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Business Analyst Jobs

10,000 active opportunities · Updated for October 2026

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Explore current business analyst jobs. Use filters to narrow by work mode, employment type, experience and date posted.

M
Mongodb
📍 Gurugram• Full-time
1mo ago

MongoDB continues to grow incredibly fast. This is the perfect opportunity to roll up your sleeves and have a positive impact at a hyper-growth company. We’re looking for someone who is excited to join a team where they can proactively identify and implement systems and process improvements to help grow and scale the business. In this high impact role, you will work closely with executives and internal functions including Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance and Accounting, and HR to improve and establish processes and systems for our next stage of growth. Shift Timings: 6:00 PM-2:00 AM -Night Shift (Cabs will be provided) We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities: We are looking for a highly motivated Sales Commissions Analyst to play a key role within MongoDB’s Sales Compensation Team. This highly visible position is key to supporting the continued rapid growth of the Company and will be primarily responsible for administration & analysis of the Global Sales Incentive Plans. We are looking for someone who is detail oriented with excellent organizational and time management skills. Excellent verbal and written communication, and collaborative skills are also required to interface in a cross functional teaming environment with various levels of management. This is an excellent opportunity for a sharp, eager professional passionate about working in a dynamic environment with one of the fastest growing companies in the Database Market. Responsible for the administration of MongoDB’s Global Sales Compensation Plan in Xactly Incent, including timely electronic distribution and acceptance tracking of plans Responsible for the calculations of MDB compensation plans to ensure payments are accurate, complete, and in compliance with company policy and practice Partner with Sales Operations and Sales Finance to maintain and deploy worldwide annual compensation pl

mongodbawsazure
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M
1mo ago

This role can be based remotely in India. Position Summary We are seeking an exceptional Principal Technologist to join our team in India. This pivotal role will work closely with our account teams to engage with C-suite executives and senior technical leaders at MongoDB’s most strategic customers. You will bridge the gap between complex data architectures and AI to power business transformation, positioning MongoDB as the premier platform for modernizing legacy systems and building next-generation AI applications. As a recognized technical thought leader, you will shape industry perspectives through regular activities including high-impact technical evangelism and thought leadership, executive roundtables, presentations delivered to customers, keynotes at MongoDB and industry events, and regularly briefing tier-1 press, media, and analysts as a credible and trusted company spokesperson. Qualifications 10+ years of experience in customer and market-facing roles at the principal or Field CTO level Recognized technical leader with deep hands-on experience with enterprise-scale applications Influence & Scalability: Demonstrated success in scaling your technical influence and earned credibility. Experience speaking at major tech conferences, hosting technical webinars, or contributing deeply to the developer community (via technical blogs, open-source contributions, or whitepapers) is highly desired Deep portfolio and history of published content, presentations at events, interviews or quotes in the the press and media Executive Presence: Exceptional ability to command a room with credibility, deliver compelling keynote presentations, and influence technology strategies with a CxO audience Strong understanding of database architectures, distributed systems, and cloud computing concepts, with experience in distributed systems design, including scalability, fault tolerance, and consistency models Familiarity with modern application development frameworks and han

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L
Lyft
📍 San Francisco• Full-time
1mo ago

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 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. Evaluate machine learning systems against business goals. Collaborate with Engineers to implement algorithms in live systems and ensure the robustness of the systems Establish metrics and development measurement methodologies to monitor the health of our products, as well as the impacts on user and marketplace outcomes Drive collaboration and coordination with cross-functional teams

pythonmachine learningai
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L
Lyft
📍 San Francisco• Full-time• $128K – $160K/yr
1mo ago

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 is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

pythonsqlai
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L
Lyft
📍 New York• Full-time• $128K – $160K/yr
1mo ago

