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Analytics Lead Jobs

3,806 active opportunities · Updated for October 2026

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Explore current analytics lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

A
Airbnb
📍 United States• Full-time
1mo ago

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: Airbnb, a global leader in the travel and hospitality industry, is dedicated to creating a world where anyone can belong anywhere. With our unique accommodations and experiences, we connect travelers with local hosts across the globe. As we continue to innovate and grow, we're looking for dynamic individuals to join our team and help shape our trajectory. The Difference You Will Make: Airbnb is seeking a Lead, Advanced Analytics, Acquisition to support the acquisition of new Hosts and drive the growth of the business. The individual in this role will focus on in-depth data analysis, metric definition, benchmark creation, experimentation, and synthesis to high-level insights for prioritization. A Typical Day: Conduct advanced data analysis to extract actionable insights that inform strategic decisions Collaborate closely w

pythonsqlagile
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S
1mo ago

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As a Lead Developer Advocate, you will serve as a critical bridge between Snowflake’s product and engineering teams and the global developer community. You will create technical content, reference implementations, demos, and programs that help SQL developers, analytics engineers, data engineers, and data teams succeed with Snowflake. You will also represent the voice of the developer internally, translating friction points and emerging workflow needs into actionable product feedback, enablement priorities, and roadmap input. What You’ll Do Define and drive the advocacy strategy Own and execute the developer advocacy strategy for a key Snowflake domain spanning SQL development, analytics workflows, and the modern data stack. Align advocacy priorities with product goals, adoption opportunities, and measurable business outcomes. Identify the highest-value technical narratives, workflows, and proof points that will accelerate developer adoption and trust. Create technical content and reference implementations Build high-quality technical content including tutorials, quickstarts, blog posts, videos, workshop materials, code samples, and opinionated best-practice guides. Design and maintain production-grade reference implementations and demos that show how to use Snowflake for re

pythonsqlgit
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DU
DoorDash USA
📍 San Francisco• Full-time
15 days ago

About the Team The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash. About the Role Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience. We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you! You're excited about this opportunity because you will… As a senior Individual Contributor, mentor and influence junior Data Scientists in investigating complex issues and uncovering key drivers of our business Influence the Product and Operations roadmap by making actionable recommendations based on data Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses We're excited about you because you have… A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain 8+ years of experi

awsgitrest
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G
Gitlab
📍 Canada• Full-time• Remote• From $139.2K/yr
1mo ago

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role The Pricing team defines and executes GitLab's pricing strategy, a function that's important to our success. As a Lead Pricing Strategist, you'll shape pricing and packaging across our portfolio, from the Premium and Ultimate tiers to GitLab Duo and our growing set of artificial intelligence (AI) and usage-based products, including Flex and Orbit. You'll work with leaders across Product Management, Product Marketing, Finance, go-to-market teams, Sales, and Deal Desk to evaluate opportunities, create business models for new offerings, and improve how we package our existing portfolio. What you’ll do Collab

REMOTEgitrestai
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Datadog’s Product Analytics suite spans Product Analytics, Session Replay, Feature Flags, and Experimentation. Together they give product teams a complete, quantitative and qualitative picture of how users experience their applications, plus the tools to release, measure, and improve those experiences with confidence. Our team of Applied Scientists makes this space smarter and more autonomous, researching, prototyping, and industrializing AI/ML capabilities that make the suite proactive and agentic by default: AI-driven event understanding and instrumentation, conversational analytics, automated insight reporting, and UI/UX issue detection from session replays. The ambition is to let product teams act with autonomy, moving from question to insight to safely released change without depending on engineering or analysts. As the Engineering Manager for this team, you’ll lead a team of Applied Scientists through an early-stage, high-impact opportunity: defining the team’s technical vision, growing its footprint, and shaping how AI capabilities get built and delivered across the suite. This is greenfield work, both in the R&D itself and in the team you’ll grow around it. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead and grow a team of Applied Scientists researching, prototyping, and industrializing AI/ML capabilities across the suite Define the technical vision and roadmap for the suite’s agentic and proactive AI/ML capabilities: event understanding, conversational analytics, insight reporting, and session-replay issue detection Stay hands-on as a technical contributor and reviewer, helping the team move from research prototypes to production-grade capabilities Shape how AI capabilities get built and delivered across the suite, partnering closely wi

aigorust
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D
Datadog
📍 New York• Full-time• From $192K/yr
1mo ago

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: About Abbott Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. <br /

pythonsqlpostgresql
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Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: · Career development with an international company where you can grow the career you dream of. · Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. · An excellent retirement savings plan with a high employer contribution. · Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. · A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. · A company that is recognized as one of the best big companies to work for as well as the best place to work for diver

artificial intelligence
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P
Pinterest
📍 US; Remote, United States• Full-time• Remote• From $145.7K/yr
1mo ago

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . As the Lead Product Analyst- Lifecycle Marketing, you will serve as the strategic analytics partner for lifecycle and CRM initiatives, helping shape retention strategy through cohort-based insights, experimentation, and cross-functional partnership. You will partner deeply with PMM, Product, and Data Science to measure impact, improve lifecycle programs, and identify the highest-leverage opportunities to drive retention. This role is ideal for someone who combines strong analytical rigor, operational execution, and excellent communication skills. You should be comfortable moving from hands-on analysis to clear recommendations, and from detailed experiment readouts to polished presentations for cross-functional and leadership audiences. What you’ll do Be the analytical thought partner for lifecycle, CRM, and retention strategy. Partn

