Staff Data Analyst at Stripe | United States

Join Stripe as a Staff Data Analyst and leverage your analytical skills to help drive data-informed decisions across the organization. You'll collaborate with various teams to analyze complex datasets, providing insights that contribute to the improvement of our products and services.

Role Overview Grow Therapy is seeking a Staff Data Analyst in San Francisco. This role centers on turning complex data into clear, practical insights that support the company’s mission. Collaboration with cross-functional teams is a key part of the work, as is translating trends into recommendations that help shape decisions. What You Will Do Collect and interpret large, complex datasets from multiple sources Analyze trends to uncover opportunities and risks Create detailed reports that summarize findings for a range of stakeholders Present data-driven recommendations to teams and leadership Who We’re Looking For This position is a fit for someone who enjoys working with data and wants their work to have a real impact. Curiosity, clear communication, and a strong analytical mindset are important here.

About GustoAt Gusto, we are dedicated to empowering the small business economy. We take care of essential services such as payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on their passion and serving their customers. With teams based in Denver, San Francisco, and New York, we proudly support over 400,000 small businesses nationwide, and we are committed to building a workplace that reflects and celebrates the diversity of our customers. Discover more about our Total Rewards philosophy. About the Role:We are seeking a highly skilled and motivated Staff Data Scientist with a minimum of 7 years of experience in a business environment. In this pivotal role, you will utilize experimentation, statistical inference, and causal analysis to drive strategic decision-making that enhances our organization's success. The ideal candidate is a trusted data storyteller with strong statistical and programming skills, passionate about using these abilities to support small businesses in thriving.About the Team:In this position, you will collaborate closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in your domain's data, define and track metrics that provide insights into our business performance, and delve into our Payroll, Benefits, and HR data to deliver valuable insights and answer critical questions. You will also implement AI-assisted methodologies to accelerate analysis, enhance rigor, and broaden the impact of insights throughout Gusto. We have multiple senior roles open, each focusing on a different segment of our business.Here’s what you’ll do day-to-day:Lead: Tackle ambiguous challenges, design analytical frameworks, and introduce scalable structures across multiple product domains.Strategic Partnership: Work alongside product managers, engineering leads, designers, and operations teams to proactively identify opportunities, align on strategies, and steer data-informed decision-making.Analytical Rigor: Employ advanced statistical methods, causal inference, experimentation, and AI-assisted analytics to identify product performance drivers, distinguishing signal from noise.Experimentation & Analysis: Conduct rigorous experimentation to validate hypotheses and inform product iterations.

About UsAt Imprint, we're on a mission to revolutionize co-branded credit cards and financial products, creating smarter, more rewarding experiences that prioritize brand identity. We collaborate with industry leaders like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to design innovative credit programs that enhance customer loyalty, unlock savings, and stimulate growth. Our cutting-edge platform seamlessly integrates advanced payment solutions, intelligent underwriting, and user-friendly design, enabling brands to offer powerful financial products without the need to become a bank.Co-branded credit cards represent over $300 billion in annual expenditure in the U.S., yet many are still rooted in outdated banking systems. Imprint stands as the modern alternative: adaptable, technology-driven, and designed for today’s savvy consumers. Supported by prominent investors such as Kleiner Perkins, Thrive Capital, and Khosla Ventures, we are assembling a world-class team to reshape payment methods and drive brand growth. If you're eager to work in a fast-paced environment, tackle challenging problems, and make a significant impact, we want to hear from you!Discover more about our innovations on Imprint's Technology blog.Our TeamThe Data Engineering team at Imprint is pivotal in constructing and scaling our data infrastructure, which underpins product development, analytics, operations, and machine learning throughout the organization. We manage the pipelines, platforms, and processes that empower our stakeholders to trust and utilize our data effectively.Your RoleAs a Senior Data Engineer, you will be responsible for designing and implementing our data platform, addressing our most challenging technical issues. You will lay the groundwork for Imprint's upcoming decade of growth by scaling our infrastructure for rapid expansion, providing insights that inform multi-million dollar decisions, facilitating secure partner data sharing, and transforming how our teams leverage data. Join us in building a platform that not only meets today's demands but also anticipates future opportunities.Key ResponsibilitiesInfrastructure Development & ScalingDesign and optimize our next-generation data platform, leveraging tools such as Snowflake, dbt Cloud, and real-time CDC pipelines for enterprise-level scalability.Create secure and compliant partner data delivery systems utilizing Snowflake shares, S3/SFTP integrations, and Marketplace listings.Develop critical financial reporting pipelines ensuring exceptional accuracy and reliability.Pursue Technical ExcellenceImplement best practices in data engineering, ensuring robust data governance and security.Collaborate with cross-functional teams to enhance data accessibility and usability.

