Business Analyst 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. Lyft is looking for an Engineering Manager from across multiple disciplines. We are growing our team with people who want to build, improve, and incorporate technologies that make the lives of our community more enriched. As an Engineering Manager at Lyft, you'll collaborate with other teams and orgs, product managers, designers, data scientists, analysts, and operations on technology that empowers us to iterate quickly, while focusing on delighting our passengers and drivers. The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with specific verticals like your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Engineering Manager on the Rider vertical team, you will act as a critical technical leader, taking holistic ownership of supporting current projects and delivering new products from 0 to 1. This includes developing complex systems, defining strategic roadmaps, driving cross-functional alignment, and ensuring engineering excellence to improve the rideshare experience. Responsibilities: Drive team execution, proactively resolve bottlenecks and make decisive trade-offs. Partner with cross-functional teams (Product, Design, Marketing, Science, and Analytics) to define the team's strategic direction. Translate high-level business goals into actionable projects. Own a team roadmap from conception to delivery, managing cross-team dependencies and mitigating risks. Maintain operational excellence through contributing to best practices for observability, reliability, and on-call processes. Ensure technical excellence through architecture reviews, tech debt management, and engineering guidance. Maintain team health

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 in the Pay, Integrity & Identity org, you will collaborate with our world class team of engineers, product managers, analysts and other data scientists to help create best in class pay platforms, stop fraudulent actors from harming our riders & drivers fraud and build user trust on the Lyft platform. You will run experiments (A/B tests) and develop data driven solutions to launch new features and remove the bad actors from the Lyft platform while maintaining a positive experience for genuine users. We’re looking for an intellectually curious individual who has extraordinary attention to detail, a track record of analytical problem-solving and skilled communication. Prior experience in the fintech, fraud or identity space is preferred. Responsibilities: Design and analyze experiments in collaboration with other scientists, product & engineering; communicate findings to stakeholders and facilitate launch decisions Leverage advanced statistical techniques to generate quantitative insights and develop machine learning models Analyze the wide variety of signals available to identify patterns in large datasets and uncover root causes Partner with product managers, engineers, and operators to translate analytical insights into decisions and action Build data pipelines and develop analytical frameworks to monitor business and product performance Set business metrics that measure the health of our products, as well as passenger and driver experience Collaborate with product and engineering and communicate findings to stakeholders in a clear and concise manner Experience: Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience 4-6+ years of industry experi

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 Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

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. Data Science & Analytics is at the heart of Lyft's products and decision-making. The Rider Experience team sits at the center of how millions of riders discover, choose, and return to Lyft. We are hiring a Data Science Manager to lead our Toronto-based science & analytics team that turns rider behavior into product strategy. This role owns the analytical foundation behind our most consequential rider-facing decisions: how we measure experience quality, where friction costs us retention, and which bets move rider LTV. You will set the measurement and experimentation standards for rider product squads, and translate ambiguous business questions into rigorous, decision-ready analysis that shapes roadmap and investment. You will also lead the team's transition to AI-native data science and analytics workflows, embedding AI tooling into how we explore data, make decisions, and ship products. Responsibilities: Lead and grow a high-performing team of data scientists and analysts with diverse backgrounds Define and drive the data science vision, strategy, and roadmap, aligning with business and product objectives to improve market competitiveness and rider experience Provide strong technical guidance and coaching to the team on complex data science problems Champion data-driven decision-making and prioritization by partnering with product managers, engineers, marketers, and leaders to translate insights into decisions and action Lead deep-dive analyses into large-scale datasets to identify opportunities for improving rider app experience and overall rider product health Ensure robust experimentation and causal inference methodologies are applied to measure the impact of new features and strategies Mentor and guide the professional and technical development of your team members; help develop the

