Analytics Lead Jobs

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 . Senior Analytics Engineer As a Senior Analytics Engineer on the Platform team, you'll build the scalable data models and pipelines that power analytics, experimentation, and decision-making across Coinbase. Our Analytics Engineering team transforms raw data into trusted, well-modeled sources that stakeholders across Product, Engineering, and Data Science rely on daily. You'll own end-to-end data solutions for specific business domains, turning complex data flows into clean, reusable frameworks that unlock commercial value at scale. What you'll do: Own end-to-end data modeling for assigned business domains, from understanding source system data flows through designing modular, reusable models (star/snowflake schemas) that serve as the single source of truth for downstream teams. Build and optimize ETL/ELT pipelines using modern tools like dbt and Airflow, ensuring data quality, reliability, and performance at scale across Snowflake or similar warehouse architectures. Partner with Engineering, Product, and Data Science teams to identify data gaps, define requirements, and deliver data products that directly enable experimentation, ad hoc analysis, and business metric optimization. Develop scalable abstractions and frameworks (UDFs, Python packages, internal data apps) that multiply the efficiency of other data teams and reduce time-to-insight across the organization. D

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: You're joining Notion's People Analytics & Operations team as part of an 18-month rotational program -- the group that builds the insights engine powering every people decision Notion makes. We look for slope over intercept. We care less about where you trained and more about what you've built. If you've ever rebuilt a broken process because it was bothering you, used AI to do something you couldn't have done alone, or found yourself reading about labor economics for fun -- you're the person we're looking for. Over 18 months, you'll rotate across people operations, people analytics, and compensation/benefits. Every rotation is real work with real ownership. On the analytics side, you'll build dashboards that land in exec review, write SQL that powers headcount models, and prototype AI-assisted workflows that help our team move faster. On the operations side, you'll run the HR engine -- managing employee lifecycle transactions in Workday, owning onboarding and offboarding coordination end-to-end, triaging and resolving employee requests, and keeping our people data clean and audit-ready. You'll be paired with a sen

About the Team Would you like to be part of creating a unicorn within a unicorn? Solve some of the biggest challenges facing financial inclusion of Bharat? Well, then here's your chance! Financial Services (FS) is one of the biggest new bets we are taking at Meesho on the next 10x horizon opportunity for us. Just as Ant Financial did for Alibaba, and Mercado Pago did for Mercado Libre, our vision is to build financial services for Meesho, becoming our key growth and revenue driver. We have found our Product-Market Fit, built and proved 0-1 and 1-10 journeys. Now looking for someone who can be the founding member of a 10-100-1000 journey, and this is possibly one of the most exciting and enriching experiences one could consider in their career. About the Role Meesho FS runs two lines of business: SME Lending, which offers Business Loans, and User Lending, which offers BNPL and Personal Loans (PL). User Lending is now our primary focus in this phase of our FS journey. We have 274Mn ATU, and risk management is at the core of building any sustainable credit business at scale - our being a captive audience means both Growth and Risk are an outcome of underwriting, which is owned by the Risk team. Herein also lies one of our biggest challenges: how do we assess the risk of borrowers without any credit history or income data? How can we leverage alternative information to better profile borrowers? How can we leverage our platform uniquely to create a sustained competitive advantage? This person will be responsible for driving the analytics behind these questions for User Lending - creating analytical frameworks, developing high quality analysis, driving insights and actions, and recommending policy decisions, across a well-established BNPL portfolio and a Personal Loans portfolio that is still scaling. Your role will focus on: Owning the risk for one or more segments of the portfolio while maintaining a healthy growth. Analyzing credit policies using Meesho platform data,

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Cyber Security team at Freddie Mac is searching for a strong data analyst to collaborate on developing and administering data security policies as well as safeguarding information, evaluating existing data security procedures and identifying new areas of risk for Freddie Mac. If this role sounds like a fit for your skill set, please read on, apply and learn why there is #MoreatFreddieMac ! Our Impact: We develop and train the enterprise on relevant Identity and Access Management best practices, develop and support automated IAM processes, and develop and implement ongoing IAM efficiency improvements with limited oversight by managers. The role will work closely with Enterprise partners and security control owners on IAM automation development activities and alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy. Your Impact: Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and Access Management activities. Develop and proposes strategies to reduce security risk in the organization by implementing procedural prevention, detection, and response measures, while still enabling positive business outcomes. Comfortable supporting ad hoc data retrieval and analysis requests using SQL queries and Copilot/Excel . Creating audit-ready reference documentation. This role will allow for and support rapid AI-based extrapolation/replication of these services as future automated IAM microservices. Qualifications: Typically, 5 - 7 years of rel

