Analytics Systems Director Jobs

About the Team Consumer Monetization builds the experiences and systems that power how customers purchase and pay for OpenAI products. Our scope spans purchasing flows, payments, subscriptions, and billing, along with the shared capabilities that support new products, offers, and distribution channels. We own both customer-facing experiences and the underlying platforms that power them. We partner closely with Product, Design, Growth, Data Science, and engineering teams across OpenAI to make purchasing effective and reliable, and new offerings easier to launch and monetize. About the Role We’re looking for experienced Staff+ full-stack engineers to shape purchasing experiences and monetization capabilities across OpenAI products. You’ll work across web experiences, product APIs, and shared components, combining strong product judgment with technical depth. The work ranges from improving checkout conversion and performance to enabling new pricing models, offers, and ways for customers to purchase our products. You’ll help identify opportunities, turn ambiguous goals into concrete technical plans, and lead initiatives from exploration through launch. As patterns emerge across products, you’ll develop reusable capabilities that make future launches faster and more consistent. This is a hands-on technical leadership role with substantial ownership over architecture, implementation, and product outcomes. This role is based in San Francisco, with three days per week in the office. In this role, you will: Architect and build purchasing experiences end to end, from frontend interactions through the product APIs and backend integrations that support them. Improve checkout conversion, performance, and reliability through experimentation, product analytics, and customer insights. Develop shared checkout components and monetization capabilities that support new products, pricing models, offers, and distribution channels. Partner with Product, Design, Growth, and Data Science to

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: At Lingo, we’re building a groundbreaking health platform that combines continuous biosensor data, real-time analytics, and personalized insights to help people live fuller, longer, and healthier lives. Our systems ingest millions of sensor readings daily, powering experiences for consumers and partners worldwide, with the reliability and scalability of cloud-native, enterprise-grade platforms. At Abbott, you can do work that matters, grow, and learn, care for yourself and 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 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 around the world 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 wor

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks Consolidate and validate loading, capacity, headcount, budget, cost and qualification readiness data from multiple sites and systems. Analyze utilization and identify bottlenecks, data gaps, trends, plan-versus-actual variances, and execution risks. Maintain and continuously improve planning dashboards, systems, reports, analytical models, assumptions, and readiness trackers. Independently lead global stakeholder meetings and drive alignment toward shared goals. Investigate and resolve non-routine issues, assess business impact and risks, recommend practical actions, and follow through to closure. Build repeatable, reliable workflows using AI or automation tools such as Power BI, Tableau, Power Automate, Python, SQL, VBA, Copilot, Claude, or other LLMs. Document standard workflows, share best practices, and mentor team members on established planning tools and methods. Qualification: Bachelor’s degree in Engineering, Industrial Engineering, Information Systems, Operations Management, Data Analytics, or a related field, or equivalent practical experience. At least 2 years of relevant experience in semiconductor or quality operations, with hands-on experience in capacity planning, report automation, data analytics, or process improvement. Proficiency in two or more relevant tools, such as Power BI, Tableau, Power Automate, UiPath, Python, SQL, VBA, Copilot, Claude, or other LLMs. <l

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 . We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use. What you'll do: Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems. Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready. Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets. Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-act

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world’s largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc’s Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: This is a fully on-site role based at our New York City headquarters. Employees are expected to work from the NYC office five days per week. We expect East Coast working hours. As Our IT Delivery Engineer, You Will: Design, implement, and maintain the systems and platforms that support the company’s internal IT environment Administer and troubleshoot SaaS platforms and endpoint management systems including Kandji, Google Workspace, Okta, Slack, Zoom, and other core business tools Manage and improve device management and endpoint configuration across the global fleet using MDM platforms Partner with Security and Infrastructure teams to ensure systems meet company security and compliance standards Lead and contribute to IT infrastructure and service delivery improvement projects that increase system reliability and operational efficiency Evaluate and implement new technologies that enhance IT service delivery, system management, and automation Develop automation and tooling to streamline provisioning, configuration management, and operational workfl