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 Pricing team is a centerpiece of Lyft’s marketplace, determining prices for all rideshare products and supporting new initiatives. Dynamic Pricing & Offer Selection sits at the heart of Pricing, focused on determining optimal prices and ETAs in real-time and balancing supply and demand for our two-sided marketplace to drive both short-term and long-term conversion and retention. As an Applied Scientist specializing in Machine Learning and Operations Research on this team, you will develop mathematical models and launch algorithms that power these key pricing and ETA decisions. You will leverage your skills to build ML and optimization models and productionalize pipelines that can scale to millions of calls per day while solving critical business problems that have a big impact on the marketplace and rider experience. You will get exposure to a diverse set of real-world problems across optimization, prediction, machine learning, and inference and collaborate closely with teammates and stakeholders across Pricing, from Product Managers to Engineers and Analysts. We are looking for someone who is excited about working in a fast-paced, innovative, and impactful environment, and is adept at balancing complexity and efficiency to translate real world business problems into reliable solutions, systems and decision frameworks. Responsibilities Partner with Data Scientists, Engineers, Product Managers, and Business Partners to frame problems mathematically and within the business context Write production quality code. Design, build and deploy production-grade ML and Optimization models. Able to build custom methods and tooling beyond off-the-shelf libraries. Perform data analysis and build proof-of-concepts to explore and propose ML and Optimization solutions to both new and existing problems.&n

Role Description As the Principal, Market & Competitive Intelligence Manager you will lead Dropbox’s enterprise competitive intelligence program across Dropbox Core, DocSend, Sign and Sign API, and Dropbox Protect. Sitting within the Chief Business Officer’s organization, you will work close to the company’s most important strategic and go-to-market decisions. You will build the operating system that turns competitor activity, market developments, customer feedback, win/loss findings, and field signals into clear recommendations and action. This is a highly visible, hands-on leadership role for a senior individual contributor. You will strengthen Dropbox’s competitive positioning, improve how our teams navigate competitive sales cycles, inform product and go-to-market choices, and deepen executive understanding of a rapidly changing market. Your work will span both sales-led and product-led motions and help Dropbox tell a sharper, more differentiated story. You will partner closely with Sales, Product Marketing, Product, Research, Revenue Operations, Analyst Relations, and Communications. Success requires equal strength in strategic judgment and execution: identifying what matters, developing a defensible point of view, and delivering useful recommendations and tools at the speed of the business. Responsibilities Lead Dropbox’s enterprise competitive intelligence program across Dropbox Core, DocSend, Sign and Sign API, and Dropbox Protect. Establish a company-wide operating model for collecting, prioritizing, analyzing, distributing, and measuring competitive intelligence. Translate competitor launches, pricing and product changes, AI developments, customer feedback, and market shifts into actionable recommendations for Sales, GTM Strategy, Product Marketing, Product, and executive leadership. Produce decision-ready intelligence—including executive briefings, competitive points of view, rapid-response analysis, battlecards, alerts, and market coverage—tailored t

Role Description As the Principal, Market & Competitive Intelligence Manager you will lead Dropbox’s enterprise competitive intelligence program across Dropbox Core, DocSend, Sign and Sign API, and Dropbox Protect. Sitting within the Chief Business Officer’s organization, you will work close to the company’s most important strategic and go-to-market decisions. You will build the operating system that turns competitor activity, market developments, customer feedback, win/loss findings, and field signals into clear recommendations and action. This is a highly visible, hands-on leadership role for a senior individual contributor. You will strengthen Dropbox’s competitive positioning, improve how our teams navigate competitive sales cycles, inform product and go-to-market choices, and deepen executive understanding of a rapidly changing market. Your work will span both sales-led and product-led motions and help Dropbox tell a sharper, more differentiated story. You will partner closely with Sales, Product Marketing, Product, Research, Revenue Operations, Analyst Relations, and Communications. Success requires equal strength in strategic judgment and execution: identifying what matters, developing a defensible point of view, and delivering useful recommendations and tools at the speed of the business. Responsibilities Lead Dropbox’s enterprise competitive intelligence program across Dropbox Core, DocSend, Sign and Sign API, and Dropbox Protect. Establish a company-wide operating model for collecting, prioritizing, analyzing, distributing, and measuring competitive intelligence. Translate competitor launches, pricing and product changes, AI developments, customer feedback, and market shifts into actionable recommendations for Sales, GTM Strategy, Product Marketing, Product, and executive leadership. Produce decision-ready intelligence—including executive briefings, competitive points of view, rapid-response analysis, battlecards, alerts, and market coverage—tailored t

