Data Analytics Partner Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The vision of the Safety & Customer Care (SCC) team is to foster long-term loyalty to Lyft with every support interaction. If we are successful, a Lyft customer will rarely interact with Lyft Support. But when that interaction occurs, their issue is resolved quickly, effectively, and with true care. For a Lyft customer, their experience of Support should be that “Lyft cares about me and made the experience easy.” As a Data Analytics Lead, you’ll partner directly with cross-functional stakeholders to identify opportunities and design solutions for improving our customers’ support experience. You’ll leverage your analytical expertise to deliver actionable insights and recommendations to drive quality business decisions with customer-facing impact. The ideal candidate is a critical thinker and exceptional problem solver who can build strong relationships with different teams, and who is eager to serve as a leader within the broader Support organization to drive our business forward. Responsibilities Partner with Product, Engineering, Data Science & Analytics, Business Operations and other cross-functional stakeholders to achieve business goals Develop frameworks and scalable processes to drive decision-making and prioritization Define the metrics used to measure the success of strategic initiatives and health of our support platform; build dashboards to track metrics over time Design A/B tests and execute analyses to evaluate the impact of new product features and operational improvements Work closely with cross-functional partners to deliver data-driven insights and actionable recommendations for continuously improving the customer support experience Monitor and diagnose KPI performance and present findings to senior leadership Experience Degree in a quantitative field like statisti

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 Sales Compensation team at Stripe is responsible for the overall compensation strategy, design, and payment administration for the global sales organization. We ensure that Stripe's objectives align with the compensation program and that our sales teams are paid accurately and on time. We provide thought leadership for the go-to-market initiatives so that performance and compensation are effectively correlated. The Sales Compensation team partners closely with the revenue-generating and support functions across Stripe to support the success of our go-to-market efforts. What you'll do In this role, you'll digest critical data sets of our sales performance and correlation to variable compensation. The objective is to provide advanced analytics that translate raw trends into a compelling business narrative, synthesizing the strategic implications, quantifying the business impact, and prescribing actionable next steps to shape compensation strategies for our fast-growing sales force. As Stripe's sales teams and commercial strategy grow in size and complexity, this information is required to ensure we have industry-leading compensation mechanisms to motivate and reward our world-class sales organization. An equally important component of your role is supporting the enhancement and use of our Incentive Compensation Management (ICM) tool. You'll work closely with our experienced product expert to ensure we use our ICM to its maximum capacity fo

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 Data Science at Stripe is a vibrant community where data analysts and data scientists learn and grow together. You'll work with some of the most fundamental data at Stripe, and use that data to help drive company-wide initiatives. We have a variety of Data Analytics roles and teams across Stripe and Data Analysts are hired in line with the business needs and domain of the organization they will support. What you’ll do In this role, you'll partner 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. You'll design, build, and own the scalable data infrastructure that powers analytics and reporting across the company. Day to day, you'll translate complex business requirements into reliable data models, own end-to-end pipeline development from raw data ingestion to clean, consumption-ready datasets, and work with leaders to prioritize the highest-impact data investments. You'll go beyond building dashboards—you'll architect the data layer that makes self-service analytics possible and deliver actionable business recommendations through rigorous analysis and data storytelling. Responsibilities Design, build, and maintain scalable data pipelines and ETL/ELT workflows that power production-grade financial reporting, risk measurement, and operational decisioning for Treasury Finance Leverage AI tools (code assistants, L

Your wellbeing, our mission. Join a company shaping a healthier world. GET TO KNOW US At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company. We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. Join us in redefining the future of wellbeing! THE OPPORTUNITY We are hiring a Business Intelligence Analytics Projects Senior Analyst to our Channel Partners team in São Paulo, Brazil ! This role is designed for a highly analytical, data-driven professional, with a strong performance mindset and a clear focus on scalability and efficiency. You will act as the technical architect and visual storyteller of our partner ecosystem, owning the full insight lifecycle, from modeling complex data using SQL and Python to delivering executive, ready insights through Looker, Metabase, Google Analytics, and Google Workspace, while actively leveraging AI-powered tools to scale data management and insight delivery for Channel Partners. Your mission is to turn data into measurable performance gains, accelerating decision-making through automation, intelligence, and clarity. YOUR IMPACT Act as a strategic analytics partner for Channel Ops and Strategy, translating performance questions into scalable technical and AI-enabled solutions. Enable teams through data literacy, tooling, and AI usage coaching, reinforcing a strong data-driven and performance-oriented culture. Identify inefficiencies across the

