Analytics Lead Jobs

Executive Director, Data Engineering - Retail Analytics — 5 Locations. Apply via Workday.

Senior Director, AI Workforce Innovation and People Analytics — 2 Locations. Apply via Workday.

Staff Product Engineer (GenAI, AI/ML & Advanced Data Analytics) — Fab 10A, Singapore. Apply via Workday.

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Talent Management & Analytics team is scaling to its next major milestone—integrating advanced predictive insights and tactical AI into our workforce systems. Our mission is to build the data solutions that help the entire company recruit exceptional talent, design high-performing team structures, and put active organizational insights directly into the hands of everyone making team decisions. Operating at the intersection of data science, product development, and organizational psychology, we are transforming how Robinhood uses data to empower our workforce and anticipate organizational needs. As a Staff Data Scientist, you will serve as the team's technical and strategic anchor, owning the vision, design, and delivery of the high-impact data products that our executives, people partners, and line managers rely on every day. Your focus will be entirely on solving meaningful organizational problems: understanding what enables exceptional talent to thrive, accelerating team performance, and designing proactive strategies that support long-term retention across Robinhood. This is a unique opportunity to apply state-of-the-art language models and predictive analytics to

Managing Consultant, Advisors & Consulting Services, Performance Analytics — Mexico City, Mexico. Apply via Workday.

Sr. Analyst, Enterprise Analytics — PA - Philadelphia, 1701 John F Kennedy Blvd. Apply via Workday.

Mgr, Business Analysis, Workforce Initiatives, Data & Analytics — 17 Locations. Apply via Workday.

We are looking for a Full Stack Developer to join our growing engineering team. In this role, you will design, build, and operate scalable software platforms that support analytics and AI solutions — owning the full journey from intuitive user interfaces to robust cloud-native backends. What This Involves: Front-End Development Develop and maintain user interfaces for web applications using React and Next.js. Translate wireframes and design mockups into functional, accessible UI components. Identify and resolve front-end performance bottlenecks to ensure smooth user experiences. Write and maintain unit and integration tests for front-end components (e.g. Jest, React Testing Library). Back-End Development Develop and maintain high-quality back-end services and APIs using Python. Deploy, operate, and monitor applications in cloud environments (AWS, Azure, or GCP). Manage containerized applications using Docker and Kubernetes. Contribute to the design and evolution of scalable, cloud-native software architectures. Contribute to and maintain CI/CD pipelines for web and back-end applications. Collaboration and Quality Work closely with data scientists, engineers and project managers to deliver integrated end-to-end solutions. Support the development and deployment of AI and analytics solutions. Write clean, well-documented, and maintainable code across the full stack. Participate in technical discussions, code reviews, and continuous improvement initiatives. Adhere to internal and client-mandated data protection and compliance policies, ensuring all handling, storage, and sharing of data meets required security and privacy standards. Requirements: Bachelor’s degree in Computer Science or related fields. 5+ years of software development experience, with meaningful time on both front-end and back-end systems. Experience designing systems in cloud-native or distributed environments is a plus. Excellent communication and collaboration skills — comfortable working acros

We are expanding our agentic AI capability and are looking for an AI Engineer to join the team. You will work alongside senior engineers to build and maintain AI systems — contributing to agentic pipelines, retrieval infrastructure, and the integrations that tie these systems together. This is a hands-on implementation role with real ownership of components. You will grow your skills in a fast-moving AI practice, working on production systems that directly affect client outcomes. What This Involves: Build and maintain agentic pipelines and workflows under the guidance of senior engineers: tool use, orchestration, and multi-step reasoning. Implement and tune RAG pipelines — including embedding, chunking strategies, vector retrieval, and retrieval evaluation. Contribute to memory and context layer components: integrating vector databases, supporting knowledge graph pipelines, and helping maintain state management across agentic systems. Write clean, well-tested Python code and participate in code reviews. Debug and improve existing AI systems based on evaluation results and production feedback. Collaborate with data engineers and domain experts to integrate AI components with upstream data sources and downstream applications. Document implementations clearly and contribute to shared internal tooling. Requirements: 2–4 years of software or ML engineering experience, with at least 1 year working with LLMs or AI systems in a professional setting. Working knowledge of LLM APIs (OpenAI, Anthropic, or similar) and at least one agentic or RAG framework (LangChain, LlamaIndex, or equivalent). Solid Python skills and comfort with software engineering basics: version control, testing, REST APIs. Familiarity with vector databases or embedding-based search. Curiosity about agentic AI — you follow developments in the space and are eager to apply new techniques. Excellent communication and collaboration skills — comfortable working across cross-functional and client-facing te

