Data Analytics Partner Jobs

Role Description At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire. In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions. Responsibilities Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. Create clarity from ambiguity, bringing structure to complex data and stakeholder narratives to identify the underlying question, establish analytical rigor, and drive actionable conclusions. Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions. Answer complex business questions through independent investigation and data forensics,

Role Description At Dropbox, people are our greatest asset. The People Analytics team partners closely with leaders across the company to help them make better, data-informed decisions about how we identify, attract, develop, and retain top talent. As Dropbox continues to scale and evolve its Talent Acquisition strategy, we’re looking for a Data Analyst who is passionate about problem-solving and using data to shape how we hire. In this role, you’ll partner deeply with Talent Acquisition, People Partners, and business leaders to analyze hiring data, uncover trends, and surface insights that influence workforce planning, recruiting strategy, and candidate experience. You’ll work across quantitative and qualitative data to understand what drives successful hiring outcomes, where bottlenecks exist, and how we can improve efficiency, quality, and equity in our hiring processes. You should have a demonstrated ability to think analytically about the business, translate ambiguous questions into structured analyses, and deliver clear, actionable insights. Success in this role requires strong attention to detail, high standards for data quality, and the ability to communicate findings in ways that drive real decisions. Responsibilities Partner on analytics initiatives to understand and improve the effectiveness, efficiency, and quality of hiring across Dropbox. Create clarity from ambiguity, bringing structure to complex data and stakeholder narratives to identify the underlying question, establish analytical rigor, and drive actionable conclusions. Monitor and analyze core Talent Acquisition metrics, proactively identifying trends and uncovering the “what” and “why” behind changes in performance. Build strong relationships with key stakeholders; lead requirements gathering and translate business questions into clear analyses and insights that inform People and business leader decisions. Answer complex business questions through independent investigation and data forensics,

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources. You will work closely with business stakeholders, engineering teams, analytics partners, and platform owners to ensure our data ecosystem remains reliable, scalable, and well-governed. This role combines technical leadership, operational management, and stakeholder engagement, to help support Peloton's growing data and AI needs. This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions Own intake, prioritization, and execution processes for DataOps requests and operational support activities Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker, owning platform governance activities such as user access reviews, compliance reviews, audit support, and operational controls Coordinate incident management, root cause analysis, monitoring, alerting, and operational readiness efforts across the data platform Help shape the long-term operating model for the Data Engineering team as Peloton continues to scale its data and AI initiatives YOU BRING TO PELOTON 5+ years of experience in data engineering, analytics engineering, software engineering, or related technical

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. This is a hybrid (3 days in office) role in Menlo Park or Dublin offices in California Our Data Analytics and AI org (DAA) is expanding our Customer Experience Analytics team and seeking a Senior Analyst to help shape how Snowflake measures and improves the post-sale customer experience. In this role, you'll combine rigorous quantitative analysis with a strong AI toolkit to unlock insights from rich support and services delivery data - driving decisions that span product strategy, operational efficiency, and customer outcomes. Reporting to the Manager of Customer Experience Analytics, you'll partner closely with Support and Services Delivery leadership, own analytical programs end-to-end, and build scalable tools that embed your work directly into stakeholder workflows In This Role You Will Be a Trusted Analytics Partner to CXE Leadership: Work closely with Support and Services Delivery leaders to provide the data and insights that drive operational decisions Deliver Insights That Drive Action: Conduct deep-dive analyses on support case drivers, resolution patterns, customer satisfaction trends, and operational efficiency that CXE leadership can act on immediately. Connect the Dots Across Teams: Partner with Support Engineering, Services Delivery, Operations, and Finance to

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. A brief highlight of our tech stack: SQL / Python / Looker / Snowflake / dbt What you'll do: Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner Build processes supporting data transformation, data structures, metadata, dependency and workload management Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization) Develop and implement data analytics models Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR What you're great at: 4+ years of data engineering experience Working with cloud-based application development, and be fluent in at least a few of: Cloud services providers like AWS Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc Big data tools like Spark, Ka

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Internal System Org is at the core of Stripe to empower mission-critical financial domains including Finance & Strategy (F&S), Accounting, Tax, Treasury, Product Experience, GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. Enable and empower F&S, GTM, Accounting, Product teams to achieve business goals, through dataset development, data analytics support, dashboards, AI, and operation efficiency enhancements. What you’ll do Responsibilities Perform data analysis, identify trends, conduct research, build visualizations, all to deliver objective, critical insights that fulfill team stakeholders’ business needs Work closely with cross-functional teams, including Finance & Strategy, Accounting, Product, Tax, User billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth Be the data strategy partner for our business stakeholders Reconcile complex dataset across complex finance systems Coordinate

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. Snowflake is building the world's best AI data platform — and Interactive Analytics is one of our foundational bets in that vision. We aim to deliver the fastest analytical query engine in the world and make it delightfully easy to use, seamlessly integrated into the Snowflake data platform. Designed for high-concurrency, low-latency query workloads, Interactive Analytics powers the AI agents, BI dashboards, and real-time data applications that the world's most demanding data organizations depend on. As the Product Manager for Interactive Analytics, you will set the bar for what "fast" means for Snowflake and for the data analytics industry — and then you'll build it. This role sits at the intersection of deep database technology and high-stakes product strategy, in a market where the customers are vocal, competition is real, and the opportunity is enormous. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL : Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in one of the most competitive segments of the data analytics industry Partner closely with customers to make them successful — understanding their workloads at a technical level, solving their hardest problems, and turning them into vocal advoc