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Product Data Analyst (L3) About the job This position is needed to help uncover and deliver product data, analysis, and insights that empower stakeholders at all levels to maximize the impact of data in decision making. Our team is expanding to provide meaningful, data-backed insights from which to develop and grow our industry leading communications products.You will own analytics workstreams end to end from ambiguous problem statements to deliver insights in a fast moving environment. Responsibilities In this role, you’ll: End-to-End Analytics: Own complex projects from scoping ambiguous problems to delivering actionable, data-driven insights. Product Strategy: Partner with PMs to define metrics, build reporting dashboards, and inject data into product planning. Technical Execution: Apply SQL and visualization tools (Looker, Tableau) to translate complex data into clear stakeholder recommendations. Data Standardisation

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. With data and analytics at the center of our people strategy, we are seeking a People Analytics Consultant to join our People Analytics team. In this role, you will support the delivery of workforce insights across the employee lifecycle by analyzing people data, developing dashboards, and identifying trends that help inform business decisions. You will partner with stakeholders across HR, Talent Acquisition, Finance, IT, and Legal to deliver accurate, timely, and actionable analytics. This role is ideal for an analytical professional who enjoys working with data, solving business problems, and applying modern analytics techniques to improve workforce outcomes. Essential Duties and Responsibilities People Analytics & Reporting Analyze employee lifecycle data, including hiring, onboarding, engagement, performance, promotions, compensation, headcount, and attrition. Develop and maintain dashboards, scorecards, and recurring reports that provide meaningful workforce insights. Respond to ad hoc analytics requests and translate business questions into data-driven recommendations. Partner with People Business Partners and HR Centers of Excellence to support workforce planning, talent reviews, and organizational health discussions. Validate data accuracy and collaborate with HR Technology and data teams to improve data quality and reporting consistency. Present findings through clear visualizations and concise business summaries. Workforce Analytics Perform st

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 business-critical financial domains including Finance and Strategy, Accounting, Tax, Treasury, Product Experience, and GTM. We are the Financial Enablement team, acting as the centralized data analytics team for Internal System Org. We enable and empower Finance and Strategy, GTM, Accounting, and Product teams to achieve business goals through dataset development, data analytics support, dashboards, AI, and operational efficiency enhancements. What you'll do You're passionate about solving business problems and making a direct impact on the business. You thrive in environments with many moving parts and quickly pick up new domain knowledge and technologies (e.g., AI). We're looking for someone with strong communication skills and advanced SQL and analytics abilities. A background in Accounting or Finance, or prior AI experience, is a strong plus, though these can also be developed on the job. Responsibilities Perform data analysis, identify trends, conduct research, and build visualizations to deliver objective, critical insights that fulfill team stakeholders' business needs Work closely with cross-functional teams, including Finance and Strategy, Accounting, Product, Tax, User Billing, Seller System, and Sales Ops teams, to align on financial goals and drive revenue growth Work closely with Engineering and Product teams to help define product solutions Leverage AI tools to improve

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Job Title: Distinguished Engineer - Data Architect Role Overview: We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics. As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems. Key Responsibilities: Architect the Core Data Platform: Design, implement, and evolve a unified blueprint for streaming and batch data processing capable of ingesting, normalizing, and storing petabyte-scale, high-velocity security telemetry. Enable AI & Advanced Analytics: Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores—including optimal vector database structures and data la

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist on the Mapping team, you will collaborate with our world class team of scientists, engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our geospatial, behavioural and mobility data, and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. The Mapping team serves models and systems that determine the most efficient routes, fastest travel estimates and process real-time map data signals to detect traffic, closures and slowdowns. Working with our business and analytics partners, the team owns tools to ensure Lyft offers routes that our users trust. This will involve identifying and scoping opportunities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in Mapping, including: How do we accurately predict acute and chronic traffic conditions? How do we improve the recommendations of our routing algorithms? How do we keep our travel estimation promises to our riders and drivers? How do we benchmark and measure the success of our services? Responsibilities: Own the complete lifecycle of algorithmic solutions from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration Prioritize and lead deep dives into our data to uncover new product and business opportunities Partner closely with E

About Us What if your work could drive change in a globally established industry, shaping processes that touch every corner of the world? At Forto, we are at the forefront of change, harnessing the power of AI to revolutionise logistics. We want to reinvent digital supply chains to be transparent, frictionless and sustainable. From day one, our mission has been to simplify global trade – creating a seamless and efficient logistics process. Your role & Mission As Data Director here at Forto, you will be responsible for creating a unified data organisation consisting of Data Science, Data Analytics and Data Engineering. You will dramatically raise the profile of data across the business, partnering with stakeholders in a number of domains to assess and support their data needs. You will own and implement a company wide data strategy, prioritizing competing demands into one cohesive and well understood approach. What you will do Be responsible for the teams (each with their own manager/technical lead) that own the 3 “pillars” of data at Forto: Data Engineering, Data Analytics and Data Science, bringing them into a unified org whilst also encouraging and respecting their specialised skills Ensure that the Data org operates a Centre of Excellence, supporting and educating the “customers” of data across the business. Break down siloes and form strong working relationships with stakeholders. Define and shape a data strategy fit for purpose across our analytical and agentic business needs. Own data governance and quality. Establish the policies, standards, ownership model, and forums that make data trustworthy. Manage day-to-day compliance with GDPR and emerging AI regulation, and set practical guardrails for data and AI use. Sponsor the data platform. Work with engineering and architecture to maintain a reliable, performant, cost-aware platform across ingestion, storage, transformation, BI, and ML. Make build/buy/partner recommendations and manage key vendor relationsh