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 Security Incident Response team is responsible for triaging and assessing the severity of incoming security alerts, responding with initial containment measures and escalating as needed to incident responders for further investigation and resolution. They analyze a variety of data sources to identify potential threats, collect requirements for operational enhancements to detection and response systems, and generally scale security processes. From external attacks to insider threats, our goal is to respond with speed and precision, remediate, and support the incident postmortem process. The team is distributed globally and regularly coordinates with stakeholders in North America, Europe, and Asia. What you’ll do You will leverage your security management experience to improve incident response capabilities at Stripe. You will manage a team of security analysts, investigators, and responders on the front lines of the incident response process, hiring, training, and evaluating their performance, providing technical guidance where needed, developing clear and consistent response procedures, and ensuring timely and effect

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: We are the Central Data and AI Product team, responsible for building and managing the analytical products and datasets that power decision-making across Paytm. We’re rebuilding how analytics gets done at the company. As a central product team, we drive the build and adoption of our data platform in close partnership with consumer teams across business verticals (Online Payments and Offline Payments) and functions (Growth, Risk, Data Science). About the Role: This is a senior Data Product Management role for someone who enjoys marrying business analytics problems to simplified data design solutions. You will own a portfolio within the Central Data and AI Product charter, lead a small, high-leverage team (1–2 PMs and 1 analyst), and partner with engineering and business stakeholders to ship products that scale across the organisation. Key Responsibilities: * Lead and grow a team of product managers and analysts (1–2 PMs and 1 analyst) — hiring, coaching, performance management, and career development. * Drive the end-to-end data product development lifecycle — from discovery and scoping through delivery, adoption, and iteration. * Define and articulate the product vision, strategy, and roadmap in alignment with company goals and market trends. * Partner with cross-functional teams — business, growth, risk, and data science — to understand customer needs and align product offerings to work cleanly with agentic analytical workflows. * Work closely with engineering on technical design, development, sprint planning, and prioritisation across our stack (AWS, Spark, EMR, EC2, Hive, Trino, Superset)

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Executive Director, Technology Product Management – Medical Cost Initiatives Location: Remote Department: Healthcare Technology & Product Management Reports To: VP, Chief Health Informatics Officer (CHIO) - CVS Healthcare Delivery Role Overview As the Executive Director, Digital Product – Medical Cost Initiatives , you will lead the technology product strategy and execution for key medical cost portfolios for CVS Healthcare Delivery businesses. Core areas of focus are Care Transitions, Patient Segmentation, Chronic Condition Pathways, and Specialty Care Services. In this high-impact executive role, you will partner directly with clinical and business operational leaders to shape end-to-end technology pathways that support CVS Healthcare Delivery care models. You will lead a multidisciplinary team of product managers, Epic analysts, software engineers, data scientists, and UI/UX designers to translate clinical vision into scalable technology roadmaps that optimize patient outcomes and lower the total cost of care. The ideal candidate must have expertise with value-

Senior Finance Manager - Space Launch Systems Company: The Boeing Company The Boeing Defense and Space (BDS) Space Launch System (SLS) Financial Operations team is seeking a Senior Finance Manager - Space Launch Systems. This opportunity is located in Kennedy Space Center, Florida to join our team working on the largest and most powerful rocket ever produced. If you are a proactive and driven finance professional with a demonstrated history of initiative, dedication, and a strong commitment to excellence, we encourage you to apply. At Boeing, we're not just building rockets; we're shaping the future of human exploration. This critical leadership role will partner closely with The National Aeronautics and Space Administration (NASA), Program Managers, Integrated Product Team (IPT) leaders, and Executive leadership to ensure strict compliance with Earned Value Management (EVM) principles, align strategic financial plans with business execution, and maximize program financial performance. The position requires exceptional skills in financial oversight, risk management, stakeholder collaboration, and driving successful delivery from cost, schedule, and technical perspectives. Position Responsibilities: Lead, motivate, and develop a high-performing team of financial analysts dedicated to supporting program and contract activities with a focus on EVM compliance and business execution excellence Coordinate and integrate the overall program financial activity, ensuring alignment with strategic objectives and full Earned Value Management (EVM) reporting requirements Partner with program managers and IPT leadership to drive financial strategy that maximizes program execution, op

