Lead Data Analytics Engineer Jobs

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team As an AI analytics company, Amplitude partners with AI native startups to help them move faster from insight to product market fit and from product market fit to scale. Startups are a critical driver of our ecosystem and growth strategy. Our mission is to create new pathways for founders to discover Amplitude and adopt it early in their growth journey. We are looking for a strategic, ecosystem-driven leader to run and evolve Amplitude’s Global Startup and Venture Program. This person will shape how we engage founders, partner with VCs and incubators, and position Amplitude as the platform of choice for AI native startups worldwide. You will become an indispensable resource for founders navigating product market fit and growth, and a trusted partner across the AI startup ecosystem. As a Global Startup and Venture Program Lead,

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Lead, Senior Decision Scientist serves as a strategic analytics and ideation leader supporting Payment Integrity Affordability initiatives with a primary focus on Fraud, Waste & Error (FWE) and Special Investigations Unit (SIU) programs. This role provides leadership and guidance to a team of Decision Scientists while driving the development, evaluation, and implementation of innovative opportunities that improve affordability outcomes and strengthen Payment Integrity capabilities. The Lead Decision Scientist is responsible for establishing analytical frameworks, managing ideation pipelines, defining success metrics, and identifying cross-functional opportunities that create enterprise value across Payment Integrity programs. Required Qualifications 7+ years of experience in healthcare analytics, Payment Integrity, Fraud, Waste & Error (FWE), Special Investigations, or related healthcare operations. 5+ years of experience leading analytical projects or providing technical leadership within a healthcare environment. Demonstrated experience working with healthcare claims platforms including ACAS, QNXT, HRP, or comparable systems. Experience using SAS, SQL, Python, R, or other analytical and statistical programming languages. Experience performing advanced data analysis, opportunity identification, trend analy

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Revenue Integrity is seeking a Lead Director, Informatics (Performance Reporting & Insights) to lead the development and delivery of enterprise risk adjustment analytics and business intelligence solutions. This role transforms complex clinical, operational, and risk adjustment data into actionable insights that will drive provider performance, program efficiency, and executive decision-making. This leader will be responsible for creating action through data storytelling, advanced visualizations, and helping to advance the organization’s reporting strategy through AI and automation. This This role is customer-facing and will provide thought leadership and vision partnership to areas such as Market leads, Finance, Clinical, and Operational partners. The leader must also provide technical guidance to staff on BI tool input modeling and calculations. Key Responsibilities Risk Adjustment Performance Reporting Accountable for timely and accurate sharing of risk adjustment KPIs, trends, and performance drivers at a market, plan, and provider level through dashboards and reporting tools Quantify drivers of risk movement and surface those insights to business leaders for action Assess performance against operational and organizational objectives, including appropriate benchmarking and goal setting <

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure is moving from an application-centric world to a data-centric one — where AI depends on trusted, well-governed, and contextualized data across the business. As part of this shift, we're looking for a Staff Analyst, AI & Automation to lead the technical build of AI and applied ML capability inside the analytics function. This is an individual contributor role — you will not manage people. Your leverage comes from what you build and ship: AI agents, applied ML models, and automated analytics workflows that change how insight gets produced, working closely with cross-functional teams to bring these to life. AI is changing by the week, not by the year. We're not looking for someone who adopts AI once it's already mainstream — we want someone who is naturally ahead of the curve: scanning what's new, testing it quickly, and bringing it into the team before it's obvious to everyone else. This role has real freedom to experiment, rethink existing approaches, and change course as the field moves. WHAT YOU'LL DO Own the technical build of AI-powered analytics tools — including RAG pipelines, LLM-assisted querying, agent workflows, and applied ML models. Our current stack includes Glean, Gemini, Claude Code and Snowflake Cortex, and we expect that to change; we care more that you pick up new tools quickly than that you already know ours. Apply data science methods (forecasting, segmentation, anomaly detection, c

