Strategy And Analytics Business Partner Analyst Jobs

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) —

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 are seeking a senior finance professional with a strategic mindset who thrives in a dynamic, private equity-backed business environment. This person will serve as a trusted financial advisor to the CEO and executive leadership team, providing analytical rigor and strategic insight to drive the company's highest-priority growth initiatives. Spanning corporate strategy, M&A, pricing, R&D investment, and new product commercialization, this role sits at the intersection of finance and corporate strategy in a modern SaaS company. The candidate must be a highly motivated self-starter who can independently frame complex problems, develop actionable recommendations, and communicate with conviction to senior stakeholders. Principal duties and responsibilities: Serve as the primary financial partner to the CEO on strategic initiatives, including market expansion, competitive positioning, and long-range planning Lead end-to-end M&A analysis: target screening, financial modeling, valuation (DCF, LBO, comparable company/transaction analysis), due diligence support, and post-close integration tracking Develop comprehensive market sizing frameworks (TAM/SAM/SOM) and investment theses for new product introductions and R&D allocation decisions Own pricing strategy analytics — building models that evaluate monetization options, price elasticity, packaging structures, and margin impact across the SaaS product portfolio Construct and maintain dynamic financial models that support go-to-market decisions, including customer lifetime value (LTV), customer acquisition cost (CAC), payback periods, and cohort analysis Translate strategic investments into quantified financial outcomes, including IRR, NPV, and scenario-weighted return analyses for board and PE sponsor consumption Play a key role in preparing annual budgets and monthly reforecasts across bookings, revenue, operating expense, and capital expenditure Demonstrate a clear understanding of financial results, inclu

MongoDB is seeking a highly motivated Senior Deal Strategy Analyst to join our Global Deal Strategy function. This role will act as a strategic partner to Sales leadership on complex, high-value deals and opportunities, bringing sound judgment and financial rigor to structuring that balances revenue, profitability, and market share priorities. This is a tremendous opportunity for an experienced deal strategy professional who thrives on ambiguity, enjoys influencing cross-functional stakeholders, and is relentless in their pursuit of excellence in a high-growth environment. We are looking to speak to candidates who are based in Singapore for our hybrid working model. Responsibilities Serve as a senior, trusted advisor to Sales leadership and cross-functional stakeholders on the structuring and execution of complex, non-standard, and high-value deals Independently evaluate and resolve non-standard deal requests, driving cross-functional solutions across Sales, Finance, and Legal with minimal oversight Review and approve key terms on quotes, ensuring accuracy and alignment with pricing, revenue recognition, and operational guidelines Ensure all transactions adhere to internal revenue recognition policies and operational guidelines, escalating and resolving edge cases as needed Lead the development and rollout of best practices and playbooks that increase sales efficiency and shorten cycle times across the global team Identify and implement opportunities to automate and streamline deal desk workflows using AI and automation tools (e.g., AI-assisted contract review, quote generation, deal analytics), reducing manual effort and turnaround time Drive deal reviews, early checkpoints, and enforcement of standard business practices and policies; identify and address systemic gaps in deal process Partner with Finance and Sales Operations leadership on forecasting, deal analytics, and continuous improvement of deal desk processes Present recommendations and deal strategy insigh

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: We are seeking a highly analytical and business-oriented Data Analyst to join our Global Centre of Excellence (COE) in Mumbai. This role will play a critical part in enabling data-driven decision-making across Global Procurement and Real Estate & Workplace Solutions (REWS). The analyst will act as a data partner for both functions - owning dashboards, analytics, reporting frameworks, and data quality - while supporting global transformation initiatives, cost optimisation, portfolio performance, and digital enablement. This is a hands-on role requiring strong analytical capability, stakeholder engagement, and the ability to translate complex datasets into clear, actionable insights for senior leadership. What you'll be doing: Data Strategy & Governance (Procurement & REWS) Support the execution of the global data and reporting strategy across Procurement and REWS. Ensure data accuracy, integrity, and consistency across multiple data sources (ERP, S2C tools, real estate systems, finance data). Define and maintain data validation processes for spend, contracts,

About Paytm 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 Role UPI is the backbone of India's digital payments revolution — and Paytm is one of its largest participants, processing hundreds of millions of transactions every month. We are looking for a Product Manager to join our UPI team and drive product strategy, user growth, and experience excellence across our UPI-powered flows. This role sits at the intersection of consumer behaviour, financial infrastructure, and regulatory nuance. You will own high-impact product surfaces and work closely with engineering, design, data, and business teams to ship products that millions of Indians use daily. Key Responsibilities 1. Analytics Strategy & Ownership - Own the end-to-end analytics charter for one or more UPI surfaces — from metric definition to instrumentation to insight generation - Build and maintain the source-of-truth framework for north-star and guardrail metrics across the UPI funnel (initiation, authentication, success/failure, retention) - Partner with NPCI-mandated reporting requirements and ensure analytical rigor aligns with regulatory data standards - Lead a team of analysts, setting priorities, reviewing outputs, and raising the bar on analytical craft 2. Funnel, Growth & Behavioural Insights - Diagnose friction points across the UPI journey using deep-dive analysis, cohort studies, and funnel decomposition - Build engagement, frequency, and top-of-wallet models to inform product and growth strategy - Design analytical frameworks for discovery and nudge effectiveness as new UPI capabilities are adopted - Partner with design and product research to combine quantitative and qualitative signals into a