Join Laurel as a Staff Data Engineer, where you will play a pivotal role in designing and implementing scalable data solutions. You will collaborate with cross-functional teams to optimize data architecture and enhance data analytics capabilities.

Join our dynamic team at 360IT Professionals as a Business Data Analyst. In this pivotal role, you will analyze complex data sets and provide actionable insights to drive business decisions. You will collaborate closely with cross-functional teams to enhance operational efficiency and support strategic initiatives.

Discord Inc. seeks a Recruiting Data Analyst to support its talent acquisition team in the San Francisco Bay Area. This position centers on applying data analytics to guide hiring decisions and enhance recruitment strategies. What you will do Analyze recruiting data to identify patterns and trends Monitor key metrics related to hiring and candidate experience Develop recommendations to improve recruitment processes Role focus This role works closely with the recruiting team to provide insights that shape Discord’s talent strategy. By tracking and interpreting data, the analyst helps refine the candidate experience and supports more informed hiring decisions.

Data Partnerships AnalystLocation: San Francisco Bay AreaType: Full-TimeCompensation: Competitive salary + early-stage equityAt Fabrion, supported by 8VC, we are assembling a stellar team dedicated to addressing one of the industry's most pressing infrastructure challenges.As we develop an AI-native platform, we focus on transforming industrial data into actionable insights through semantic enrichment, intelligent agents, and governed interoperability. Central to our architecture is our Data Fabric — an intelligent, governed layer that integrates fragmented and siloed data streams into knowledge graphs for high-context decision-making and agentic execution.The Data Partnerships Analyst will be pivotal in executing this strategy, researching, assessing, and nurturing partnerships with top-tier data providers (including trade, compliance, entity mapping, financial, ESG, geopolitical, and more). You will be instrumental in mapping data ecosystems, structuring partnerships, and ensuring that Fabrion's platform is enriched with comprehensive, high-quality, and strategically differentiated data.This opportunity is perfect for individuals with sharp analytical skills, a passion for data-driven business, and a keen interest in the intersection of AI and partnerships to innovate global value chains.

Why join usAt Brex, we are redefining the way businesses manage their finances through our AI-powered spend platform. Our integrated corporate cards, banking services, and global payment solutions empower companies to spend confidently. Serving tens of thousands of businesses from startups to large enterprises, including notable names like DoorDash, Flexport, and Compass, we help organizations proactively control their spending, cut costs, and enhance efficiency on a global scale.Joining Brex means embracing challenges, pushing boundaries, and collaborating with some of the most innovative minds in the industry. We are dedicated to fostering a diverse and inclusive team culture, where your potential is only limited by your aspirations. We provide the tools, resources, and support necessary for you to advance your career.Data at BrexThe Data organization at Brex is responsible for generating insights and building the data infrastructure that supports various teams, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work collaboratively to ensure that data and the insights derived from it are a crucial asset for our company.What you’ll doAs a Senior Data Analyst (DA III), you will take ownership of the complete analytics lifecycle for designated business areas at Brex. You will go beyond merely creating dashboards; your role will involve framing the right questions, designing comprehensive analyses, utilizing statistical methods, and presenting your findings as actionable recommendations to leadership. Additionally, you will play a pivotal role as a technical leader within the Data Analytics team, mentoring junior analysts and establishing standards and best practices to enhance the quality of our work.This position integrates analytics, analytics engineering, and business strategy. You will work within a modern data stack environment and collaborate closely with Data Scientists, Data Engineers, and senior organizational leaders.Where you’ll workThis position is based in our San Francisco office. We embrace a hybrid working model that combines the vibrant energy of in-office collaboration with the flexibility of remote work. Currently, we require a minimum of three coordinated in-office days each week (Monday, Wednesday, and Thursday), along with the benefit of up to four weeks of fully remote work each year!ResponsibilitiesOversee the analytics lifecycle for your assigned business areas, from problem identification and data sourcing to analysis, insight generation, and stakeholder presentations.