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 is at the heart of Lyft’s products and decision-making. Data Scientists at Lyft operate in dynamic environments, moving quickly to build the world’s best transportation solutions. We tackle a wide range of challenges—from shaping long-term business strategy with data, to making critical short-term decisions, to developing algorithms and models that power both internal systems and customer-facing products. We are looking for an experienced and highly motivated Data Scientist to join the Central Market Management team and lead key initiatives that enhance the quality of our overall decision-making. You’ll work cross functionally with other Data Scientists, Data Analysts, Product Managers, and Finance partners to make sure we are making the most financially efficient decisions to scale our business. You will identify gaps in our operational processes and measurements, and work to create strategies, frameworks, and models to help address them and deliver impact. Responsibilities Leverage data and analytical frameworks to identify opportunities for improving operational efficiency Define and implement decision frameworks, measurement strategies, and scientific methodologies that bring consistency and rigor to business decisions and forecasts, balancing opportunity and uncertainty Deliver integrated, high-quality analytical outputs spanning multiple projects while navigating ambiguity, cross-team dependencies, and open-ended scope Define and implement a robust attribution framework to evaluate the performance of high-stakes decisions Act as a technical lead, guiding other Data Scientists and fostering a culture of analytical excellence Write efficient, clean, production-level code (Python, SQL), ensuring reproducibility, documentation, and long-term maintainability of analytical assets B

pythonsqlai
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D
Discord
📍 San Francisco Bay Area• Full-time• $116K – $130.5K/yr
1mo ago

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We are looking for a passionate and motivated Strategic Finance Analyst to join our growing Revenue Finance team at Discord. Reporting to the Finance Manager for Revenue, you will be responsible for driving revenue modeling, revenue forecasting, preparing regular reporting and analysis, understanding the drivers of our rapidly expanding subscription business, and partnering with cross-functional teams to support functional strategic initiatives and unlock new growth opportunities. In this role, you will work with senior leaders across Data Science, Product, Engineering, Partnerships, and Operations to make a direct impact on revenue strategy and decision-making. Come help us pave the way to a more awesome Discord! What you'll be doing Forecast the future. Build and maintain long-range revenue forecasts, incorporating cohort behavior, product impacts, FX trends, and experimentation data. Analyze key drivers. Dive into ARPU, retention, platform mix, and geo/product performance to surface actionable insights. Automate & optimize. Streamline processes and dashboards in Excel, Pigment, and Looker; replace manual workflows with scalable, documented systems. Build with AI. Use AI agents like Claude Code and Codex to draft models, automate reporting, and turn raw data into first-draft analysis, then bring the judgment to know when the output is right. Partner for growth. Build strong relationships with Product, Partnerships, Engineering, and GTM teams to size opportunities, vet new initiatives, and set targets. Uplevel Data Pipelines & Processes. Collaborate with Accounting and Data Science to resolve d

sqlrestai
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S
Stripe
📍 San Francisco• Full-time
1mo ago

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 Bridge is creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper than SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. The Stripe Finance and Strategy team is an integral thought partner to Stripe's core functional leaders. We bring understanding and predictability to Stripe's bottom-line financials. We work cross-functionally across many surfaces at Stripe and help steward Stripe's resource investments to improve the durability of our long-term financial performance. This role will partner closely with Bridge, a small team of people experienced in building financial infrastructure at leading companies. What you'll do We are looking for a Strategic Finance Partner who combines the rigor of a trained financial analyst with the technical self-sufficiency to answer complex business questions independently. This is a high-ownership, high-exposure role. You will own business forecasting, pricing analytics, and cross-fu

sqlaiswift
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S
1mo ago

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 Datalake team builds and maintains Stripe's foundational data access and governance infrastructure — the paved path for safe, fast, and compliant access to Stripe's critical big data assets. We serve developers, data engineers, analysts, ML and AI teams, security teams, and business users across the company. The team is in the middle of a significant architectural transition as Stripe grows. We are making Stripe's data lake a first-class citizen of the modern data ecosystem to support our growing scale and diverse workloads. What Makes This Role Compelling Foundational infrastructure with broad reach: The Datalake team's systems sit in the critical path of nearly every data workload at Stripe. Decisions affect petabytes of data, hundreds of production pipelines, and every engineering team that builds on Stripe's data lake. Active, high-stakes architectural transformation: The team is executing a multi-year migration to modern, OSS-aligned solutions — a technically deep project with real architectural choices at each step, including API design, compute engine integration, authorization model, and per-table credential vending. Active, high-stakes, OSS-aligned architectural transformation: You will lead a multi-year migration to modern, open-source solutions like the Apache Iceberg REST Catalog. This is a technically deep project involving critical architectural choices at each step, from API design and compute engine integration

azurerestai
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S
Stripe
📍 United States• Full-time
1mo ago

