Analytics Lead Jobs

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. Data is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas. As an Analytics Lead, you will collaborate with our world class team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development. In this role, you will help us tackle problems such as: How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base? How can we best merchandise Luxury rideshare products within the Lyft app? What product features or app changes would improve the rider experience and motivate riders to take more Luxury rides? How do coupons and incentives motivate riders and drivers in premium segments? What

Quantitative Analytics Tech Lead (Collateral Models) — McLean, VA. Apply via Workday.

As a Vice President within this global team, you will own key analytical workstreams, drive strategic client-level initiatives, and execute optimization agendas. Your primary responsibilities will include: Client Analytics & Optimization: Develop client-level analytics to identify and pursue opportunities for optimization. Stakeholder Management: Lead the agenda with Client Treasurer and Client Analytics teams regarding allocation methodologies and strategy. Technology Implementation: Manage the end-to-end tech implementation of new analytics, metrics, and reporting tools. Project Management: Oversee the lifecycle of analytical projects, from data acquisition to final delivery and follow-up. Data Acquisition and Analysis: Perform deep data acquisition and analysis to generate actionable insights and support strategic initiatives. Data Quality Management: Lead the escalation and follow-up process for data quality issues to ensure the integrity of underlying data. Metric Development: Design, develop, and implement new metrics to track performance and drive business outcomes. Ad-hoc Pricing: Provide analytical support and ad-hoc pricing for global clients to ensure optimal returns. System Ownership: Act as the module owner of GSIB, and Client Financials modules in our LMS data-mart (Clearview), driving their development and effective use. As an integral part of the broader Pricing and Optimization team, you will also contribute to a range of activities spanning subject matter expertise on client liquidity value, client pricing, client financials, and Services data architecture. Also, some activities related to product development, which include technical coordination, control execution, and performance monitoring, alongside ad-hoc tasks like issue management, UAT testing, and stakeholder coordinat

Opportunity Overview: Lead analytics and clinical configuration strategy for our auto-decisioning platform, driving end-to-end solutions from data gathering through scaled deployment. Partner cross-functionally to translate business needs into analytical frameworks, independently recommending actions that shape product and business outcomes. Own auto-decisioning strategy for new client implementations with minimal oversight, while ensuring explainable, governance-aligned analytics practices. Build and mentor a high-performing team, embedding best practices for scalable, reusable analytics solutions. Ideal for a strategic thinker who thrives at the intersection of hands-on execution and team leadership in a fast-paced, data-driven environment. What you’ll do: Provide thought leadership & strategic thinking to translate business problems into analytical and clinical configuration frameworks,and independently recommend actions and provide business insights Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analytic solutions that includes data gathering, analysis, ongoing scaled deliverables, and presentations Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization Foster a collaborative and innovative culture, set clear goals, mentor staff. Establish best practices and coach team members to develop and execute complex analytics initiatives with scalability and reusability in minds Develop, implement, and monitor day-to-day operations of analytics and clinical configuration team Execute analytics initiatives that directly impact our auto decisioning roadmap and business outcomes while working as part of a cross-functional team. Partner with Data Governance to ensure tractable and explainable analytics and responsible data Research, design, execute and optimize

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

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are Product Marketing defines how Justworks wins —shaping our narrative, informing decisions, and driving growth through pricing, positioning, and GTM systems. The Platform Product Marketing team owns the strategic marketing foundation for the Justworks platform and product portfolio. We connect product strategy to market impact—defining how innovations are packaged, communicated, and commercialized to drive adoption, growth, and long-term customer value. We are seeking a Staff Product Marketing Manager, AI & Analytics to lead the market strategy for AI across Justworks. In this role, you will shape how customers understand, trust, and adopt AI-powered capabilities while helping define the role AI plays in the future of our platform. You will partner closely with Product, Engineering, Design, and Go-to-Market teams to bring new innovations to market, influence investment decisions, and ensure our AI strategy delivers meaningful value for customers and the business. This role is built for a strategic product marketer who thrives at the intersection of emerging technology, customer insight, and business strategy. You combine

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 At CVS/Aetna, we're pioneering a total approach to health and wellness. As a Decision Scientist on the Analytics & Behavior Change team, you'll build industry-leading analytics, data, and technology platforms to help reimagine health care. This position will play a critical role within a cross-functional team, delivering powerful solutions. Utilization Management (UM) ensures consistent delivery of the right care, in the right setting, by the right people. The UM Data Science team leverage data, analytics and AI solutions to transform UM operations and optimize provider and member experience. Develop analytic solutions to optimize Utilization Management in healthcare Explores, examines and interprets large volumes of data in various forms Performs analyses of structured and unstructured data to solve moderately complex business problems Utilizing advanced statistical techniques and mathematical analyses Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs Uses data visualization techniques to effectively communicate analytical results and support business decisions Creates and evaluates the data needs of assigned projects and assures the integrity of the data </u