As Senior Data Scientist for Engineering Systems you will work independently alongside sharp, generous, and pragmatic engineers from Server Query, Atlas Clusters, and Release Quality, among other teams. Together, we tackle problems spanning resource scaling across the Atlas fleet, safe feature rollout to MongoDB clusters, automated incident response and query engine performance. Join the Platform Data Science team and help us research, prototype and ship machine learning features for MongoDB’s core server, query engine and Atlas, our database-as-a-service cloud offering. We are looking to speak to candidates who are based in Dublin or Cork for our hybrid working model. What You'll Do Partner with Server Query, Atlas Clusters, Release Quality and other engineers to embed algorithmic rigor and optimization into resource scaling, release-safety and monitoring systems across the fleet and inside query engine Deliver production-ready, thoroughly tested statistical and ML algorithms with well-identified limitations that deliver measurable business impact, not just an impressive-sounding methodology Own the full feedback loop: instrument model architecture with the metrics needed to track performance and create dashboards in collaboration with our stellar analytics team, collect feedback from users and metrics to diagnose issues or opportunities, and iterate accordingly Deliver thoughtful, kind code reviews to your peers and act as a core contributor to internal packages, tooling, and team processes that increase developer productivity Measures of Success In 3 months, you’re familiar with our workflow, have an elementary understanding of our product and what teams we work with. You have delivered small-to-medium improvements to our project portfolio In 6 months, you’ve delivered one feature you researched and prototyped from scratch and demonstrated its impact on business metrics of your choice In 12 months, you've established a track record of shipping ML-driven improveme

About the Role We are looking for a detail-oriented and enthusiastic HR Payroll Intern to support our HR team in payroll operations and employee-related processes. This internship will provide hands-on exposure to payroll management, HR operations, employee data, and HR systems. Duration - 6 Months Key Responsibilities ● Assist in the monthly payroll processing and related HR activities. ● Maintain and update employee records and payroll data. ● Support attendance, leave, and other payroll-related inputs. ● Assist in preparing and validating payroll reports and MIS. ● Coordinate with relevant teams to resolve payroll and employee data discrepancies. ● Support documentation and other HR Operations activities. ● Ensure accuracy and confidentiality of employee information. ● Assist the HR team with other payroll-related tasks as required. Requirements ● Pursuing BBA/MBA/PGDM in HR, Finance, or a related field. ● Strong attention to detail and numerical aptitude. ● Good working knowledge of MS Excel. ● Good communication and coordination skills. ● Ability to handle confidential employee information responsibly. ● Candidates who can commit to a 6-month internship are preferred. What You'll Gain ● Hands-on experience in Payroll & HR Operations. ● Exposure to real-world employee data and payroll processes. ● Opportunity to work in a professional corporate environment. ● Practical understanding of HR systems, processes, and reporting.

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview Instacart’s Catalog Operations team powers the data that makes shopping effortless. Catalog data represents the vast majority of what customers see when they browse, search, and buy. Our quality, coverage, and accuracy directly shape the customer experience. We are an AI-first operations team that builds LLM-driven pipelines and scalable quality programs to create, enrich, and govern product data across the Instacart ecosystem. We’re looking for a Catalog Operations Analyst II to accelerate our Health and Meals pillar within Online Grocery, one of our top strategic priorities. In this role, you will drive end-to-end data quality and enrichment for health, nutrition, and meal-related attributes, partnering closely with Catalog Engineering, Data Science, Product, and ML, as well as external data providers and BPOs. You’ll join a tight-knit team of 8 who roll

