Senior Data Analytics Engineer Jobs

Fanatics Commerce is the global leader in licensed sports merchandise, operating a vertically integrated platform that designs, manufactures, and delivers officially licensed apparel, jerseys, headwear, and collectibles for major leagues, teams, and events worldwide. With more than 900 e-commerce sites and a global omnichannel presence across digital, in-venue, and retail, Fanatics Commerce reaches fans in over 180 countries and powers official fan experiences for many of the world's most iconic sports properties. At Fanatics, we bring our BOLD Leadership Principles to life every day - building championship teams, obsessing over fans, acting with entrepreneurial speed, and delivering with a determined and relentless mindset. As we continue to scale our global platform, the Senior Marketing Analyst, Lifecycle Marketing will play a critical role in distilling customer data into actionable intent signals that drive lifecycle strategy and personalization across Fanatics Commerce. ROLE OVERVIEW We are seeking a data-savvy and entrepreneurial Senior Marketing Analyst to join our Lifecycle Marketing team, where you will distill data into customer intent, motivations, and friction points to inform lifecycle strategy, personalization, experimentation, and cross-channel messaging. A self-starter, you will lead cross-functional collaboration with Lifecycle Marketing Strategy, Analytics, and Engineering teams to further develop our approach to a holistic customer view and experience. The Senior Marketing Analyst, Lifecycle Marketing delivers business and fan impact through BOLD leadership and execution excellence, leveraging data, automation, and AI-enabled insights. HOW WILL YOU DRIVE IMPACT Success is measured by the ability to deliver results through BOLD capabilities and measurable outcomes. Team & Leadership Impact (Build Championship Teams) Partner closely with Lifecycle Marketing Strategy, Analytics, and Engineering teams to align on a shared, holistic view of

Atlas Growth is a cloud engineering group whose mission is to guide customers through their app development journey—from cluster configuration, data modeling and load testing, to running a production workload at scale. We use an in-house experiments platform which helps us validate our features quickly, releasing only the work that positively impacts our customers. Our engineers participate in cross-functional “squads” with product, design, analytics, and research focusing on a single metric (e.g. retention). Our engineering team is part of a larger Atlas Core Engineering org, building foundational elements of MongoDB’s developer data platform. Atlas Growth 2 builds customer-facing features in Atlas and sits alongside other Growth engineering teams. Recent projects include an AI Chatbot for cluster creation, a recommendation system that offers tips for better database performance, and a pricing page designed to optimize conversion rates. We are looking to speak to candidates who are based in Dublin for our hybrid working model. Role Overview Atlas Growth seeks a mid-level software engineer (Software Engineer 3). SE3s are solid contributors to projects they work on and often lead projects of their own. They act in accordance with MongoDB’s core values and leadership principles, and are actively working toward a Senior role. Candidate Profile 3+ years of software engineering experience, with fluency in TypeScript/JavaScript, and experience with a modern framework (e.g. React) Proficiency in Java, Go, C++/C, or a similar compiled language is a plus Experience writing database queries, either document-based or relational Experience writing and reviewing technical specs, and leading small projects Interest in A/B testing or product design Expectations Contribute readable and well-tested code to ongoing projects Collaborate closely with product and design partners to implement and iterate on new customer facing features Write scope and technical spec docs for new projects

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role The Product Manager will lead critical areas within self-service cloud growth, empowering self-service customers and trial users to be successful. This role specifically focuses on human user onboarding and agents onboarding, directly influencing the successful growth of Elastic Cloud. What You Will Be Doing Define the vision and roadmap for self service cloud growth, encompassing: onboarding and trial experience, product features adoption and trial activation, customer interviews and churn analysis, product engagement analytics and email nurturing. Partnering with engineering leads to prioritizing technical investments and establishing realistic delivery timelines. Collaborate with downstream Elastic solution teams (Observability, Security, Enterprise Search) to understand their specific onboarding flows and trial experience. Drive technical decision-making regarding onboarding, activation, expansion and retention of self-service customers. Interface with customers and trial users to gather feedback on trial experience. Collaborate with Sales & Marketing on competitive positioning and brand awareness. Drive native integrations with 3rd party developers platforms. What You Bring 4+ years of Product Management experience with deep technical products. Strong background and experience with Product Led Growth. Demonstrated

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly. The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering. In this role, you will: Own the weekly company metrics update and forum: shape the story the numbers tell, evolve the structure and content as fast as the business changes Define the metrics that matter: help establish the headline KPIs leadership uses to track the business, and the driver views beneath them. Surface macro trends: explain what is driving growth across products, customers, and channels, and flag leading indicators early Lead deep dives on executive questions: take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer Track performance against plan: explain where actuals differ from forecast and why it matters Partner across teams: work with finance leadership, product and GTM