JOB SUMMARY B-Stock is hiring a Senior Manager of Revenue Operations to lead the team and systems that keep go-to-market running across sales, account management, and marketing — spanning sales and marketing analytics, operations, systems, and process. This is a people-manager role accountable for the accuracy, integration, and performance of the processes and platforms that power revenue, from pipeline and forecasting to the GTM tech stack itself. This role also applies AI as a core lever for how revenue operations runs — from automating manual GTM workflows to introducing new AI-enabled capabilities across the stack. ESSENTIAL JOB DUTIES AND RESPONSIBILITIES Team Leadership Manage and develop 3 direct reports across sales analytics/operations, sales GTM systems, and marketing operations Set shared priorities and standards across the team's owned platforms Remove roadblocks and maintain a consistent operating rhythm across the team Actively evaluate and introduce new AI capabilities to the team, raising the standard for how direct reports and the broader function apply AI day to day Revenue & GMV Forecasting Own GMV and revenue forecasting, pipeline management, and capacity planning across new logo sales and account management Partner with sales and marketing leadership to identify and drive strategies for new logo acquisition and growth within existing accounts (expansion, upsell) Design and maintain commission plans for all revenue functions (BDR, AE, AM) Oversee customer-facing contract processes, ensuring accuracy and compliance GTM Systems & Data Ensure the GTM systems ecosystem — owned day-to-day by your team — is integrated, accurate, and free of technical blockers Serve as primary liaison with Product, Engineering, and Data teams on GTM data needs Build robust reporting that generates insights and drives action to improve revenue performance across the funnel AI & Process Automation Identify and implement AI-enabled automation and agentic

The Best Players Need the Best People. This position is responsible for facilitating the day-to-day operations and evolution of the PGA TOUR’s CRM & integrated technology platforms. In this role, you will collaborate with business units across the TOUR to help them achieve their strategic objectives by customizing our technology platforms to fit business needs, and training end users on best practices. QUALIFICATIONS Bachelor’s degree or equivalent experience in computer science, information systems, business analytics, or related discipline. 5&#43; years of experience with CRM administration for enterprise customers (applicants with Salesforce certifications are preferred). Strong understanding of CRM business processes and principles including back-end architecture, app integrations, data pipelines, and security policies. Experience with using data visualization tools (Tableau, AWS QuickSight) and SQL to analyze large datasets is a plus. Self-motivated with a high degree of initiative and attention to detail, along with strong analytical, problem-solving, and critical thinking capabilities. Strong interpersonal skills with the ability to work and communicate effectively with non-technical

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview We are seeking a Data Analyst to support the data systems and reporting that power our autonomous fleet operations. You'll transform vehicle telemetry, service logs, and operations data into clear insights that improve decision-making across operations, safety, and engineering teams. This role focuses on analytics, reporting, KPI development, and building accessible datasets and dashboards that help teams understand performance and drive improvements. Responsibilities Analyze vehicle telemetry, service logs, dispatch data, and operational metrics to identify trends and actionable insights Build and maintain dashboards and recurring reports for fleet operations, safety, and engineering stakeholders Define, track, and report on KPIs related to fleet performance, mission success, readiness, and operational efficiency Ensure datasets used for analysis are accurate, well-structured, and re