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: The WPP DTS Business Intelligence team is looking for an exceptional Senior Analytics Manager to lead two of the four working pillars within our 14-person (and growing) global BI function: Product & Engineering Intelligence and Sentiment & Value Intelligence . In this role, you will be the vital bridge connecting day-to-day tactical analytics with the broader WPP DTS Business Intelligence vision . You will partner directly with product leadership, engineering, UI/UX research, client, and market enablement teams to establish trusted telemetry, evaluate feature adoption, and measure the business value of our digital products. You will have line management responsibility for 2 analysts (split across the UK and US), serving as a dedicated mentor and technical guide to help them deliver their best work and grow their careers. Working closely with the VP of Business Intelligence, you will establish unified tracking standards, integrate qualitative sentiment with behavioural data, and ensure our reporting delivers the critical ‘so what’ that inspires executive action. This rol

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE SHOULD YOU ACCEPT THIS CHALLENGE… The GTM BI team at Pure Storage supports Revenue Operations across pipeline, forecasting, seller performance, and executive reporting — and we are at an inflection point. We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our roadmap includes scalable automation frameworks, semantic business intelligence, and AI-enabled workflows that help surface insights with less manual effort. As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded in modernization first: building scalable dbt foundations, improving quality and engineering standards, and enabling the team to operate more efficiently before scaling broader AI-enabled capabilities. You will partner closely with BI analysts, Sales Operations, Systems teams, and backend engineering partners to modernize how analytics is engineered, governed, and consumed across the organization. This role is for someone who wants to build — not maintain. WHAT YOU’LL DO… Lead and contribute hands-on to the team’s dbt and Snowflake modernization initiatives Build scalable semantic and metrics layers supporting GTM domains including pipeline, forecasting, quota, attainment, and seller performance Design and maintain robust ELT/ETL pipelines, orchestration workflows, and reusable business-facing datasets Build CI/CD, testing, observability, lineage, and data qualit

About StarRez StarRez is the global leader in student housing software, providing innovative solutions for on and off-campus housing management, resident wellness and experience, and revenue generation. Trusted by 1,400+ clients across 25+ countries, StarRez supports more than 4 million beds annually with its user-friendly, all-in-one platform, delivering seamless experiences for students and administrators. With offices in the United States, Australia, the UK, and India, StarRez blends the robust capabilities of a global organization with the personalized care and service of a trusted partner. The Role You have an uncanny knack for problem solving and you have a sharp product mindset. Our engineers are involved in all aspects of the software design process and create high-performing, scalable, and secure products. You’ll work alongside cross-functional teams to design right-size solutions that power a new market-leading Analytics platform. As a Data Engineer at StarRez, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the StarRez ecosystem. This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, Full-Stack Engineers, and Product teams to translate customer and business requirements into robust data solutions - enabling everything from standardised dashboards to advanced analytics and embedded intelligence. You are hands-on, pragmatic, and comfortable working in a fast-evolving environment where you’ll help shape both the technical platform and the operating model as we scale. What you’ll be doing Build and maintain scalable data pipelines to ingest, transform,

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: You will be the Senior Product Manager for the Truecaller iOS app. You’ll work across multiple surfaces of the app: Caller ID & Spam Blocking, Premium subscriptions, Onboarding, Family Protection, and a fast-growing Travel eSIM business. This is a broad, senior IC role. You get real autonomy and real accountability. You find the problems worth solving, build conviction with data, ship, measure & iterate. The right person is hands-on. You prototype your own ideas, write your own queries, and use AI as a force multiplier, not a novelty. You care about craft, in the product and in how you communicate. What you'll do: Own the roadmap for multiple product surfaces, from quarterly plans down to individual tickets Run high-velocity experiments: design A/B tests, define success metrics, read results honestly, kill your own ideas when the data says so Prioritize ruthlessly. Engineering capacity is finite, and the surface is large; you decide what doesn't get built Partner daily with engineering, design, and data analysts Be the voice of the customer: user interviews, App Store reviews, support tickets, and turn that signal into roadmap decisions Communi