RDQ226R533 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. We are the “AI/BI” team responsible for making Databricks the best product for business users to create, find and consume data insights. We work on 4 key pillars Dashboards, Genie, Databricks One and Unity Catalog Business semantics. UC Business semantics allow users to define business metrics and agent metadata in centrally governed systems for trusted access. Databricks One offers users a simplified experience tailored for non technical users to find and consume data insights. Genie lets users talk to their data with state of the art text-to-SQL and Dashboards lets users run their day to day business. We're seeking a dedicated Engineering Leader who will help grow the Data visualization and UC Business Semantics teams.These teams will be tackling a number of challenging fullstack problem spaces, including: making visualizations easy to consume, enabling dashboards to be highly interactive, creating compelling augmented analytics experiences, providing best in class low/no code authoring, and increasing the analytical expressivity of our business semantics products. You will report directly to the Senior Manager of Engineering. The main responsibilities include: You will lead a talented engineering team of full stack engineers and SMEs focused on one of the above initiatives. You will oversee sustained recruitment of top-tie

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Quality and Governance Product Manager Senior Specialist, Product Management Data Quality & Governance Product Manager, Small Business Credit Analytics (SBCA) ________________________________________ Overview Small Business Credit Analytics (SBCA) helps financial institutions make better lending and risk decisions through trusted, data-driven insights. We are seeking a Senior Specialist, Product Management to serve as the Data Quality & Governance Product Manager for the SBCA portfolio. This role will be accountable for establishing data quality standards, governance frameworks, and operational controls that ensure SBCA data is accurate, complete, timely, reliable, and trusted by customers. The ideal candidate combines strong product management skills with deep data expertise and will partner across Product, Engineering, Data Science, Data Engineering, Operations, and Customer Success teams to drive continuous improvements in data quality and governance. ________________________________________ Role Own the SBCA Data Quality Strategy and Roadmap • Define and execute the SBCA Data Quality and Governance roadmap. • Establish data quality standards, KPIs, scorecards, and operational objectives. • Drive improvements in data accuracy, completeness, consistency, freshness, coverage, an

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture. Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software. Corporate Systems Product Management focuses on the internal platforms that power how Smartsheet operates - including Finance, People, Sales operations, integrations, and internal automation. Product Managers in this team steward system roadmaps, business workflows, and long-term platform evolution across these domains. As Senior Product Manager I – People Systems , you will own the People systems ecosystem, including Workday, Docebo, People analytics platforms, and the integrations that support the employee lifecycle. You will partner closely with People & Culture leadership, HR operations, Engineering, and Security teams to ensure People systems evolve to support workforce growth, operational efficiency, and accurate workforce insights. You will report to the Director of Corporate Systems and collaborate closely with Engineering and business stakeholders across the company. You Will: Own the product vision, roadmap, and prioritization for the People systems pillar

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . As a Senior Analyst on the Risk Analytics team within the Consumer & Business group, you'll own the identification and mitigation of account takeover (ATO) and scam risk across the Coinbase ecosystem. You'll build critical defenses that protect our users and platform integrity, using data to drive risk decisions that impact millions of customers. This is a high-impact role where you'll define risk metrics, shape prevention strategies, and partner cross-functionally with Product, Engineering, and Data Science to stay ahead of evolving threats. What you'll do: Own end-to-end risk controls for ATO and scam prevention, scaling processes to maintain coverage as the business expands into new products and regions. Define risk success metrics, build reporting frameworks, and drive continuous improvement by identifying and prioritizing control enhancements. Leverage data to assess risk and make decisions impacting large customer segments, measuring and quantifying associated tradeoffs through rigorous analysis. Partner with Product, Engineering, and Data Science to develop custom risk management strategies and techniques across the Coinbase product suite. Synthesize data findings into clear narratives and recommendations that influence senior risk and product leadership decisions. Investigate and mitigate fraudulent and scam activities by reviewing alerts on anomalo

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a Financial Analyst supporting the Innovation, Technology, and Products (ITP) organization at Micron Technology, Inc., you will support financial planning, reporting, and cost allocation activities for the engineering organization. Through strong analytical skills and attention to detail, you will help ensure accurate financial reporting and provide analysis that supports informed business decisions. A significant portion of this role will focus on executing and maintaining the Engineering Cost Model (ECM), which allocates Micron's engineering expenses across the technologies and programs that engineering supports. The model is a key input to investment analysis and resource planning, helping leaders understand where engineering resources are being invested and how investments are evolving over time. This role offers an excellent opportunity to develop expertise in financial modeling, business analytics, cost allocations, and automation while gaining exposure to Micron's engineering organization, technology roadmap, and innovation investments. Key Responsibilities Engineering Cost Modeling & Investment Analytics Own the monthly and quarterly execution of the ECM, which allocates engineering investments across Micron's product, technology, and development portfolios Perform data collection, validation, reconciliation, and analysis to ensure model accuracy and completeness Produce allocation outputs and supporting analyses used to evaluate investment trends, res