About the Role: We are looking for proactive and data-driven Talent Acquisition professionals with 4+ years of experience to manage end-to-end recruitment while bringing analytics and strategic insights to our hiring processes. This role balances hands-on recruitment with strategic thinking, helping WIN attract top talent efficiently and effectively. Key Responsibilities: Manage the full recruitment lifecycle across functions, including sourcing, screening, interviewing, and onboarding. Partner with hiring managers to understand talent needs and recommend effective hiring strategies. Develop creative sourcing strategies to attract both active and passive candidates. Post and manage job openings on platforms like LinkedIn and Naukri, ensuring timely and accurate updates. Maintain and manage recruitment workflows in Greenhouse ATS, ensuring accurate candidate tracking and reporting. Track and report recruitment metrics, including time-to-hire, cost-per-hire, source effectiveness, and candidate pipeline health. Analyze recruitment data to identify bottlenecks, trends, and opportunities for process improvement. Support workforce planning with insights on talent availability and market trends. Ensure a seamless and positive candidate experience throughout the hiring process. Required Qualifications: 4+ years of experience in end-to-end recruitment. Hands-on experience with ATS/HRIS systems and recruitment analytics. Strong organizational skills, attention to detail, and ability to manage multiple priorities. Excellent communication and stakeholder management skills. Experience using data and metrics to inform recruitment decisions and improve processes. Familiarity with interview design, assessment frameworks, and structured hiring processes. What We Offer: Collaborative and inclusive work environment. Opportunity to work closely with US leadership and contribute to strategic talent decisions. Focus on learning, growth, and ownership. 100% remote wor

About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, messy marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. This is not a generic ML role with some experimentation work on the side. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems. You will join a small, senior pod of causal ML and econometrics experts working across ML, Analytics, Product, and Engineering. The mandate is to build the causal spine for a large-scale consumer marketplace. You're excited about this opportunity because you will… Design, build, and productionize causal ML systems that influence real marketplace decisions across New Verticals. Build uplift / heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation. Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions. Build systems that connect experimentation, observational data, and ML decisioning so teams can make better tradeoffs when randomized experiments are slow, noisy, or incomplete. Design surrogate metrics and early indicators that help teams move faster while preserving long-term marketplace health. Partner with econometrics and analytics leaders to choose the right methods: doubly robust estimation, IV, diff-in-diff, synthetic controls, double ML, CUPED-style variance re

About the Team DoorDash is building the next generation of causal decisioning systems for New Verticals: grocery, convenience, retail, alcohol, pets, flowers, and other emerging categories. These businesses operate in high-dimensional, messy marketplaces where every consumer, merchant, item, promotion, substitution, search result, and delivery promise creates a causal question. About the Role We are hiring a Causal Machine Learning Engineer to help build the causal ML foundation behind how DoorDash grows New Verticals. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems. You will join a small, senior pod of causal ML and econometrics experts working across ML, Analytics, Product, and Engineering. The mandate is to build the causal spine for a large-scale consumer marketplace. You're excited about this opportunity because you will… Design, build, and productionize causal ML systems that influence real marketplace decisions across New Verticals. Build uplift / heterogeneous treatment effect models for consumer lifecycle value, promotions, retention, and reactivation. Develop counterfactual evaluation frameworks for ranking, recommendations, search, promotions, substitutions, and marketplace interventions. Build systems that connect experimentation, observational data, and ML decisioning so teams can make better tradeoffs when randomized experiments are slow, noisy, or incomplete. Design surrogate metrics and early indicators that help teams move faster while preserving long-term marketplace health. Partner with econometrics and analytics leaders to choose the right methods: doubly robust estimation, IV, diff-in-diff, synthetic controls, double ML, CUPED-style variance reduction, contextual bandits, off-policy evaluation, and related approaches

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 Team The Revenue Strategy & Operations team at Mixpanel partners with Regional and Global Business Leaders to set and execute revenue strategy across the customer lifecycle. We build the strategy, operational processes, reporting infrastructure, and decision-making frameworks that make our GTM teams successful. About the Role As Senior Customer Strategy & Operations Manager, you’ll be the strategic advisor and operating partner to our VP of Global Customer Success. You’ll own how we understand, retain, and grow our customer base - diagnosing what drives upsell, what predicts churn, and what we need to build to scale the post-sales motion. This isn’t a role where you inherit a clean process and tune it at the margins. You’ll get your hands dirty in customer-level data, design the systems that turn signals into action, and build AI-powered tooling. You’ll work directly with CS leadership day-to-day and feed field-level insight back into the broader Revenue Strategy team and GTM leadership. You bring the structured thinking of a consultant and the bias for action of an operator. You’re equally comfortable in a strategy session with the VP and three layers deep in a SQL query. Responsibilities Customer analysis at the account level. Get hands-on with the data to understand what drives expansion, what predicts churn, and where the highest-leverage interventions live. You’ll connect product usage signals, customer health, and commercial outcomes and translate the findings into decisions the CS org acts on. Forecasting and pipeline rigor for the post-sales motion. Build and evolve how we