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. The Sr. Analyst, Renewals Strategy & Operations Opportunity Renewals Strategy & Operations partners with Okta's global Renewals organization to drive forecasting, planning, and systems that protect and grow the company's retained revenue. We support a 67-person Renewals org. We’re looking for a strategic critical thinker with an ownership mindset to drive analytics that scale. As a trusted advisor to the Renewals organization, you own the analytical backbone of the day-to-day business operations, including: forecasting, capacity and retention planning, and accountability and measurement for the org. You build these into scalable, trusted systems. What you'll be doing Forecasting. Own the weekly and quarterly forecast process end to end. Maintain accuracy tracking so we know when the forecast is wrong, why, and what to fix. Development of new forecasting models. Capacity & Retention Planning. Own target setting and capacity modeling as well as the book of business management to provide renewal management with clear visibility into territory and account health. Accountability & Measurement. Partner with cross-functional leadership on incentive design and how we measure individual performance. Own recurring reporting that holds the org accountable: product depth and adoption, true up visibility, and other measures the team needs. Analysis & Automation. You understand tables and sources well enough to direct AI tools to g

Location - Hybrid This is a hybrid role based out of our San Francisco, Corporate Headquarter office, 3 days in the office, 2 days work from home. About Us Sauce Labs is the world’s largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world’s top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at http://saucelabs.com . Release Assurance at the Speed of AI | Meet the new Sauce Labs The Role The Senior GTM Strategy & Planning Analyst will play a key role in supporting go-to-market (GTM) strategy through sales forecasting, churn forecasting, revenue analytics, and capacity planning across the GTM teams. This role will partner closely with Sales, Marketing, Customer Success, and Finance to align GTM initiatives with company growth objectives and contribute to executive-level insights for board presentations. Responsibilities GTM Board Materials: Support preparation of sales forecasting, churn forecasting, and revenue insight materials for executive and board review, ensuring data accuracy and alignment with company strategy. Executive Reporting: Help develop executive-level reporting materials, including presentations that translate complex data into clear, actionable insights. Forecasting: Build and maintain sales forecasting models in partnership with Sales Leadership, modeling pipeline generation, deal velocity, close rates, and other key metrics. Build predictive models to forecast customer churn, leveraging historical data and customer behavior insights to inform retention and renewal strategies. GTM Capacity Planning: Build and maintain capacity models to help ensure GTM t

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. About the Role The Manager, Business Operations and Enablement is a people leader and operational owner supporting The New York Times' Advertising organization. You will translate advertising strategy into scalable execution across the sales cycle. Responsibilities will include managing client coordinators, resource planning, classified business operations, Salesforce governance and enablement, performance analytics, and competitive intelligence. Our mission in BOE is to provide the best experience to our internal and external clients. You will report to the Sr. Director, BOE and partner with the Executive Director, BOE. This is a hybrid role based in the NYC office. Responsibilities: You will lead a team of client coordinators, developing skills, managing capacity planning, staffing, coverage. Establish and strengthen service standards, quality controls, and operating rhythms for POD support and designated client coordinator accounts. Lead daily classified business operations. Be an escalation point for complex operational issues. You will lead high-priority advertising projects, from definition through delivery. Coordinate pre and post-sale workflows and processes. Evaluate tools for AI/automation opportunities that create operational value. Lead competitive-intelligence operations. Establish governance for processes, data definitions, documentation, and compliance. Promote Salesforce enablement and adoption. Partner with BOE leads to refi

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

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

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Growth Finance team partners with Robinhood’s Growth and Marketing organizations to guide investment decisions and help drive efficient, sustainable customer and asset growth. We provide financial and strategic insights across customer acquisition, marketing, promotions, and product-led growth initiatives, with a focus on growing Net Funded Accounts, Net Deposits, and Gold subscribers. As a Finance & Strategy Senior Analyst, Growth & Marketing, you will be a key Finance partner to the Growth and Marketing organizations, combining financial modeling, analytics, and business judgment to inform investment decisions. You will independently own high-impact analyses and leadership reporting, while helping modernize and scale Finance processes through automation and AI. This role is based in our Menlo Park, CA, New York, NY or Chicago, IL offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do Own key Growt

The Central Sales Analytics team at MongoDB sits at the center of how we understand and improve the performance of our revenue engine. While this role is rooted in Sales Analytics, its scope is broader and spans key parts of the GTM organization. This team partners closely with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and other cross-functional stakeholders to drive data-informed decisions across pipeline, productivity, forecasting, product adoption, and overall business performance. We are looking for a Sr/Staff Analyst who can operate as both a strategic thought partner and a hands-on builder. This person will lead high-impact analytics work, translate ambiguous business questions into clear analytical plans, and develop scalable data products that help leaders make better decisions faster. The right candidate combines strong business judgment with deep technical fluency in SQL and Python, and is comfortable influencing senior stakeholders while independently driving complex work from scoping through execution. This role also sits at an important intersection of GTM, Product, and Technology. In select cases, this person will work with Product and Technical teams to connect GTM insights with product signals and customer behavior, especially across GTM Tech, Atlas Core, and Emerging Products. There is also a strong expectation that this person brings an AI-forward mindset, using leading AI technologies and platforms to accelerate analysis, improve workflows, and build scalable insight-generation capabilities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. What you'll do Partner with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and broader GTM stakeholders to identify high-value analytical opportunities and turn them into actionable insights Lead deep-dive analyses across pipeline health, funnel conversion, seller productivity, quota attain

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Senior Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approval

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Analyst I roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, an