Role overview haus is seeking a Senior Data Analyst based in New York, San Francisco, or Seattle. This position focuses on using data analysis to guide business strategies and decisions. Collaboration is central, with the analyst partnering across teams to transform complex data into clear, practical recommendations. What you will do Examine data to identify trends that impact the direction of the business Pinpoint opportunities to improve processes using data-driven insights Deliver timely analysis to support decisions across several departments Collaborate with cross-functional teams to make data accessible and useful Locations New York, NY San Francisco, CA Seattle, WA

About GridwareGridware is an innovative technology firm located in San Francisco, committed to safeguarding and optimizing the electrical grid. We have introduced a revolutionary approach to grid management known as active grid response (AGR), which emphasizes the monitoring of electrical, physical, and environmental factors impacting grid reliability and safety. Our cutting-edge Active Grid Response platform utilizes high-precision sensors to identify potential issues early on, facilitating proactive maintenance and fault resolution. This holistic methodology enhances safety, minimizes outages, and ensures the grid functions efficiently. Our company is supported by prominent climate-tech and Silicon Valley investors. For further details, visit www.Gridware.io.Role OverviewIn the role of Staff Data Engineer / Data Architect at Gridware, you will be instrumental in defining and constructing the architecture of our pivotal data systems. This encompasses real-time streaming pipelines, Lakehouse governance, telemetry ingestion, and cross-domain data modeling. This position is at the pinnacle of the technical individual contributor track and necessitates extensive expertise in distributed data systems, IoT telemetry flows, and architectural strategies.You will collaborate closely with teams across Firmware, Software, DevOps, and Data Science to shape Gridware’s long-term vision for its data platform. Your contributions will directly influence how sensor and grid event data are processed within our system, enabling fault detection, wildfire risk mitigation, and real-time grid intelligence at scale.

The Baseball Data Platform team at Major League Baseball is seeking a Senior Data Analyst to help us tell the story of baseball through data. In this role, you will utilize play-by-play and Statcast tracking data to support our customers, enhance data quality, and generate actionable insights. You will collaborate with top-tier software engineers, data scientists, and industry experts while working with one of the most comprehensive datasets in sports.Key ResponsibilitiesProactively identify and investigate potential data quality issues.Lead significant data initiatives aimed at achieving strategic research and development objectives, including enhancing scalability for data alerts and outlier resolution.Implement impactful changes based on internal operations data and logging in collaboration with our support team.Develop a deep understanding of the Baseball Data Platform, including schema, data lineage, and optimal usage patterns of critical tables (such as pitch-by-pitch data, tracking data, and weather data).Address inquiries from MLB clubs, broadcasters, and MLB leadership directly.Establish and uphold high standards for data documentation, code review, and statistical best practices within the R&D data team.Create optimized queries and statistical reports/models to detect trends and present findings to MLB and Club personnel.Design and produce insightful reports.Collaborate with Statcast engineering, product, data science, and content teams to innovate storytelling metrics.Manage user accounts, permissions, and security protocols across key systems, ensuring compliance with data security standards.Test and validate new data and metrics, contributing to their development.Serve as the primary resource for complex data challenges, assisting teammates with debugging inefficient queries and understanding nuanced data definitions.

Major League Baseball seeks a Senior Data Analyst for its Baseball Data Platform team in San Francisco. This team blends baseball expertise with technology, working closely with play-by-play and Statcast tracking data. The group supports MLB clubs, broadcasters, and internal partners by ensuring data quality and delivering actionable insights. Role overview This position focuses on maintaining high standards for data quality, collaborating with engineers, data scientists, and industry experts. The Senior Data Analyst will address data issues, lead significant projects, and act as a key resource for both technical and non-technical stakeholders. Key responsibilities Identify and investigate data quality issues, both proactively and in response to reports. Lead major data projects to advance research and development, such as improving alerting systems and resolving outliers. Collaborate with the support team to implement process changes based on internal operations data. Develop deep expertise in the Baseball Data Platform, including schema, data lineage, and best practices for key tables like pitch-by-pitch, tracking, and weather data. Handle inquiries from MLB clubs, broadcasters, and leadership, providing direct support and solutions. Maintain high standards for data documentation, code review, and statistical practices within the R&D data team. Write optimized queries and statistical reports or models to uncover trends and share findings with MLB and Club staff. Produce clear, insightful reports and work closely with Statcast engineering, product, data science, and content teams to develop new storytelling metrics. Manage user accounts, permissions, and security protocols across core systems to ensure compliance with data security requirements. Test and validate new data sets and metrics, supporting their ongoing development. Serve as a resource for complex data questions, including query debugging, identifying obscure data points, and clarifying nuanced data definitions for teammates. Collaboration and impact This role involves frequent interaction with engineers, product managers, data scientists, and content teams. The Senior Data Analyst helps shape the way baseball data is used across the league, contributing to both operational improvements and new forms of baseball storytelling.