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 Stripe's mission is to increase the GDP of the internet — and we do that responsibly. The User Risk Strategy (URS) function is at the heart of that responsibility: it is the team that defines who Stripe can do business with , on what terms, and how those standards are maintained and enforced at scale. The function sits within the First Line of Defense in Stripe's Risk organization and is the authoritative owner of Stripe's supportability framework. We are looking for a seasoned leader to own and evolve the URS / Supportability function as a Manager of Managers (M2). In this role, you will lead a team of risk strategists and analysts across Ecosystem Strategy, New Product Enablement, User Insights & Enablement, Platform Risk Strategy, and Enforcement & Monitoring Strategy (EMS). You will be a senior leader in the Risk Strategy organization, shaping the direction of Stripe's supportability ecosystem and driving cross-functional decisions that directly influence Stripe's ability to grow safely. In this role, you will report into the Head of Risk Strategy and partner closely with Product, Engineering, Legal, Financial Crimes, Financial Partnerships, Operations, and GTM leadership. What you’ll do Responsibilities Strategy & Vision Own the long-term vision and strategy for Stripe's User Risk / Supportability function, ensuring legitimate users can use Stripe while protecting Stripe's financial platform, brand, and regulatory s

gitrestai
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S
1mo ago

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 Fraud Operations team works to identify, investigate, and resolve fraudulent activity before it impacts Stripe’s business or users. From merchant fraud to card testing and account takeover, our goal is to build a scalable, highly accurate organization of investigators to mitigate risk to Stripe and our users. The team is globally distributed and regularly coordinates with stakeholders across all regions. What you’ll do As the Manager of Fraud Operations, you will lead a team of high-performing fraud analysts and set an inspirational vision for the broader Fraud Operations organization. You will be responsible for driving the execution of short and long-term initiatives to futureproof the organization, ensuring it is well-equipped to scale and adapt to Stripe's highly complex and evolving fraud landscape. Responsibilities Inspire, motivate, and develop a high performing fraud investigations team, fostering a collaborative and results-oriented environment. Establish clear goals, provide coaching and feedback, and support the professional growth of team members. Set a strategic vision for the team and build the path to execute it in both the short and long-term. Proactively evolve the organization’s strategy to scale operations and address day-to-day challenges. Collaborate with and influence risk leadership and cross-functional stakeholders to identify the highest ROI investments for user experience, process improvement, and risk

S
Stripe
📍 Seattle• Full-time• Remote
1mo ago

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 Product Marketing team generates customer insights that shape Stripe's product strategy and leads go-to-market across our suite of products. It's a highly cross-functional role—we partner closely with Product, Engineering, Sales, Partnerships, and Demand Generation, and we work across the entire product lifecycle: from helping shape what we build, to driving launch and commercialization, to growing adoption post-launch. Market Intelligence is embedded within Product Marketing and provides product and GTM leadership with the insights, analysis, and recommendations needed to sharpen product-market fit and position Stripe effectively in the market. What you’ll do We're looking for a leader to manage the Market Intelligence team, define how it interlocks with partner functions across Stripe, and lead strategic initiatives to strengthen our market position. In this role, you'll be the connective tissue between market signals and Stripe's most critical product and GTM decisions—clearly articulating priorities that inform what we build and for whom. You'll partner with senior leaders across Product, Engineering, Sales, and Marketing, manage a team of market intelligence analysts, and communicate complex ideas in ways that drive real decisions. Success in this role requires equal parts analytical rigor, storytelling, and the ability to operate fluidly between high-level strategy and ground-level execution. Responsibilities Define the direction a

REMOTEgo
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