REMOTEpythonsqlaws
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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 About team : DevicesTech is a strategic and critical center of technology within the Paytm payments vertical that builds scalable payment solutions to offer a secure & seamless payment experience to millions of users with devices ranging from the versatile flagship devices - All-in-One POS and Soundbox to the small yet powerful - Linux POS. The EDC machines accept all payment methods(All debit and credit cards, Paytm wallet, net-banking, All UPI apps) using our range of Paytm devices. The IoT devices support innovative payment workflows to prevent frauds and increase overall engagement of the merchants and consumers. Millions of devices are deployed in the country from large store chains to smaller merchants with an aggressive market focus accomplishing very fast growth. This scale is made possible with the underlying core technology platform built by the Devices Tech team that is scalable with robust security and a highly accurate transactional system with safe money movement. The Devices Tech builds and owns a mix blend of EDC and IoT(Internet of Things) middleware services powered by several Java microservices, mix of Sql and NoSql databases, distributed architecture on cloud with many AWS managed and self manages tools and services, and inhouse devices SDKs built by our Android and Embedded System team. About the Role: We are looking for a highly analytical and business-oriented Subscription Growth Manager to drive recurring revenue, retention, collections, renewals, and merchant lifecycle management for the Soundbox subscription business. The role will be responsible for owning subscription revenue performa

javasqlpostgresql
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Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The Manager, Enterprise Analytics & Reporting leads a multidisciplinary team of analytics and reporting developers, business intelligence professionals, and data engineers responsible for developing, maintaining, and governing enterprise analytics, reporting, and data solutions across Tableau, Epic Clarity, Databricks, and other approved platforms. This role combines people leadership, technical expertise, and business partnership. The Manager works with commercial, clinical, operational, and technology stakeholders to translate business needs into scalable dashboards, reports, data products, and analytical solutions. The role is also responsible for establishing reporting standards, improving the usability and consistency of the reporting environment, managing demand and priorities, and ensuring the organization can confidently use data to support decision-making. The Manager intentionally grows the engineering capabilities of the team over time, helping reporting and business intelligence developers build the skills and practices needed to deliver increasingly scalable, reusable, automated, and engineering-oriented data and analytics solutions. This role requires consistent onsite presence in Madison, WI up to four days a week. Essential Duties Include, but are not limited to, the following: Lead, coach, and develop a multidisciplinary team of analytics and reporting developers, business intelligence professionals, and data engineers suppo

sqlExcelTableau
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E
EVERY™
📍 San Francisco• Full-time• $900K – $1M/yr
15 days ago

About us EVERY™ is a leading VC-backed food tech ingredient company and market leader using precision fermentation to create animal proteins without the animal for the global food and beverage industry. EVERY™ is a team of passionate change-makers who are reimagining the factory farm model with a kinder, more sustainable alternative. Leveraging precision fermentation to produce hyper-functional and one-to-one replacement proteins from microorganisms, EVERY™ is on a mission to decouple the world’s proteins from the animals that make them. We are a passionate, determined (and fun!) team with a vital objective, and we're on the lookout for like-minded people to join our mission. For more information, visit www.every.com The Role: This unique entry-level Research Associate I position offers the rare chance to work across two core teams, Analytics and Protein Science. You’ll gain hands-on experience supporting protein development, purification, and analysis, while learning how these disciplines work together to drive innovation in precision fermentation. This is a great opportunity for someone early in their career who thrives in the lab, loves variety, and wants to learn fast in a collaborative, mission-driven environment. What you'll accomplish Generate data through basic biochemistry/molecular biology techniques (including but not limited to BCA, SDS-PAGE) Operate and maintain analytical equipment (e.g., HPLC-UV/RI and Combustion Analyzer, dynamic light scatterer, FPLC-UV, fluorescence/UV plate reader) Support protein characterization workflows through lab-scale protein powder generation involving bench-scale downstream processing unit operations (microfiltration, ultrafiltration, diafiltration) Prepare samples, reagents, and buffers to support cross-functional experiments Collaborate with scientists and engineers across teams to troubleshoot and iterate quickly as part of our Design, Build, Test, and Learn pipeline Present results

aigolean
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M
Mixpanel
📍 New York• Full-time• Hybrid
1mo ago

About Mixpanel Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com . About the Operational Finance Team The Operational Finance Team is responsible for a variety of tasks that are instrumental in keeping the business running on a day-to-day basis. There are four teams within the Operational Finance Function each serve a specific purpose to the company: Accounting and Accounts Payable - Accurately records all vendor related transactions and keeps our vendors paid, Billing Team - provisions all customers access to mixpanel and ensure proper revenue recognition, Collection Team - records all customer payments and ensures we get paid on time, Payroll - prepares payrolls for all employees world wide. The team is split between the Bay Area, London, Bangalore and Barcelona. About the Role The Procurement Operations Lead will lead the procurement program at Mixpanel. They will manage a team of two, and will be responsible for organizational spend, maximizing vendor value, optimizing procurement processes, minimizing risk, and assisting business partners throughout the organization with the procurement of third-party tools and services. This role requires a breadth of experience and both strategic and operational skills, along with proven people-management capability. A successful candidate will enjoy building and developing a team while using their skillset to streamline operations, enhance processes, and continuously support and educate others to develop a world-class procurement program. Responsibilities Manage and develop a team of two, coaching them through skill-building, career growth, and day-to-day performance while fostering a culture of shared ownership and high s

awsrestai
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