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. About the Role We are seeking an experienced and highly motivated Lead Consultant – Azure Infrastructure to lead cloud transformation initiatives, architect enterprise-scale Azure solutions, and provide technical leadership across migration, modernization, security, networking, and disaster recovery projects. The ideal candidate will possess deep Azure infrastructure expertise, strong consulting and stakeholder management skills, and a proven track record of delivering complex cloud engagements. This role requires a blend of technical leadership, architectural governance, customer engagement, and hands-on implementation expertise to drive successful cloud adoption and operational excellence. Key Responsibilities Azure Migration & Modernization • Lead large-scale Azure infrastructure migration programs, including lift-and-shift, re platforming, and cloud transformation initiatives. • Design and implement Azure IaaS solutions covering virtual machines, stor

Manager - HR Analytics (MIS) About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are seeking an experienced and detail-oriented professional to lead our HR MIS function while also managing strategic HR programs and projects. The role combines strong analytical and reporting expertise with program management capabilities, ensuring HR initiatives are data-driven, efficiently executed, and aligned with organizational goals. Key Responsibilities 1. MIS (Management Information System) & Analytics ● Lead design, automation, and governance of HR dashboards, reports, and analytics. ● Ensure timely and accurate reporting of workforce metrics (headcount, attrition, hiring, productivity, compensation, compliance, etc.). ● Partner with HR and business leaders to translate data into actionable insights. ● Provide support in driving end-to-end planning, execution, and monitoring of HR strategic programs (engagement, digitization, capability building, data compliance, etc.). ● Build predictive models for workforce planning, attrition, and productivity. ● Act as the central point of contact for managing all associated leadership presentation. ● Provide data-backed recommendations for policy, process, and people decisions. ● Build capability within HR teams for better use of data and program management. 2. Program Management (HR Transformation Strategic Projects) ● Support Head Transformation in managing program objectives, milestones, success metrics, and governance structures; escalate proactively. ● Collaborate with cross-functional teams, vendors, and HR CoEs to ensure program success. Qualifications & Experience ● Postgraduate degree (MBA/PGDM – HR, Business Anal

ROLE SUMMARY As an AI-enabled strategic scientific leader, you will partner with Oncology Research Leadership to integrate AI-driven strategies that will drive data-informed decision-making across our Oncology Research pipeline. As the AI Portfolio Lead, you will bridge cutting-edge AI/advanced analytics with deep Oncology R&D expertise to guide our portfolio strategy. Working as an individual contributor reporting into the Head, Portfolio Strategy and Program Management, you will analyze and continuously assess Oncology Research projects using AI-driven insights (predictive models, scenario simulations, competitive intelligence) and propose actionable strategies to Oncology Research Leadership. This role is science-focused and spans across discovery and preclinical stage programs, ensuring that our project teams pursue the most promising scientific approaches and mechanisms of action. Your work will directly inform pipeline prioritization and resource allocation decisions, enhancing the quality and objectivity of governance deliberations with robust data. ROLE RESPONSIBILITIES Portfolio Analysis and Insights: Continuously analyze the oncology Research portfolio (ESD through Preclinical) using advanced AI/ML tools and analytics to evaluate each program’s scientific strength, probability of success, and strategic portfolio fit per disease area strategies. Strategy Recommendation: Develop and propose data-driven portfolio strategies (at both project and portfolio levels) to senior leaders and Research governance committee. Use scenario analysis and predictive modeling to highlight optimal project prioritization, pipeline balance, and resource allocation scenarios. AI-Enabled Decision Support: Integrate AI-derived insights (e.g. machine learning predictions, knowl

Official Internal Title: Data Specialist About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Singapore, Hong Kong, Shanghai, Beijing, Guangzhou), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose : We move fast, support each other, and aim high—always with purpose and intention Who Thrives Here? We hire sprinters, not coasters—people who: Choose growth over comfort Lead through challenges Are energized by high expectations It’s not for everyone, and that’s intentional. I