As a Lead Data Analyst at Collective Health, you will play a pivotal role in driving data-driven decision-making across the organization. Your expertise will influence strategic initiatives and enhance our offerings, ensuring that we deliver exceptional healthcare solutions. You will lead a team of analysts, collaborate with cross-functional teams, and utilize advanced analytical tools to derive actionable insights from complex datasets.

About PAX PAX is a pioneering global cannabis brand dedicated to improving lives through premium products and unique experiences. For over a decade, we have crafted products that are simple, enjoyable, and trusted by millions. Our recognition spans prestigious outlets including The New York Times’ Wirecutter, TIME, Fast Company, GQ, Gear Patrol, mg Magazine, and High Times among others. Our initiative, PEACE BY PAX, reflects our commitment to enacting positive change through social reform, safe access, and sustainability. We are passionate about the growth of the cannabis industry and the transformative potential it holds. Our culture prioritizes people, collaboration, and fun, allowing us to impact lives positively. Our exceptional team has driven innovation in consumer experience and well-being, collaborating with brands like Apple, Google, Uber, and others. PAX has successfully secured over $430 million in capital from top-tier investors and offers products across more than 40 countries worldwide. Position Overview We are on the lookout for a skilled IT Business & Data Analyst to join our dynamic team. This role serves as a crucial link between business processes, data management, and business intelligence. You will become proficient in our core business systems, tailoring them to meet our needs, testing updates, and rolling out new features. Additionally, you will play a vital role in our data and business intelligence framework, which includes generating reports and facilitating data transfers across systems and databases.

At Fastly, we empower individuals to stay connected with the digital experiences they cherish. Our cutting-edge edge cloud platform allows clients to swiftly, securely, and reliably create exceptional digital experiences by processing, serving, and safeguarding their applications as close to end-users as possible — right at the edge of the Internet. We have designed our platform to leverage the modern internet, ensuring it is programmable and supports agile software development. Among our esteemed clientele are some of the world’s leading companies, including GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: 04/24/2026Anticipated Posting Close Date: 6/24/2026Associate Business Data AnalystRole OverviewAs an Associate Business Data Analyst within our Client Services team, you will serve as a pivotal strategic data partner for Fastly’s global Business Analytics group. In this role, you will not only create reports but also take ownership of data architecture, visualization, and in-depth analysis that drives our Client Services (CS) organization’s success.This position offers a high level of autonomy and is tailored for an analyst who excels in tackling complex data challenges across various global time zones. You will cater to the critical reporting needs of our Account Managers, Support, and Professional Services teams, while also acting as a consultant to translate intricate ideas into actionable business insights. We seek a resourceful problem-solver who is committed to data integrity and proactively identifies opportunities for enhancing our service delivery.What You’ll DoStrategic Performance Insights: Take charge of the tracking, reporting, and analysis of Client Services activities. You will spearhead the development and automation of regular insights that significantly impact customer health and retention.Advanced Data Extraction: Craft, optimize, and execute complex SQL queries. You will manipulate customer and business data from our technology stack to reveal hidden trends.Consultative Collaboration: Serve as a data consultant for cross-functional teams. You will convert non-technical business requirements into tailored technical queries and dashboards.Global Operational Excellence: Collaborate effectively within a global team, ensuring seamless asynchronous interactions and high-quality hand-offs with US-based partners across a 12-hour time difference.Technical Ownership and Continuous Improvement.