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. The Role You have an uncanny knack for problem solving and you have a sharp product mindset. Our engineers are involved in all aspects of the software design process and create high-performing, scalable, and secure products. You’ll work alongside cross-functional teams to design right-size solutions that power a new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, Full-Stack Engineers, and Product teams to translate customer and business requirements into robust data solutions - enabling everything from standardised dashboards to advanced analytics and embedded intelligence. You are hands-on, pragmatic, and comfortable working in a fast-evolving environment where you’ll help shape both the technical platform and the operating model as we scale. What you’ll be doing Build and maintain scalable data pipelines to ingest, transform,

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers. The Senior Director, Data Advisory Services (DAS) plays a critical role within Advisory, partnering closely with the broader D&B Sales organization as well as the Analytics Advisory and Solution Architecture teams to demonstrate the value of D&B Data and Insights in solving complex business challenges for both existing clients and new logo prospects. The Senior Director, Data Advisory Services is deeply passionate about data and exemplifies Dun & Bradstreet’s core objectives: honoring the client, stewarding our data, protecting and growing the franchise, developing new insights, and investing in our people. With extensive experience leading enterprise‑scale data management initiatives, the DAS Leader focuses on coaching and mentoring Data Advisors to design, standardize, and scale high‑impact service blocks that clearly articulate and deliver the value of D&B data across diverse customer use cases. In close partnership with the Analytics Advisory Leader, this role helps shape a progressive consultative strategy that creates expansion opportunities for Advanced Analytics sales. The DAS Leader guides the team in building automated and agentic solutions to deliver Data Advisory Services at scale, including data stewardship, matching and identity strategies, hierarchy activation, evaluation of new data solutions, industry best‑practice development, and global data education initiatives. This role is responsible for driving consistency, quality, and repeat

Our Purpose Mastercard powers economies and empowers people in 200&#43; 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 Manager, Supplier Enablement Role Summary The Sr. Manager, Supplier Enablement – Issuer Management & Analytics will lead issuer campaign management and analytics to drive commercial card volume growth and optimize supplier enablement performance. This role is accountable for managing issuer and third-party provider relationships, overseeing supplier enablement campaigns, and leveraging data and analytics to identify growth, optimization, and volume realization opportunities. The role operates at the intersection of issuer management, supplier enablement, campaign execution, and data-driven strategy. Key Responsibilities Issuer Management • Partner closely with issuers and account management teams to drive B2B volume growth through supplier enablement campaigns. • Manage relationships with third-party supplier enablement providers to ensure issuer campaigns are executed effectively, efficiently, and against agreed objectives. • Develop quarterly issuer performance reports highlighting high-growth, declining, and at-risk suppliers and identifying opportunities for further activation. • Lead biweekly and monthly issuer and provider reviews to assess pipeline opportunities, campaign performance, volume realization, and key trends. • Perform targeted analysis to identify and leverage successfully valid

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. The Fulfillment group, in Marketplace, at Lyft is responsible for determining what inventory can be reliably offered for a given rider session and reliably fulfilling rider requests. The group has a few sub teams that are responsible for generating feasible offers for riders, connecting rider requests with drivers to fulfill those offers and a demand and supply lifecycle platform that power great rideshare experience. As a software engineer at Lyft, you'll collaborate with other software engineers and cross functions like product, data science and analytics to lead and execute large projects from idea to efficient execution. We're looking for a motivated Software Engineer who is passionate about solving challenging technical problems and is excited about working in a fast-paced, innovative and cross-functional environment where they will take on some of the most interesting and impactful problems in ridesharing. Responsibilities: Contribute to the roadmap and architecture based on technology and business needs Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various trade offs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Build Features from tech specification to positive execution Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags and tech talks Experience: BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience 3+ years of software engineering industry experience Proficiency in object-oriented programming Experience designing, debugging and running fault-tolerant, highly available, large-scale di

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. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

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. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio — a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams — someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts — pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate — or an AI agent — can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer — prompts, context, and guardrails — that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Nuro is looking for a People Systems Analyst to drive Workday operations, reporting, and workforce analytics for our People Operations team. You will own production support alongside two other analysts, build dashboards and analytics for leadership, and keep core people operations running. We are a lean, high-impact team that has invested heavily in AI-powered automation, and we are looking for someone who brings real Workday experience but thrives in a scrappy, fast-paced environment where you build, iterate, and ship. About the Work Workday Systems and Configuration Provide Tier 1 production support for Workday, including business process definitions and validations, EIB files, calculated fields, and transactional processing With direction from the Sr. Workday Analyst, configure, test, and implement new release features in implementation tenants prior to release dates Write test scripts and participate across every phase

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales,social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, experimentation, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Difference You Will Make ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. A Typical Day Design and build metrics / dimensions to monitor product and business performance. Build sophisticated reporting, analytical tools, and dashboards that emp