About the Team OpenAI’s People team hires, engages, and retains world-class talent to safely build and deploy AGI that benefits all of humanity. The People Analytics team helps leaders make rigorous, evidence-based talent decisions and ensures that the systems supporting those decisions are valid, reliable, fair, and accountable. About the Role As a People Data Scientist focused on AI fairness and bias testing, you will help establish how OpenAI evaluates AI-assisted People systems and high-impact talent processes. You will design and conduct rigorous assessments to identify, measure, and mitigate potential bias across the lifecycle of models, agents, decision-support tools, and automated workflows. Your work will span the entire employee life-cycle, such as hiring, performance, promotion, employee development, workforce planning, etc. You will evaluate both technical systems and the broader human-AI decision processes in which they operate, examining not only model performance but also data quality, measurement validity, differential outcomes, human oversight, and unintended consequences. We’re looking for an experienced data scientist or applied researcher who can translate complex fairness questions into defensible evaluation strategies, scalable testing infrastructure, and clear recommendations for technical teams and senior leaders. This role is preferred to be based in San Francisco, CA. In this role, you will: Define and lead fairness and bias-testing strategies for AI-assisted People processes, models, agents, and decision-support systems from development through deployment and ongoing monitoring. Design rigorous algorithmic audits and validation studies, including adverse-impact analysis, subgroup and intersectional evaluation, error-rate analysis, calibration, measurement invariance, reliability, criterion-related validity, and sensitivity testing. Identify the appropriate fairness criteria for each use case, evaluate tradeoffs among competing definitions

Citibank, N.A. seeks a Project Management Lead for its Irving, Texas location. Duties: Manage end-to-end delivery of wholesale credit risk and climate risk initiatives, overseeing projects lifecycle from requirements intake through execution and implementation. Define and monitor project milestones, dependencies to ensure timely project delivery and resolution of emerging risks or constraints. Partner with model developers in order to streamline, consolidate and redevelop wholesale credit risk models. Support model validation, audit readiness and project success by maintaining comprehensive documentation, remediation trackers, and evidence repositories. Coordinate with technology partners to optimize model integration, leading efforts to embed Comprehensive Capital Analysis and Review (CCAR) and International Financial Reporting Standard 9 (IFRS9) models into the library system. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite, in accordance with Citi policies and protocols. Requirements: Requires a Master’s degree, or foreign equivalent, in Finance, Business Analytics, or related field and 4 years of experience as a Project Manager, Financial Analyst, Accountant, or related position involving treasury and balance-sheet risk assessment, wholesale credit risk management and financial audit management. 4 years of experience must include: Risk management processes and frameworks in order to measure financial exposures under stress scenarios in model development; Understanding of control framework and regulatory expectations for model documentation, validation and periodic review; Project management including project structuring, development of timeline, implementation phases planning, resources allocation, identification of dependencies and bottlenecks, and escalation of issues; Data analysis and data quality assurance, including cleanliness of the data, completeness and accuracy, while ad

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights. This sub-team is core to ensuring all key Run the Business (RTB) financial reports are complete, accurate, and operationally reliable on a day-to-day basis. The mandate is two-fold: build repeatable systems, playbooks, and documented workflows that reduce reactive work, and own the primary stakeholder relationships for RTB work across teams. This is a high-visibility role that combines hands-on ownership of critical reporting with team leadership and process-building. Responsibilities: Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability Build and maintain process documentation, checklists, and operational playbooks that make reporting workflows repeatable and resilient Receive and operationalize reports stabilized by Finance Data Products, integrating them into day-to-day RTB reporting operations Reduce fire-drill, ad-hoc response patterns by replacing them with documented, recurring workflows and automation Identify and drive automation opportunities across RTB reporting processes to improve efficiency, reduce manual effort, and further reduce ad-hoc work Own primary stakeholder relationships for RTB work, serving as the go-to point of contact across teams Lead large-scale, cross-functional initiatives with significant autonomy — from problem definition through execution — proactively communicating progress and risks to stakeholders and management Proactively identify risks, gaps, and opportunities for improvement within RTB reporting and drive initiatives to address them Experience: BA/BS with 5+ years of experience in finance, accounting, business, consulting, or analytics Advanced proficiency in

