Analytics Lead Jobs

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 leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. Long-Term Stay & Luxe is being built with 0-to-1 intensity inside a marketplace that already moves at massive scale, and this team needs people who can operate like founders while still respecting the rigor of a mature, two-sided marketplace. The Difference You Will Make: Airbnb is seeking a Staff, Advanced Analytics to be the analytics owner and strategic partner for Long-Term Stay & Luxe — setting the agenda for what gets measured and tested, building the quantitative models that underpin how the business grows, and operating as a peer to product and business leadership. A Typical Day: Own the end-to-end analytics strategy and roadmap for Long-Term Stay & Luxe — decide what to measure, what to test, and where the biggest leverage is. Prioritization decisions should exist because of your recommendations. Build and evolve the quantitative models that run the business: supply-demand balance, marketplace liquidity, pricing and take-rate models, and LTV/forecasting — going beyond dashboards to build the underlying data models and pipelines. Design and analyze experiments across pricing, search and ranking, host onboarding, and guest conversion. Develop causal-inference approaches (holdouts, proxy metrics, quasi-experimental methods) for the many cases where a clean randomized trial isn't possible given lower volumes or longer booking cycles. Act as a proactive strategic partner to product, GM, and cross-functional leaders — surface insights and recomme

About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d

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. Since 1841, 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.

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. Since 1841, 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.

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 mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role New York Times Wirecutter team is looking for a Senior Manager, Audience & Product Analytics to power our growth strategy. Your core mandate will be to build an understanding of our audience— who they are, how they engage with content and product features, and what brings them back. You will lead a team of analysts responsible for understanding audience trends, driving product improvement, and optimizing user engagement. You will provide leadership and data-driven insights, working with audience, product, and engineering leads to establish goals, design experiments, and uncover new opportunities. You will report to the Executive Director of Data Analytics and Insights, Wirecutter. This opportunity is flexible to in office or remote work. Responsibilities You will manage a team of three direct reports—promoting a culture of curiosity and excellence while setting clear deliverables, supporting career growth, and ensuring high-quality analytics output You will analyze audience growth, traffic drivers, customer journey touch points, and user engagement trends to inform strategic decision-making. You will partner with functional leads (Product, Design, Engineering, Editorial) to set strategy, define goals, and build the audience and product analytics roadmap. You will lead the design, execution, and post-analysis of product experiments (A/B testing). Provide expertise on primary metrics, trade-offs between competing goal

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. About Modal Data: We’re growing our Data team and are looking for our first few key hires to build self-serve data tools and drive business strategy in the right direction. The mission of the Modal Data team is to make it easy to track company goals, make evidence-backed decisions, and prioritize the right work. We do this via: Self-serve AI analytics tools (Hex, Snowflake) Embedding with teams as a “data adviser”, providing strategic analysis and consulting What You'll Do: Contribute to building the most modern analytics stack in Data today to support AI-driven self-serve analysis, key metrics tracking, and external customer reporting Influence work on new products like LLM Inference Endpoints through product analytics tracking Identify millions of dollars of cost savings and optimization across our tools and financial operations Write data pipelines that power the operatio

Become a part of our caring community The HR Business Partner 2 leads the people management agenda in a business unit/area, and acts as a facilitator for the company's management team. Applies broad experience in various Humana Resources (HR) areas of expertise. The HR Business Partner 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The HR Business Partner 2 acts as a single point of contact for the employees and managers in the business unit/area in the Medicaid RFP Response and Implementation team and their people management agenda. Possesses a deep knowledge of the business unit / area, key employees and business processes. Builds a strong business relationship with the business unit/area and transfers HR requests and solutions to/from the business unit. Implements best practices and supports the delivery of HR processes at the business unit/area. Identifies gaps, proposes and implement changes necessary to cover risks. Acts as the performance improvement driver and provokes positive changes in the people management. Leads the change management projects and manages the HR related internal and external communication. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. This position will focus primarily on the HR related activities tied to a response for RFPs and the subsequent stand up of new business. The position will work across the HR organization to build, run and analyze data in support of RFPs and stand up of new business and ensure the alignment and timing of resources key to the operational stand up of

Become a part of our caring community Humana’s Product organization is seeking a Lead Product Manager to drive the strategy, development, and optimization of the Adobe Experience Platform (AEP) in support of Adobe Web Integrations for Authenticated and Unauthenticated Web Channels. In this role, you will serve as a key product leader responsible for translating business needs into platform capabilities that enable personalized, data-driven customer experiences. You’ll work closely with cross-functional teams to deliver scalable solutions across Real-Time CDP, Journey Optimizer, and Customer Journey Analytics. This role is focused on growing adoption and usage of Adobe Experience Platform as an enterprise platform while supporting and scaling capabilities to support Authenticated (MyH) and Unauthenticated ( H.com) driving dynamic, context-aware customer engagement on Web channels. Success in this role means partnering with key lines of business to translate requirements into detailed product features for engineering teams to enable, while building decisioning strategies that optimize customer outcomes and business value. Key Role Functions Product Strategy & Vision Collaboratively own and manage the product backlo