Join Grindr as a Staff Data Scientist in a hybrid role based out of our San Francisco, Los Angeles, or Chicago offices, requiring in-office presence on Tuesdays and Thursdays.Why This Role is Unique?Grindr (NYSE: GRND) is the world’s largest LGBTQ+ social application, boasting over 14 million monthly users globally. We are not just a platform but a vital part of the LGBTQ+ community and a cornerstone of gay culture.As a Staff Data Scientist, you will collaborate closely with product managers, designers, and engineers to create insightful metrics that drive product development. You will design and implement innovative experiments, present data-driven insights for decision-making, and explore new growth strategies through comprehensive analysis. This role allows you to work on deployed models that enhance the user experience for millions, while becoming an informal ambassador for the Data Science team, educating others on effective data utilization.You will be part of a dynamic data organization at Grindr that integrates data scientists, data engineers, and ML/AI engineers into a united and collaborative team. This is a unique opportunity to learn, share knowledge, and make a significant impact alongside industry leaders.Your ResponsibilitiesExtract actionable insights from complex, open-ended queries.Design and assess experiments to evaluate the impact of product changes.Analyze product data to identify root causes behind metric fluctuations.Effectively communicate findings to cross-functional stakeholders to inform product strategies.Develop tools to scale and automate analyses, enhancing company productivity.Mentor and guide team members, recommending best practices.Apply an engineering mindset to reduce complexity while maximizing utility and maintainability.Contribute to the development of future ML solutions to enhance recommendations, detect spam, and better serve our users.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. We’re revolutionizing personal finance by empowering our members with innovative, mobile-first technology to achieve their goals. As a next-generation financial services company and national bank, we're leading an unprecedented transformation in the industry, making a direct impact on lives every day. Join us to invest in yourself, your career, and the financial world.Role Overview:The Borrow Data Science team is in search of a Senior Staff Data Scientist to propel growth in our Home Loans division, enhancing SoFi's data execution capabilities. This pivotal role invites you to apply your analytical expertise to develop robust reporting, pinpoint growth opportunities, and construct machine learning models using tools such as Snowflake, Airflow, dbt, and Sagemaker.As a Senior Staff Data Scientist, you will lead data initiatives, balancing urgent needs with high-quality project delivery to key stakeholders through a clear, data-informed methodology. You will take on a technical leadership role, helping to develop reliable, efficient, and scalable data infrastructures, fostering a culture of technical ownership, and documenting your approaches to disseminate strategies throughout the organization. You will conduct analytical deep-dives to proactively identify impactful opportunities that will inform future experimentation designs and product roadmaps.In this position, you’ll leverage your proficiency in data analysis, statistical modeling, and machine learning to reveal insights that will directly shape product strategy and drive revenue growth. This role requires a solid technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and superior collaboration skills.

Join us in building the data infrastructure that empowers robots to operate seamlessly in the real world.The field of robotics is rapidly transitioning from research to real-world applications across factories, warehouses, vehicles, and outdoor environments. When robots encounter failures, exhibit unexpected behaviors, or require enhancements, engineers depend on data to uncover the underlying issues.At Foxglove, we are at the forefront of developing observability, visualization, and data infrastructure that enables this critical analysis. Our innovative tools are utilized by robotics and autonomous systems teams to effectively ingest, store, query, replay, and analyze vast amounts of multimodal sensor data from active systems and production fleets.Recognizing that data is crucial for physical AI, we seek to enhance our Data Platform, transforming it from a passive data lake into a dynamic engine for dataset creation, discovery, and automated evaluation.In this pivotal role, you will steer Foxglove's largest investment area for 2026, taking charge of evolving the Data Platform into a standalone, high-velocity product line. Your focus will extend beyond mere storage, aiming to establish sophisticated workflows that encompass all phases of research, development, and operations.Key ResponsibilitiesDevelop and own the Data Strategy & Roadmap: Define the platform's evolution to capitalize on opportunities in data management, discovery, curation, and evaluation.Drive Technical Innovation: Collaborate with our Search and Curation engineering teams to create advanced data layers tailored to the intricate demands of real-world operations.Enhance Product-Market Fit: Shift the product from being merely a visualization tool to a core value proposition for Foxglove. Lead design partnerships with key customers to develop and validate new functionalities before they are widely released.Commercialize Consumption: Partner with GTM to refine and execute a product-led growth strategy that aligns with customer value creation and integrates into Enterprise sales.Establish Seamless Integration: Ensure a smooth connection between the Data Platform and our Visualization and Fleet products, generating a

Role OverviewThunkable is on the lookout for a Senior Data Analyst to enhance our Data & Analytics team. This pivotal role will involve not just analyzing data to derive valuable insights, but also integrating and organizing data from diverse sources—including product analytics, marketing platforms, payment systems, and user databases—to create a comprehensive and trustworthy overview. We are committed to finding actionable solutions that empower us to accelerate our processes and enhance decision-making throughout the organization. You will collaborate closely with cross-functional teams to interpret data, establish factual clarity, and deepen our understanding of the market dynamics, business operations, customer behaviors, and product performance.Key Responsibilities - Work in partnership with engineers to implement, verify, and sustain event tracking in React-based interfaces. - Enhance data reliability by diagnosing and resolving tracking issues that compromise data integrity. - Collaborate with cross-functional teams to gather and refine business requirements into scalable data architecture and process enhancements, facilitating integration, automation, and smooth data flow (e.g., Google Ads, Meta ads, payment systems, Amplitude, etc.). - Document data architecture, critical components, and data flows to ensure clarity and understanding. - Work alongside teams to query and analyze data from Amplitude and other SQL/NoSQL systems within our existing data ecosystem. - Conduct product and marketing analyses, such as funnel analysis, cohort studies, and user segmentation, to reveal actionable insights.