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Business Intelligence Analytics Projects Senior Analyst to our Channel Partners team in São Paulo, Brazil ! This role is designed for a highly analytical, data-driven professional, with a strong performance mindset and a clear focus on scalability and efficiency. You will act as the technical architect and visual storyteller of our partner ecosystem, owning the full insight lifecycle, from modeling complex data using SQL and Python to delivering executive, ready insights through Looker, Metabase, Google Analytics, and Google Workspace, while actively leveraging AI-powered tools to scale data management and insight delivery for Channel Partners. Your mission is to turn data into measurable performance gains, accelerating decision-making through automation, intelligence, and clarity. YOUR IMPACT Act as a strategic analytics partner for Channel Ops and Strategy, translating performance questions into scalable technical and AI-enabled solutions. Enable teams through data literacy, tooling, and AI usage coaching, reinforcing a strong data-driven and performance-oriented culture. Identify inefficiencies across the

Here's a summary of the role Data is only powerful when everyone agrees what it means. This is your chance to build a world class product behavioural data system and process from the ground up. We're rebuilding the internal product our teams use to measure product success and end-user value across all our 24+ products in four business units. You'll design the single source of truth: the metric definitions, the telemetry standards, the data contract engineering instruments against, the change governance processes and tooling, and the models that turn behaviour into portfolio insight. You'll educate and support the teams using this internal behavioural data product to set expectations and and plot a rational roadmap for the maturing of this product, helping our user to use the data honestly and wisely. Usage tells you what happened, not why, or whether it mattered. We want someone who sets quantitative behaviour against qualitative evidence and treats the disagreement as the interesting part. AWS/Snowflake is our spine; capture and BI are open decisions you'll help make. Your models feed the business reviews our executive team, CTO and investors use to run the portfolio, and engineering is committed to instrument against your contract. Here's what your first twelve months should look like First 90 days. Learn the estate, meet the engineers who instrument it, and agree the measurement model for one product end to end — with a defensible adoption number and the qualitative read on what it means. Three to six months. Data contract published, instrumentation spec landed with engineering, first business unit building against it. Definitions, naming and versioned change control governed. Six to twelve months. Rolling out across the remaining business units through the BU-aligned analysts, portfolio reporting running on your numbers. Here's a breakdown of what you'll do (not all

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most complex semiconductor chips. What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods. In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD wi

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Team Mindbody has a complex suite of products and features that customers rely on to run and grow their businesses. As the platform has grown in size and complexity, so has the opportunity to more consistently embed data into how we build and prioritize. Product Analytics exists to unlock that opportunity. We are a dedicated analytics function embedded within the Product organization, focused on surfacing timely, actionable insights that help our teams build better products and drive real business outcomes. We partner closely with Product, Design, and Engineering to understand how customers interact with our platform, identify friction and opportunity, and measure the impact of what we ship. We are a distinct team from Business Intelligence, though we partner closely with BI, who own centralized reporting infrastructure, while we focus on fast-paced, exploratory analysis tied directly to product decisions. The Role and Responsibilities We're looking for a Senior Product Analyst to join our growing Product Analytics team. This is a high-impact, high-visibility role focused on Mindbody software. You'll act as a strategic analytics partner to product

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Team Mindbody has a complex suite of products and features that customers rely on to run and grow their businesses. As the platform has grown in size and complexity, so has the opportunity to more consistently embed data into how we build and prioritize. Product Analytics exists to unlock that opportunity. We are a dedicated analytics function embedded within the Product organization, focused on surfacing timely, actionable insights that help our teams build better products and drive real business outcomes. We partner closely with Product, Design, and Engineering to understand how customers interact with our platform, identify friction and opportunity, and measure the impact of what we ship. We are a distinct team from Business Intelligence, though we partner closely with BI, who own centralized reporting infrastructure, while we focus on fast-paced, exploratory analysis tied directly to product decisions. The Role and Responsibilities We're looking for a Senior Product Analyst to join our growing Product Analytics team. This is a high-impact, high-visibility role focused on Mindbody software. You'll act as a strategic analytics partner to product

Markets Quantitative Analyst - Capital Analytics — New York New York United States. Apply via Workday.

Markets Quantitative Analyst - Capital Analytics, AVP — London United Kingdom. Apply via Workday.

College Intern - Data Analytics in Supply Chain — Singapore, South West, Singapore. Apply via Workday.

Specialist - Process Analytics - FCRM 4B — TOWER -4, JHARSA. Apply via Workday.

Analyst - Process Analytics - Claims & Underwriting 5A — TOWER -4, JHARSA. Apply via Workday.

Business Analysist for GCC Source: Adani Group | Job ID: 56375