Business Analytics Analyst Jobs

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Responsibility Lead long-term loading, cross-site capacity, workforce, and qualification readiness planning; perform scenario modeling and risk assessment for business changes, ramps, network shifts, and demand fluctuations. Drive CapEx, OpEx, budget, and cost-efficiency planning through financial modeling, variance analysis, and collaboration with Finance and Operations teams. Improve labor productivity and operational performance through KPI management and analytics, including LPI, OT%, utilization, bottlenecks, and equipment effectiveness. Ensure qualification readiness by aligning capacity, hardware, software, systems, and resources to support successful qualification execution. Develop and standardize planning methodologies, data governance frameworks, reporting processes, and management dashboards across Global Quality Operations. Utilize SQL, Python, Power BI, Tableau, and automation technologies to build predictive planning models, automate recurring processes, and generate actionable business insights. Apply company-approved AI and automation technologies, including Microsoft 365 Copilot, Azure OpenAI-based solutions, Power Automate, UiPath, Genie Lab, and other enterprise AI platforms to improve forecasting, reporting, decision support, workflow efficiency, and knowledge management.

ABOUT THE TEAM The Data Modeling team builds and maintains the core data models and metrics that power decision-making across Mural. We are part of the Data Organization and focus on creating shared, reusable data models that represent key product and business concepts and are used across the company. Our work supports internal analytics, customer insight reports embedded in the product, and AI/ML model training. We partner closely with Product, Engineering, Data Platform, Business Analytics, Data Science, and Analytics Engineering to ensure the company is working from consistent definitions, high data quality, and reliable data availability. We are a small, high-leverage team focused on building durable data foundations rather than one-off solutions. YOUR MISSION You will own the delivery and evolution of Mural’s core data models and shared metrics, with a strong focus on data quality, reliability, and availability. This is a hands-on leadership role. You will not build stakeholder-specific data marts or ad-hoc analyses. Instead, you will focus on building foundational, reusable data models and metric definitions that support many use cases across the company. Your success will be measured by how widely trusted, consistently available, and broadly reused the data models and metrics you own are across teams such as Business Analytics, in-product insights, and ML. WHAT YOU'LL DO Own and evolve core data models and metrics: Define and maintain shared models for product usage, customers, accounts, and key business metrics that support analytics, in-product customer insights, and AI/ML model training Build and operate foundational data products: Stay hands-on building models using SQL, Python, and Spark in a modern lakehouse environment (e.g., Databricks), with strong attention to data quality, availability, performance, and cost Define shared semantics: Design and maintain shared metric definitions and semantic layers so data is interpreted consistently across teams an

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 Billing organization at Stripe builds and operates Stripe Billing, a growing product vertical inside of Stripe. Hundreds of thousands of businesses of all sizes and types use Stripe Billing to collect revenue for recurring and one-time payments across a variety of different pricing models—from selling SaaS subscriptions, to orchestrating multi-stage contracts, delivering business analytics, and providing recovery and retention tools to prevent customer churn. To support even the most unique and complex business models, our technology and products must be configurable and programmable. This requires our team to innovate in how we model different types of businesses, and how we use technology to enable customers to piece together Stripe’s Billing’s platform primitives into holistic solutions that support any type of business. Through this work, Stripe Billing allows worry-free innovation and evolution of any customer’s business model. Stripe is defining the industry’s approach to Billing solutions; we’re looking for innovators to join us. What you’ll do We’re looking for an experienced Engineering Manager to lead a team within the Stripe Billing organization. In this role, you will manage a high-performing team of engineers and partner closely with product managers and other cross-functional leaders to shape the team’s strategy and roadmap. You will excel in this role if you’re a product-focused engineering manager who can collaborate effe

Job Title Demand Planner, Supply Chain, Personal Health (Stamford CT) Job Description 589964 Demand Planner, Supply Chain, Personal Health (Stamford, CT) As a Demand Planner, Supply Chain, Personal Health, you will lead the development and execution of the demand planning process, leveraging data, market insights, and cross-functional collaboration to improve forecast accuracy, optimize inventory, and support strategic business decisions. Your role: Lead and optimize the end-to-end demand planning process, developing accurate and timely forecasts that incorporate market dynamics, consumer trends, customer insights, and business objectives across assigned product categories. Partner closely with sales, marketing, supply chain, and other cross-functional teams to drive consensus demand planning, align supply and demand, and ensure demand plans are updated in support of business planning cycles and strategic decision-making. Develop and refine demand planning models, tools, and analytical frameworks, leveraging advanced analytics and machine learning to improve forecast accuracy, anticipate demand fluctuations, and optimize inventory management. Analyze internal and external data and key performance indicator trends to identify risks, supply chain disruptions, and process improvement opportunities; develop and implement solutions that improve operational efficiency and customer satisfaction. Drive continuous improvement across the demand planning function by implementing demand planning systems and emerging technologies, establishing best practices, and supporting talent management activities including selection, performance management, career development, and day-to-day operational leadership. You're the right fit if: You’ve acquired 3+ years of experience with a Bachelor’s degree or 1&#4