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The mission of the People Analytics team is to improve Stripe’s performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset: our Stripes. We are a team with diverse backgrounds across consulting, HR, and data-focused disciplines who are curious, passionate, and committed to using science and data to deliver high-value, precise outputs to our users. What you’ll do This role sits at the intersection of analytics and business partnership in equal measure. You will serve as the People Analytics Analyst and Business Partner to the People Partners supporting Stripe's International organization who look after our global sites across Core, Tech, and GTM functions. As the sole People Analytics team member based in Europe, you will be the first point of contact for International stakeholders and will need to operate with confidence and autonomy in that capacity. Responsibilities Serve as the primary analytics partner and single point of contact for People Partners and senior business leaders supporting Stripe's International organization Develop and present comprehensive analyses that shape how leaders understand and act on their organizations, including ad hoc requests requiring urgency and clear communication Design, build, and maintain analytics products and self-service tooling through Visier and AI-powered solutions Lead backend Visier platform a

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: As the Technology Risk & Governance Lead, you will help establish and mature WPP’s Enterprise Technology Risk function. Reporting to the Director of Technology Risk & CRC Strategy, you will lead technology risk management and governance initiatives, develop a growing team of risk SMEs, and drive a modern, data-led and automation-first approach to risk management. The successful candidate will work across technology, security, assurance and business teams to ensure risks are identified, assessed, communicated and managed effectively. What you'll be doing: Lead the development and maturity of WPP’s technology risk management framework and processes. Facilitate risk assessments, scenario analysis and risk-based decision making across Enterprise Technology. Maintain technology risk registers, issue management processes and remediation tracking. Produce high-quality management reporting, dashboards and risk insights for senior stakeholders. Drive continuous improvement through automation, workflow optimisation, analytics and agentic AI. Partner with Enterprise Securit

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. About This Job The Business Analyst (BA) plays a critical role in supporting a banking Data for AI programme. You will work across business, data and technology teams to assess current data practices, identify gaps and bottlenecks, and translate findings into practical requirements and improvements. The ideal candidate combines banking/financial services experience, strong business analysis skills and hands-on data governance/data management knowledge. What You’ll Do Assess current-state data governance, ownership, stewardship, access, controls and data processes. Work across AI/data use cases to understand data requirements, sources, flows, access and consumption. Lead stakeholder interviews and workshops with business, data and technology teams. Map processes and data flows and identify gaps, bottlenecks, manual effort and unclear accountability. Translate findings into clear business/data requirements, target-state improvements and reusable governance patterns. Identify recurring enterprise data issues versus use-case-specific challenges. Engage and constructively challenge senior stakeholders and SMEs. What We’re Looking For Bachelor’s degree in business, Finance or related field 5+ years of Business Analyst with experience in data, AI/analytics, or technology t

As a Lead, Growth Marketing, you'll set the strategic direction and quality bar for experimentation across the Self-Serve developer journey with a heavy emphasis on monetization and engagement motions. You have deep expertise in product-led growth, and you know how to turn that expertise into a prioritized roadmap while leading a team that levels up under your coaching. You're obsessed with customer success and you hold the team's work to that same bar. You bring a strong point of view on the customer journey and you're comfortable with ambiguity. You've done the IC work yourself, including dynamic segmentation and personalized messaging across email, in-product, and web for B2B SaaS/developer audiences, and now you want to multiply that impact through strategy, prioritization, and people. This is a highly visible role. You'll act as a change agent across Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations, and you'll be the person stakeholders come to for a clear read on what's working, what's next, and why. We're looking to speak with candidates based in Dublin for our hybrid working model. In particular, you will Own the growth marketing strategy and roadmap, deciding what the team prioritizes and why, based on customer journey analysis and business impact Build and manage the experiment pipeline: intake, prioritization, velocity, and a consistent framework for evaluating and scaling wins Set and enforce the quality bar for campaigns, messaging, and experimentation rigor across the team Coach and develop growth marketers, leveling up their strategic thinking, execution, and craft; player-coach mentality Serve as the primary stakeholder manager of your area for Product, Analytics, Data Science, Customer Success, Product Marketing, and Developer Relations, aligning on roadmap moments and cross-functional dependencies Partner with Product leadership to shape the digital experience strategy for converting, retaining, and gro