Job Title: ESOP Management Specialist – HR Operations Location: Noida Role Overview We are looking for a detail-oriented and process-driven ESOP Management Specialist to manage the end-to-end administration of the Employee Stock Ownership Plan (ESOP). The role will partner closely with HR, Finance, Legal, Payroll, and external stakeholders to ensure seamless execution of equity programs while maintaining compliance, accuracy, and a superior employee experience. Key Responsibilities • Manage the complete ESOP lifecycle, including grant creation, vesting schedules, exercises, lapses, cancellations, and exits. • Maintain accurate employee equity records and ensure timely updates in the ESOP management platform. • Coordinate with Finance, Legal, Payroll, and external trustees/vendors for smooth execution of ESOP-related transactions. • Prepare and validate grant letters, exercise documentation, employee communications, and regulatory reports. • Support onboarding and offboarding processes related to equity grants and settlements. • Ensure compliance with company policies, accounting standards, tax regulations, and applicable statutory requirements. • Address employee queries regarding grants, vesting, exercises, taxation, and policy interpretation. • Generate periodic MIS reports, dashboards, and analytics on ESOP utilization, vesting, exercises, and outstanding grants. • Conduct regular audits and reconciliations to ensure data accuracy and process compliance. • Identify opportunities to automate and improve ESOP administration processes. Required Qualifications • Bachelor's degree in Human Resources, Finance, Commerce, Business Administration, or a related discipline. • 3–7 years of experience in HR Operations, Equity Administration, ESOP Management, or Total Rewards. • Experience handling employee equity programs in a listed or high-growth organization is preferred. • Strong understanding of ESOP regulations, equity administration, taxation, and co

Job Title: Senior Data Analyst Role Overview We are looking for a Senior Data Analyst to work on a broad range of data analytics, data visualization, and business intelligence initiatives across multiple industries. The role requires strong analytical skills, frequent client interaction, and the ability to translate business problems into effective analytical and BI solutions while collaborating closely with Data Engineering teams. Key Responsibilities Work on a wide range of data analytics, data visualization, and business intelligence problems across various industries. Engage with clients and business stakeholders to understand business context, objectives, and challenges. Analyze and document business processes, mapping end-to-end workflows using visual formats such as process flow diagrams. Translate business problems into analytical solutions by defining metrics, KPIs, dashboards, and reports. Develop, publish, and maintain interactive dashboards and visualizations to support business decision-making. Perform storyboarding to structure analytical insights and present clear, compelling narratives to stakeholders. Collaborate closely with Data Engineering teams by providing clear and detailed requirements. Ensure data accuracy, consistency, and adherence to best practices in reporting and analytics delivery. Perform quality checks (QC) and validation of reports and dashboards before client delivery. Participate in regular client and internal meetings and prepare clear MoM (Minutes of Meeting) documentation. Maintain proper documentation for dashboards, metrics, data logic, and business rules. Track work items, enhancements, and issues using JIRA . Mandatory Skills & Requirements (Must-Have) Strong hands-on experience with Tableau (mandatory), including: Dashboard development and publishing Calculated fields, filters, parameters, and LOD calculations Data blending and joins Row-Level Security (RLS) implementation Replacing and managing data sources Exp

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Optimization Data Analyst We are looking for a Data Analyst to join our Optimization Data Analytics team. The ideal candidate is someone who is able to approach and understand complex problems in a structured manner, while converting the results into a compelling and actionable story for internal or external stakeholders, like our merchants. This role will split focus equally between supporting our top customers, and working on automation and scaling projects, leveraging technical skills to enhance team efficiency and support self-service analytics for the Account Management organization. Whether you come from the payments space or not, we need you to be an independent and enthusiastic thinker who is curious about how the payments ecosystem works and how that fits in with global commerce. What you’ll do Framework Development: Collaborate with cross-functional data teams to develop scalable and reusable frameworks for evaluating large datasets on pressing business questions. Data Analysis: Determine the necessary data required to solve a wide variety of business problems; extract required data, draw conclusions, and provide recommendations. Whether it’s providing insights to our key products or facilitating new experiments with our merchants, you’ll be driving new initiatives to help Adyen grow 20x. Be a Subject Matter Expert: Act as