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 experienced software engineers from a variety of 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 engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers. As a Senior Software Engineer on the Marketplace team, you will lead work streams to improve business operations in Lyft’s Marketplace. You'll design AI driven data analytics platforms, data pipelines and metric governance systems that our business leaders use on a daily basis to make key strategic decisions. You will partner with business leaders and data scientists across our organizations to enable running the business more efficiently. Responsibilities: Help define the roadmap and architecture based on technology and business needs Drive AI innovation for business analytics and operations Write well-crafted, well-tested, readable, maintainable code Have a good grasp and ability to explain the various tradeoffs made in decisions Participate in code reviews to ensure code quality and distribute knowledge Lead projects from idea to positive execution Incorporate considerations for business context and failure modes in your work Proactively participate in resolving ongoing incidents Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices Experience: 5+ years of software engineering industry experience with a high level programming language (bonus points for experience with Python or Go) AI Experience in Agen

About Flexport: At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a $10T industry with solutions powered by innovative technology and exceptional people. Today, companies of all sizes—from emerging brands to Fortune 500s—use Flexport technology to move more than $19B of merchandise across 112 countries a year. The recent global supply chain crisis has put Flexport center stage as we continue to play a pivotal role in how goods move around the world. We are proud to have the support of the best investors in the game who believe in our mission, solutions and people. Ready to tackle global challenges that impact business, society, and the environment? Come join us. The opportunity: Reporting to the Head of Finance APAC, the Senior Manager of FP&A will play a pivotal business partnering role and will provide financial direction to senior leadership for the region, while providing leadership on forecasting, business planning, management reporting, business analytics activities along with ad hoc projects when needed. A hands-on and thoughtful team player who can build and oversee the tools and processes to help us scale for the future. He/she will also bring a strong analytical toolset, and experience in managing the planning activities of a global matrix organization. This role also helps to build financial literacy among the APAC Leadership Team with transparency and accountability for driving profitability and opportunity, and ensure that finance is seen as a value-added business partner. You will: Be the business partner for a number of countries within APAC, to support key business decisions and evaluate progress as well as own a number of initiatives across the region such as OPEX and productivity measurement and tracking Manage and participate in the analysis and interpretation of operating results. Preparation of exe

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. Role Overview We are looking for a high-ownership leader to drive growth, retention, and recurring revenue for the soundbox subscription business. The role requires managing the complete merchant subscription lifecycle, including acquisition quality, renewals, merchant engagement, churn reduction, and operational execution. Key Responsibilities - Subscription Growth: Drive merchant onboarding, ensure high-quality acquisition, improve activation-to-paid conversion, and expand the active merchant base. - Retention & Renewals: Improve renewal rates, reduce churn, and build win-back strategies for inactive merchants. - Merchant Lifecycle Management: Own the end-to-end journey, ensure active product usage, and coordinate service support to improve satisfaction. - Revenue Ownership: Drive Monthly Recurring Revenue (MRR), improve collections efficiency, and monitor subscription funnel metrics. - Team Management: Manage field sales and retention teams, monitor productivity, and drive performance reviews. - Analytics & Governance: Analyze churn and activation trends, track performance dashboards, and identify fraud or activation risks. Preferred Skills • Strong analytical and problem-solving capabilities • Hands-on experience with SQL, dashboards, reporting, and business analytics • Expertise in building automated reporting frameworks and KPI monitoring systems • Ability to convert large datasets into actionable business insights and growth opportunities • Experience managing retention, renewals, collections, pricing, or revenue growth initiatives at scale • Strong ownership mindset with a track record of driv