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Data Analyst on the Finance team, you’ll play a pivotal role in uncovering the insights that shape company-wide planning, forecasting, and strategic decision-making. This high-impact role blends analytical rigor, technical fluency, and business acumen to steer strategy and identify opportunities for scalable growth. The Finance Data team partners with both Finance and other teams across Vanta. You’ll collaborate closely with stakeholders to build trust and deliver data-driven recommendations; your work will influence everything from operating plans and investment decisions to self-serve reporting and process automation. This is a unique opportunity to deepen your analytics expertise in a dynamic, high-growth environment, with visibility into executive-level priorities and the ability to shape them with data. What you’ll do as a Senior Data Analyst at Vanta: Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions. Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more. Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows. Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business. Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights. How to be successful in this role: Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. The Link Data Science team at Stripe is the dedicated data science and analytics partner for Link - currently with a strong product market fit in offering one-click checkout to shoppers who shop across Stripe’s merchant network, trusted by more than 300M users. The Link team has an exciting roadmap to launch consumer-friendly features to make Link the best way to spend, while continuously generating conversion uplift to our merchants. We are hiring for two data scientists dedicated to: Local Payment Methods - We want to enable consumers across the globe to be able to pay using their preferred local payment method like UPI, PIX etc. This allows me

ABOUT THE ROLE Peloton is seeking a Manager, Global Performance Creative Analytics & Experimentation to help shape how creative drives subscriber growth across global performance and consideration channels. Reporting to the Director of Marketing Measurement Strategy, this role sits at the critical intersection of Data Science and Performance Creative, partnering closely with stakeholders across the global Marketing organization. The ideal candidate is a unique hybrid: an analytically rigorous professional who inherently understands creative DNA—someone who knows how to design clean testing frameworks while speaking the fluid language of creative production. Rather than analyzing performance as a static output, this individual will interrogate granular creative metadata (dissecting formats, messaging angles, visual hooks, and narrative structures) to deduce deep historical learnings. Serving as the team's institutional memory for creative performance, you will translate data into context-rich, highly executional insights that actively guide future testing and fuel a continuous creative evolution. Success requires the ability to move beyond passive reporting to actively guide creative test structures, answer why creative assets perform, and influence future global production and media strategy through data-driven insights. YOUR DAILY IMPACT AT PELOTON Lead the development and execution of the yearly global performance creative learning agenda. Yearly agenda should uncover new business and brand opportunities, as well as opportunity analysis on complex topics like creative fatigue and creative composition to suggest net new, structured tests. Consult on messaging and visual hypotheses in Creative Strategy’s quarterly learning agenda based on performance analysis and insights Based on the yearly and quarterly learning agenda, partner with Media Analytics, Media, and Creative Strategy to establish prioritisation, the methodology, execution, and roadmap of globa

Opportunity Overview: Lead analytics and clinical configuration strategy for our auto-decisioning platform, driving end-to-end solutions from data gathering through scaled deployment. Partner cross-functionally to translate business needs into analytical frameworks, independently recommending actions that shape product and business outcomes. Own auto-decisioning strategy for new client implementations with minimal oversight, while ensuring explainable, governance-aligned analytics practices. Build and mentor a high-performing team, embedding best practices for scalable, reusable analytics solutions. Ideal for a strategic thinker who thrives at the intersection of hands-on execution and team leadership in a fast-paced, data-driven environment. What you’ll do: Provide thought leadership & strategic thinking to translate business problems into analytical and clinical configuration frameworks,and independently recommend actions and provide business insights Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analytic solutions that includes data gathering, analysis, ongoing scaled deliverables, and presentations Establish and maintain effective performance tracking; identify product and program improvement opportunities, form hypotheses, propose, design and implement tests to drive enhancement and optimization Foster a collaborative and innovative culture, set clear goals, mentor staff. Establish best practices and coach team members to develop and execute complex analytics initiatives with scalability and reusability in minds Develop, implement, and monitor day-to-day operations of analytics and clinical configuration team Execute analytics initiatives that directly impact our auto decisioning roadmap and business outcomes while working as part of a cross-functional team. Partner with Data Governance to ensure tractable and explainable analytics and responsible data Research, design, execute and optimize

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The mission of the People Analytics team is to improve Stripe’s performance by collecting data, measuring critical constructs, and generating insights that help Stripe attract, develop, and retain our most important asset: our Stripes. We are a team with diverse backgrounds across consulting, HR, and data-focused disciplines who are curious, passionate, and committed to using science and data to deliver high-value, precise outputs to our users. What you’ll do This role sits at the intersection of analytics and business partnership in equal measure. You will serve as the People Analytics Analyst and Business Partner to the People Partners supporting Stripe's International organization who look after our global sites across Core, Tech, and GTM functions. As the sole People Analytics team member based in Europe, you will be the first point of contact for International stakeholders and will need to operate with confidence and autonomy in that capacity. Responsibilities Serve as the primary analytics partner and single point of contact for People Partners and senior business leaders supporting Stripe's International organization Develop and present comprehensive analyses that shape how leaders understand and act on their organizations, including ad hoc requests requiring urgency and clear communication Design, build, and maintain analytics products and self-service tooling through Visier and AI-powered solutions Lead backend Visier platform a

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

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ Join us as People Data & Analytics Officer to own Qonto's people analytics strategy and build an engine whose reach goes far beyond HR, shaping decisions across the entire company. Reporting to Mélodie Moulin, you will collaborate closely with our People Leadership team and partners across Finance and the wider business to unlock the value of our people data. You'll transform raw data into strategic insights, build scalable analytics foundations, and craft the narratives that help leaders make informed, data-driven decisions. ➡️ What you’ll do Own the People analytics roadmap, define and govern the HR KPI framework, and prioritize initiatives by measurable business impact. Identify and champion the highest-value AI use cases for HR analytics. Govern how AI to

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