-based tooling, or comparable) to monitor BigQuery datasets and automatically flag quality shifts in the funnel before they impact revenue. Autonomous Workflows: Implement orchestration patterns (N8N, custom MCP servers, or equivalent) to build self-healing data pipelines and automated responses to market signals, such as automated spend shifts based on conversion anomalies. Predictive Quality Scoring: Build and deploy AI-driven scoring models that separate high-value potential users from low-signal volume, helping Sales and Marketing prioritize effectively. What Makes You a Great Fit 8+ years in Marketing Analytics, GTM Strategy, or Data Science, with at least 2 years in a lead architect capacity (IC track or player-coach; people management not required) within a high-growth SaaS or PLG environment. Demonstrated history as a force multiplier. You can point to specific tooling, rituals, evaluator systems, or frameworks you built that made other analysts or the broader org measurably better. A portfolio of dashboards you personally produced is not sufficient. Data Science and Engineering: Mastery of SQL and Python required. Deep experience architecting data environments in Google BigQuery, Snowflake, or similar warehouses. Hands-on AI fluency as a builder, not a user. You have built and shipped agentic systems with Claude Code, MCP, or comparable tools. You understand where LLMs fail and how to design around those limitations. You have built evaluator agents, prompt-grading systems, or analytical quality tooling in production. Automation Proficiency: Hands-on experience building complex logic and integrations using N8N, custom API orchestration, or MCP-based tooling. Visualization and BI: Advanced proficiency in modern data stack visualization tools (Grafana, Looker, Tableau) to build executive-grade dashboards. Strategic Acumen: Proven ability to create structure in highly ambiguous environments and build target-setting frameworks from scratch. MarTech Ecosystem: Deep familiarity with connectivity between Salesforce, marketing automation, and product-led data streams. Executive presence with experience presenting to executive and board audiences, including sound judgment about what data is and isn't ready to share up the chain. Bonus Points For Education: Bachelor's or Master's degree in a quantitative field (Data Science, CS, Statistics, Business Analytics). MBA or MS in Data Science is a significant plus. In the US, the OTE compensation range for this role is $ 178,503 - $ 214,203. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Dammam, Saudi Arabia To coordinate and manage environmental compliance and sustainability initiatives for gas operations, ensuring compliance with regulatory and company environmental requirements while supporting the implementation of environmental management systems and sustainability programs. Key Responsibilities Ensure compliance with environmental regulations, company standards, and environmental management system (EMS) requirements. Support environmental activities related to gas operations. Develop and implement environmental strategic plans and sustainability roadmaps. Coordinate environmental monitoring, reporting, and compliance activities. Conduct environmental awareness sessions, campaigns, and sustainability events. Support ISO 14001 Environmental Management System implementation and continual improvement. Prepare environmental performance reports and presentations. Coordinate environmental audits, inspections, and corrective actions. Maintain environmental documentation, permits, and records. Utilize Microsoft Office, Power BI, and AI tools for reporting and data analysis. Mandatory Qualifications Bachelor's Degree in Sustainability, Environmental Engineering, or Engineering . Mandatory Experience Minimum 10 years of experience in the Oil & Gas industry . Proven experience in Gas Operations . Experience in Environmental Management and Sustainability . Experience in developing strategic environmental plans and roadmaps . Experience conducting environmental awareness sessions and events . Mandatory Certifications Candidates must possess at least one of the following certifications: ISO 14001 Lead Auditor Radiation Safety Officer (RSO) NEBOSH Diploma in Environmental Management Mandatory Technical Skills Environmental Management Systems (ISO 14001) Microsoft Office Suite Microsoft Power BI AI utilization for reporting and analysis

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 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. 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 The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. 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 with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). 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: Dubai, United Arab Emirates AHS is a Dubai-based group focused on ultra-luxury real estate development, strategic investments, and high-value ventures. The business operates at the intersection of development, capital, and long-term strategic growth, with a focus on shaping high-impact opportunities across its portfolio. This role sits close to executive leadership and supports the planning, coordination, and reporting that help turn strategic priorities into action. As Planning Manager (CEO Office), you will help bring structure, visibility, and momentum to key initiatives, working across teams to support informed decision-making and business performance. Responsibilities Develop strategic planning frameworks and track CEO office priorities across business units. Coordinate cross-functional initiatives, timelines, and executive follow-ups for key projects. Prepare executive reports, dashboards, and presentations for leadership decision-making. Monitor project milestones, risks, and budget alignment for strategic initiatives. Support annual business planning, performance reviews, and ad hoc strategic analysis. Requirements Bachelor’s degree in business, finance, economics, or a related field. 5+ years of experience in strategic planning or executive office roles. Experience in CEO office or corporate strategy environments, with exposure to real estate development and investment-side planning. Strong proficiency in Excel and PowerPoint, with hands-on experience using Power BI, Tableau, ERP systems, and Monday.com. Proven experience managing cross-functional initiatives, aligning senior stakeholders, and coordinating with business unit heads. Experience working directly with the CEO or C-suite and preparing board-level materials.