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Team/ Role Paragraph: The FCM Operations team supports Coinbase Financial Markets, Inc.’s US Futures, Options, and Prediction Markets businesses by managing critical operational workflows, including trade flow and position management, margin monitoring, internal and regulatory reporting, and business analytics. The team also enables new product launches, feature enhancements, and vendor management. We are seeking a senior individual contributor who can operate at both strategic and execution depth, using technical and regulatory expertise to evolve the FCM operating model. This person will identify where workflows, controls, and tooling may break as the business scales, partner cross-functionally to design better solutions, and drive those solutions through implementation. This role is ideal for a hands-on, product-oriented operator who can translate business complexity into scalable processes, control frameworks, and operational tooling. What you’ll do: Own and continuously improve the FCM operating model across core workflows including trade flow management, position management, margin monitoring, internal reporting, regulatory reporting support, and business analytics. Lead the design and build of scalable operational solutions across people, process, and tooling, with a focus on reducing manual effort, increasing control quality, and improving operational r

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Associate, FCM The FCM Operations team supports Coinbase Financial Markets, Inc. across US Futures, Prediction Markets, and Options by managing back-office operations including trade flow management, position management, margin monitoring, regulatory reporting, and business analytics. As a Senior Associate, FCM, you'll own exception management and operational readiness for new product launches, ensuring our derivatives infrastructure scales reliably while meeting regulatory expectations. What you'll do: Own exception management across cash, positions, trades, and margin, including triage, investigation, resolution, and implementation of durable fixes Lead operational readiness for new product launches, covering UAT/test case design, playbooks, cutover plans, and post-launch stabilization Partner with Product, Risk, Compliance, Accounting, and Engineering to design processes, controls, and reporting that scale and meet regulatory expectations Establish monitoring and exception reporting frameworks (SLAs, KPIs, dashboards) and run incident triage with clear escalation paths Drive root cause analysis and post-mortems, translating learnings into product and process improvements Identify and implement automation and tooling to reduce operational friction and manual work Required Skills and Experience: 5+ years in financial services or fintech operations with FCM, b

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Power BI, Gsheets for operational and management reporting Data extraction as per business request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Desired Skills and Experience: 3 - 5 years working with large data sets and conducting quantitative analysis Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R/Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelor’s in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute ...........................

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

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 Marketing Strategy & Planning Manager . About the job We're hiring a Marketing Strategy & Analytics Manager to join our global marketing analytics team, sitting alongside our Media Mix Modeling (MMM) data scientists and our regional analytics business partners (EMEA and APJ). This is a hybrid role: part senior business partner, part data scientist. You'll act as a trusted analytics advisor to marketing leadership — owning end-to-end analyses of funnel performance, campaign effectiveness, and marketing ROI — while also being fluent enough in MMM methodology to apply, extend, and translate our MMM outputs into decisions our regional and global marketing leaders can act on. This role is ideal for someone who has grown from a strong analytics/BI background into applied data science, has direct exposure to MMM (Robyn, Meridian, or similar), and wants a role that blends storytelling and stakeholder influence with

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is looking for someone data-driven and self-motivated who believes in our mission of helping people achieve their financial ambitions to join our Relay Business, a key pillar in SoFi’s Member Group Business Unit focused on delivering on our promise to help our 15M+ members achieve financial independence. In this role you will lead the strategy, operations and execution across a x-functional Relay Team, which is a top driver of growth and engagement for SoFi and a key contributor to SoFi’s strategy to be our member’s One-Stop-Shop. The Relay product includes Personal Financial Management tools, credit score monitoring, spend tracking & budgeting, and more. What you’ll do: Support overall vision and strategy for the business area, partnering with leads across functions (e.g. Product, Marketing) and Member BU Leadership Set and manage overall XFN team operations for Relay to execute against vision and strategy, and achieve OKRs Manage the P&L for the area in partnership with Finance (business impact), in line with area goals and company goals Develop and provide regular reporting on business performance/analytics and ensure timely communication to the Executive Team and the Board Support legal/compliance approach for the area, partnering with leads in our legal department on

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

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Data Scientist on our Analytics and Data Insights team, you'll work on problems that don't have textbook answers yet; building the analytics that shape product and company strategy, designing the experiments that prove or kill our biggest bets, and helping enterprise customers understand what foundational AI actually means for their bottom line. You'll own analytical work end-to-end: from framing the right questions and building the models to shipping insights, tools, and results that product leaders, sales teams, and enterprise customers rely on. As a Data Scientist, you will: Drive the mission forward. Build bleeding-edge agentic analytics: Agentic analytics is far from a solved problem, and we want to be the company that solves it. We need the sharpest minds with the curiosity, drive, and focus required to build the tools necessary to bring order and clarity to real world data. Define AI impact measurement: own the end-to-end analytics st