About Us YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions. We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture - recognized by Inc. as a Best Workplace for three consecutive years - emphasizes transparency, ownership, and continuous mastery. What It's Like to Work Here: Ownership is real, not aspirational. An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work." Growth is driven by impact , not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here. AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done - using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here. About the Role: YipitData's Central Data team sits at the foundation of everything we deliver. We build the standardized data products, methodologies, and systems that power every downstream business — from our investment research and corporate products to our data feeds. Historically, many teams solved similar data problems independently. Central Data exists to identify those common patterns and build shared solutions that improve quality, consistency, and speed across the company. As a Central Data Lead, you'll own one of these foundational data domains end-to-end. This is a highly analytical product ownership role that combines deep data expertise, systems thinking, technical leadership, and cross-functional execution. Rather than solving one-off a

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 . We're hiring an Analytics Engineer to join the Compliance Technology team within the Platform organization. This team builds and operates data and detection capabilities that enable Coinbase to meet global BSA/AML and related regulatory obligations at scale, partnering with Compliance, Product, and Engineering to ensure monitoring and investigative controls are effective, measurable, and auditable. You'll build and own end-to-end data pipelines that power compliance detection and decisioning, improving signal quality, defining control performance measurement, and creating scalable tooling that makes compliance data easier to trust and use. What you'll do: Build and maintain curated datasets and data models (e.g., case, alert, entity, transaction, and risk features) that power compliance controls across Transaction Monitoring, EDD/KYC, and Screening systems. Own data quality for compliance datasets by implementing validation checks, monitoring, lineage tracking, and documentation to ensure outputs are accurate, complete, and audit-ready. Partner with cross-functional engineering teams and Compliance stakeholders to close upstream data gaps, standardize instrumentation, and translate control requirements into scalable data structures and feature sets. Drive detection signal quality improvements by analyzing detection outputs, identifying opportunities to reduce non-act

About the Team The Privacy Engineering team builds the systems and technical foundations that govern how user data is understood, retained, accessed, and used across OpenAI. We partner with Product, Data, Infrastructure, Security, and Legal to translate policy and trust commitments into durable architecture and enforceable controls. Our work spans data inventory and mapping, classification and lineage, retention and deletion, access governance, purpose and usage controls, auditability, and lifecycle automation. We aim to make policy-aligned data handling the default while giving teams clear, reliable primitives for building and operating products at scale. About the Role We are looking for an experienced Software Engineer to drive the architecture and execution of user data governance across OpenAI. You will define technical direction, build shared platforms and controls, and lead cross-functional programs that make data flows discoverable, policies enforceable, and ownership explicit. This role is well suited to a senior engineer who can move between deep systems design and organization-wide influence, turn ambiguous requirements into pragmatic roadmaps, and operate high-trust systems end to end. This position is based in San Francisco. Relocation assistance is available. In this role, you will: Set the technical strategy and architecture for user data governance across data mapping, classification, lineage, retention, deletion, access, and permitted usage. Design and build shared services, APIs, metadata systems, and policy-enforcement mechanisms that make governance controls consistent, scalable, and auditable. Establish reliable inventories of user data, system ownership, data flows, and policy applicability across products, infrastructure, analytics, and research systems. Partner with Product, Data, Infrastructure, Security, and Legal leaders to define decision rights, translate requirements into controls, and drive adoption across teams. Own governance systems