About the Team The Customer Experience team serves as a foundational operations pillar at DoorDash, dedicated to resolving friction within the last mile. We architect and oversee an expansive global network of support centers — spanning both teammate-assisted and AI-driven support — obsessing over the user journey to ensure every interaction is seamless and reliable. As the analytics team, our mission is to make every support interaction measurably better: we define what a great resolution looks like, quantify where we fall short, and turn that into a roadmap for product, operations, and AI/ML partners. We are looking for a Manager to lead and grow the analytics team behind our core support experience. About the Role As a Manager on the Customer Experience Analytics team, you'll set the analytical vision for how DoorDash measures and improves customer resolutions across our global network of support teammates and their interactions with our customers. You'll lead and grow a team of data scientists working at the intersection of customer experience quality and operational cost — uncovering opportunities to drive perfect interactions and informing improvements to teammate tooling that leverages AI-driven resolutions. You'll establish a clear measurement framework for resolution quality, own insights to drive strategy and roadmap, and align partners across CX, Product, Engineering, Operations, and AI/ML. This is a high-visibility leadership role: success means better outcomes for customers, a more effective support organization, and a team of data scientists who are growing in their craft. You're excited about this opportunity because you will… Lead, grow, and develop a team of data scientists — providing mentorship, feedback, and clear career development pathways. Set the analytical vision for the core support experience, defining what a great customer resolution looks like and building the metrics to measure it. Uncover opportunities to drive perfect interactions, tr

You define how the codebase is built. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving EviSmart is building the unified dashboard platform where every product surface comes together — the interface lab owners use to manage cases, access analytics, and launch AI-powered tools. It doesn’t have a frontend foundation yet. What exists is a clear product direction, a backend that’s ready to connect, and an engineering team that needs someone to draw the lines before anyone starts building. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now Most senior frontend engineers join products with foundations already in place — someone else made the hard calls, and your job is to build within them. This is the opposite. There is no existing dashboard frontend, no technical debt to inherit, and no architectural decisions that constrain you yet. The person who joins now makes the foundational choices that the entire frontend team builds on for the next several years. The first product milestone is aggressive, the customer base is real and global, and the backend is ready. What doesn’t exist yet is the engineer who sets the direction. A Note from the Team “We’re not looking for someone who needs a clear spec before they can move. We need someone who can audit what exists, make a recommendation, and execute on it. If you’ve been the person who sets the technical direction that your team builds on, and you want to do that at a scale that actually matters, this is that conversation.” — Paolo Kalaw, CEO, EviSmart What You’ll Own Own the React JS / TypeScript frontend architecture for a new dashboard platform — the unified interface where all products connect. De

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. We are looking for a hands-on Senior QA Consultant to lead end-to-end testing of AI and Generative AI applications across enterprise environments. This role combines strong expertise in traditional QA engineering with modern AI evaluation and validation practices. The ideal candidate will drive quality assurance initiatives for RAG pipelines, multi-agent systems, OCR and Speech-to-Text solutions while ensuring production grade quality outcomes in regulated industries such as Finance, Healthcare, and Insurance. The successful candidate will lead a small QA pod, collaborate closely with engineering, AI/ML, product, and business teams, and act as the client-facing QA owner for enterprise AI engagements. This role requires strong technical leadership, automation expertise, AI evaluation capabilities, and excellent stakeholder management skills. Experience Requirements • 10–15 years of experie

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

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role The future of analytics isn't dashboards. It's intelligent systems that anticipate questions, surface insights, and help people make better decisions. We're looking for a Senior Analytics Engineer to help build that future at Pearl. In this role, you'll design and develop AI-powered analytics experiences that combine trusted enterprise data with modern AI capabilities, enabling business users to interact with data conversationally and uncover insights faster than ever before. You'll build production AI agents, create scalable semantic data models, develop intelligent analytics applications, and establish best practices for responsible AI across the Analytics organization. Working closely with Product, Engineering, and business leaders, you'll turn emerging AI technologies into real business capabilities that improve decision making across the company. This is an opportunity to help define how AI transforms analytics at Pearl while working on some of the most exciting technologies in data, LLMs, and agentic AI. What You’ll Do Build proactive analytics and AI solutions that surface actionable business insights, anticipate business needs, and enable smarter decision-making. Design and develop AI-powered analytics tools, including conversational interfaces that allow business users to query data using natural language. Build semantic data models and reusab

#Team Nextdoor Nextdoor is where you connect to the neighborhoods that matter to you so you can belong. Our purpose is to cultivate a kinder world where everyone has a neighborhood they can rely on. Neighbors around the world turn to Nextdoor daily to receive trusted information, give and get help, get things done, and build real-world connections with those nearby — neighbors, businesses, and public services. Today, neighbors rely on Nextdoor in more than 350,000 neighborhoods across 11 countries. Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you’ll: Apply mathematical or statistical theory and methods to design, create, and select the appropriate samples of data that will allow the data science team to conduct probabilistic experiments and statistical analyses Design software systems and processes to gather data in the most efficient way and determine key data points needed in order to interpret experiment results and ensure results are properly tracked Interpret data and report conclusions drawn from their analyses Work with cross-functional teams, including product, design, engineering, marketing, operations, and sales, to determine which data analyses will lead to the most actionable insights Build data pipelines to create and transform data for analysis of different product features Clean and summarize data to make it accessible for reporting and for data science Combine data from multiple sources to make and distribute client reports in order to see how particular ad products are performing Analyze expected vs actual delivery of ad products in order to find and improve gaps in our delivery pipeline What You’ll Bring to The House Master’s degree or foreign equivalent in Mathematics, Statistics, Business Analytics, or closely related quantitative field. Three (3) years of years of experience in the role or in a related position. Full term of experience m