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: You'll be Recruiting's dedicated people analytics partner — owning the data, shaping the strategy, and in the room where decisions get made. The core of the role is building trusted recruiting analytics infrastructure (funnel + stage conversion, pipeline aging, time-to-fill, offer acceptance, sourcing channel quality, and recruiter capacity) and making it self-serve for recruiters and leaders. You’ll own the stack end-to-end — from raw data in Ashby and Snowflake to clear insights that hold up in a pipeline review. You're the person who turns workforce signals into recruiting strategy — bringing a point of view. This role may be based in either our San Francisco or New York City offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Own recruiting analytics end-to-end: Build and maintain the dashboards and reporting infrastructure Recruiting leadership relies on (funnel health, conversion rates by stage, time-to-fill,

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Team Mindbody has a complex suite of products and features that customers rely on to run and grow their businesses. As the platform has grown in size and complexity, so has the opportunity to more consistently embed data into how we build and prioritize. Product Analytics exists to unlock that opportunity. We are a dedicated analytics function embedded within the Product organization, focused on surfacing timely, actionable insights that help our teams build better products and drive real business outcomes. We partner closely with Product, Design, and Engineering to understand how customers interact with our platform, identify friction and opportunity, and measure the impact of what we ship. We are a distinct team from Business Intelligence, though we partner closely with BI, who own centralized reporting infrastructure, while we focus on fast-paced, exploratory analysis tied directly to product decisions. The Role and Responsibilities We're looking for a Senior Product Analyst to join our growing Product Analytics team. This is a high-impact, high-visibility role focused on Mindbody software. You'll act as a strategic analytics partner to product

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections. Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology. The Team Mindbody has a complex suite of products and features that customers rely on to run and grow their businesses. As the platform has grown in size and complexity, so has the opportunity to more consistently embed data into how we build and prioritize. Product Analytics exists to unlock that opportunity. We are a dedicated analytics function embedded within the Product organization, focused on surfacing timely, actionable insights that help our teams build better products and drive real business outcomes. We partner closely with Product, Design, and Engineering to understand how customers interact with our platform, identify friction and opportunity, and measure the impact of what we ship. We are a distinct team from Business Intelligence, though we partner closely with BI, who own centralized reporting infrastructure, while we focus on fast-paced, exploratory analysis tied directly to product decisions. The Role and Responsibilities We're looking for a Senior Product Analyst to join our growing Product Analytics team. This is a high-impact, high-visibility role focused on Mindbody software. You'll act as a strategic analytics partner to product

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for an experienced Revenue Operations Analyst to support and accelerate the productivity of our Go-To Market organization. In this role, you will help define Smartsheet's growth strategy through insights produced with data analysis. You will work directly with senior leadership to inform strategic decision-making as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals. Our ideal candidate is curious and displays an ability to translate business questions into analysis, reports, and recommendations. To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions. In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud-based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes. You will report to our Manager, Revenue Operation Analytics. You Will: Act as a business partner to Sales leaders to understand and identify essential business questions and challenges Lead projects to develop answers and

At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Data Engineer to own the architecture and technical vision of our data platform. This is a high-leverage, high-autonomy role where you'll set the technical bar for the team, drive cross-functional alignment on data infrastructure strategy, and solve our hardest engineering problems. You'll operate across AWS serverless technologies, Snowflake, dbt, and Terraform, but your impact goes well beyond any single tool: you'll shape how we think about reliability, scalability, cost, and developer experience at the platform level. This role is for someone who doesn't just build great systems, but makes the engineers around them better. The Role: Own the technical architecture of ClickUp's data platform, making design decisions that balance scalability, cost, reliability, and velocity. Define and drive the technical roadmap for data infrastructure in partnership with leadership. Design systems at scale : build frameworks, abstractions, and patterns that other engineers use daily. Lead complex, cross-team technical initiatives spanning data engineering, analytics engineering, data science, and data analytics. Drive cost optimization across cloud infrastructure and compute, turning efficiency into a competitive advantage. Build and evolve our data pipelines using AWS serverless (Lambda, Fargate, Step Functions, Kinesis, S3, DynamoDB, Aurora), Snowflake, and dbt. Establish and champion engineering standards : observability, testing, CI/CD, code review, and documentation practices. Design and maintain infrastructure for AI/ML workloads , including LLM frameworks, feature pipelines, training