Location: Lagos, Nigeria Data Analysis & Reporting Analyze card portfolio data to identify trends, patterns, and performance insights Prepare regular reports on key metrics such as transaction volumes, spend, and card usage Support ad-hoc data requests from business teams Dashboard Development & Maintenance Develop and maintain dashboards using tools such as Power BI or similar platforms Ensure data accuracy, consistency, and integrity across reporting outputs Automate recurring reports where possible Performance Monitoring Track key performance indicators including card issuance, activation, utilization, and revenue Highlight variances, anomalies, and areas requiring attention Support ongoing monitoring of business performance Customer & Transaction Analysis Analyze customer behavior and transaction patterns Provide insights to support business decisions and operational improvements Data Management Support Work with internal teams to ensure proper data capture and quality Assist in structuring and organizing datasets for analysis Requirements Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field 2–4 years’ experience in a Data Analyst role (preferably within banking, fintech, or payments) Strong proficiency in Excel and SQL Experience with data visualization tools (e.g., Power BI, Tableau) Ability to work with large datasets and perform data cleaning and validation

Location: Dammam, Saudi Arabia The Senior SAP PM Consultant is responsible for analyzing, evaluating, enhancing, and supporting business systems and processes that enable asset integrity, maintenance, inspection, and operational excellence across the organization. The role serves as a key liaison between business stakeholders and technical teams, ensuring that business requirements are translated into effective system solutions that improve operational efficiency, data integrity, and decision-making. Education Bachelor’s Degree in Information Technology, Computer Science, Information Systems, or a related field. Experience Minimum 15 years of relevant experience. Minimum 5 years of experience on Saudi Aramco projects is preferred. Experience in Oil & Gas, Petrochemical, Utilities, or Industrial sectors. Mandatory Requirements SAP Strong hands-on experience in SAP Plant Maintenance (PM), including: Equipment Master Functional Locations Maintenance Planning Inspection Planning Work Order Management Experience with custom SAP developments and integrations. Strong knowledge of ABAP, OData, CDS Views, Workflow, Smart Forms, Adobe Forms, BADIs, and BAPIs. Experience with SAP Fiori/UI5, SAP BTP, and RAP developments. Data & Analytics Advanced Power BI development and reporting experience. Strong SQL skills for data extraction, validation, and reporting. Industrial Systems Experience with PI System (OSIsoft) or similar industrial data historians. Understanding of ETL processes and integration between operational and enterprise systems. Business Systems Analysis Proven experience in requirements gathering, business process analysis, solution design, testing, and system implementation. Ability to manage system enhancements, troubleshoot issues, and coordinate end-to-end resolution. Digital & Emerging Technologies Knowledge of AI/ML applications for predictive maintenance and asset integrity. Key Responsibilities Analyze business requirements and recommend system improvements and automation solutions. Support, enhance, and optimize SAP PM and related asset management systems. Develop Power BI dashboards and business reports. Coordinate with business users, IT teams, and vendors to deliver system enhancements. Lead workshops, document requirements, and support testing and deployment activities. Ensure data quality, governance, and compliance with company standards. Preferred Certifications SAP S/4HANA Asset Management (PM) SAP BTP SAP Fiori Associate Microsoft Power BI (PL-300) PMP / PRINCE2 / Agile NACE/AMPP, API 510/570/653, or ISO 55000 Skills Stakeholder Management Project Management Problem Solving & Troubleshooting Data Governance Communication & Documentation

Location: Remote, United Kingdom, EMEA 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 German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise 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 remote position based out of United Kingdom. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations 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 Native/Professional Proficiency in German 5+ 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 Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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 €101.516,63 — €126.896 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: Remote, Ireland, EMEA 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 German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise 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 remote position based out of Ireland. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations 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 Native/Professional Proficiency in German 5+ 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 Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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 €101.516,63 — €126.896 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: Dammam, Saudi Arabia The Senior Business Systems Analyst is responsible for analyzing, evaluating, enhancing, and supporting business systems and processes that enable asset integrity, maintenance, inspection, and operational excellence across the organization. The role serves as a key liaison between business stakeholders and technical teams, ensuring that business requirements are translated into effective system solutions that improve operational efficiency, data integrity, and decision-making. Education Bachelor’s Degree in Information Technology, Computer Science, Information Systems, or a related field. Experience Minimum 15 years of relevant experience. Minimum 5 years of experience on Saudi Aramco projects is preferred. Experience in Oil & Gas, Petrochemical, Utilities, or Industrial sectors. Mandatory Requirements SAP Strong hands-on experience in SAP Plant Maintenance (PM), including: Equipment Master Functional Locations Maintenance Planning Inspection Planning Work Order Management Experience with custom SAP developments and integrations. Strong knowledge of ABAP, OData, CDS Views, Workflow, Smart Forms, Adobe Forms, BADIs, and BAPIs. Experience with SAP Fiori/UI5, SAP BTP, and RAP developments. Data & Analytics Advanced Power BI development and reporting experience. Strong SQL skills for data extraction, validation, and reporting. Industrial Systems Experience with PI System (OSIsoft) or similar industrial data historians. Understanding of ETL processes and integration between operational and enterprise systems. Business Systems Analysis Proven experience in requirements gathering, business process analysis, solution design, testing, and system implementation. Ability to manage system enhancements, troubleshoot issues, and coordinate end-to-end resolution. Digital & Emerging Technologies Knowledge of AI/ML applications for predictive maintenance and asset integrity. Key Responsibilities Analyze business requirements and recommend system improvements and automation solutions. Support, enhance, and optimize SAP PM and related asset management systems. Develop Power BI dashboards and business reports. Coordinate with business users, IT teams, and vendors to deliver system enhancements. Lead workshops, document requirements, and support testing and deployment activities. Ensure data quality, governance, and compliance with company standards. Preferred Certifications SAP S/4HANA Asset Management (PM) SAP BTP SAP Fiori Associate Microsoft Power BI (PL-300) PMP / PRINCE2 / Agile NACE/AMPP, API 510/570/653, or ISO 55000 Skills Stakeholder Management Project Management Problem Solving & Troubleshooting Data Governance Communication & Documentation

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Financial Intelligence team, part of Ramp's Applied AI org, powers the agentic analysis, FP&A, and book-close experiences that over 70,000 businesses rely on to run their finances. We turn messy financial data into a fast, trustworthy, governed data layer that AI agents can work with and build artifacts on top of. This is a frontend-leaning role for an engineer who obsesses over interaction design and data-dense UX, but is just as comfortable designing the API that feeds it. You'll own the surfaces customers actually touch: agentic financial analysis, month-end close, and exploratory data experiences that feel as polished as the best business intelligence tools. If you want your frontend work to sit at the center of real production LLM systems rather than being bolted on at the end, this is the role. WHAT YOU’LL DO - Design and ship customer-facing AI experiences end to end, from React UI through to the APIs and data contracts behind them - Build BI-tool-quality interfaces for agentic analysis, FP&A, and book-close workflows: fast, dense, interactive, and trustworthy - Own complex client-side state and rendering challenges across data-heavy, real-time, agent-driven surfaces - Partner on API and backend design so the full stack serves the product, not the other way around - Use the latest coding models and agentic workflows as a core part of how you ship every day WHAT YOU NEED - Deep frontend expertise: TypeScript, React, and sophisticated state management in complex, data-intensive applications - Fluency with the latest AI coding models and agentic development workflows. This is how the team works, and we expect you to be excellent at it - Comfort working across the stack, including API design and backend systems, even with frontend as your center of gravity - A track record of shipping polished, production-grade product experiences and owning them through ambiguity - Bonus: experience with BI tools, data visualization, or financial/analytics products BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Brief Job Description: Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment. Mission: Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster. Education: Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. Responsibilities: Define measurement frameworks and metrics with product and engineering teams. Build and maintain data pipelines, dashboards, and reports. Analyse product, behavioural, and model data to surface actionable insights. Support experiment design and A/B test analysis. Ensure data quality and consistency across sources. Qualifications & Experience: 3+ years’ experience in data analytics or a similar quantitative role. Strong SQL and proficiency in Python or R for analysis. Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar). Solid grasp of statistics and experiment design. Clear communication of findings to technical and non-technical audiences. Nice to Have (Not Obligatory): Experience with cloud data warehouses (BigQuery, Snowflake, Redshift). Familiarity with ML workflows and model evaluation metrics. Familiarity with GitLab for versioning analysis code and pipelines. Exposure to EdTech or AI products. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Reading, United Kingdom Job Description P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world. Our success is built by our people that strive for excellence and deliver great value to our customers. At the core of our success are a culture built on integrity, trust, and respect. We are looking for a Network Data Solutions Delivery Engineer to perform mobile network product delivery projects, with a focus on next-generation optimization techniques using our Network Automation Solutions. This role involves active daily works and engagement with customers and internal teams, with ownership of project deliverables. This is an in-office position based in Reading/Newbury . Responsibilities: Work closely with customer mobile network teams on network performance monitoring, analysis, and reporting. Provide onsite and remote support to the customer, and channel field feedback to the product, integration, and support teams. Build custom dashboards and automated reports covering key network and business KPIs across multiple use cases. Participate in technical meetings, monitor product performance, and track customer requirements. Prepare and issue technical guidelines and the findings of technical studies. Prepare and issue both engineering-level and executive-level reports. Required Qualifications: Understanding of telecom domain KPIs and parameters across Radio, Core, and Transmission. Previous experience at Vodafone UK or Three UK within Service Assurance or Quality Reporting functions is a plus. Strong SQL skills, including the ability to write complex queries, plus understanding of data mediation platforms. Experience administering or as a power user of umbrella performance management or service assurance products (e.g., Optima/Helix, PrOptima, PRS, Eniq) is a plus. Excellent customer-facing communication skills, both verbal and written. Experience with OEM vendor EMS/OSS systems, including managed objects, parameters, and measurements is a plus. Experience with reporting and BI tools (e.g., Power BI, Tableau, QlikView) is a plus. UK residency and the right to work in the UK.

Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We’re looking for a Senior Frontend Engineer to help us build the next generation of Flo’s platform and user experiences. You’ll work on the foundation that powers interactive surveys and dynamic content inside the Flo app — building SDKs, reusable components, and internal tooling that enable other product teams to deliver exceptional experiences quickly and reliably. Our frontend stack is based on React , TypeScript , and Next.js , with a strong focus on performance, maintainability, and testing. We care deeply about quality: we use TypeScript for type safety, Jest and Playwright for automated testing, and continuously evolve our design system and UI Kit. What you'll be doing: Design, build, and maintain high-quality user-facing components and platform SDKs that enable survey and interactive experiences in the Flo ecosystem. Collaborate with product, design, and backend engineers to deliver flexible and scalable solutions. Contribute to Flo’s design system and shared UI libraries, ensuring consistency and reusability across products. Refactor and improve existing codebases for performance, reliability, and maintainability. Write clean, modular, well-documented code and advocate for engineering best practices. Actively participate in the frontend community at Flo, sharing ideas and driving improvements in architecture and development processes. Your Experience Must have: 7+ years of experience building, shipping, and maintaining modern web applications. Expert-level knowledge of HTML, CSS, and JavaScript (ES6+). Deep experience with React and modern frontend tooling. Solid grasp of object-oriented design patterns and the ability to write efficient, well-structured algorithms You must use AI coding agents as your default way of working — writing code manually is the exception, not the rule. Proven ability to create adaptive, responsive, and accessible user interfaces. A product mindset and strong collaboration skills — you care about how your work impacts the user. Nice to have: Familiarity with Next.js, Contentful, or similar frameworks and CMS solutions. Experience with A/B testing and experimentation frameworks. Understanding of analytics and BI integrations. Salary Range - gross per month (ranges may vary based on skills and experience) €5.900 — €8.300 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .