Data And Monetization Analyst Jobs

Company Overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact. Accordion works at the intersection of Private Equity sponsors and portfolio companies management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics and AI. Accordion is headquartered in New York City with 10 offices worldwide, including the India office based out of Hyderabad. Join us and make your mark on our company. Data & Analytics (Accordion | Data & Analytics) Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele. We bring together deep domain expertise, advanced technology, and AI-enabled analytics capabilities to solve some of the most complex and high-impact business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics helping them unlock value, drive performance, and make smarter, faster decisions powered by data and AI-driven insights. D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Being part of Accordion India means joining a dynamic community of 800+ professionals across analytics, data science, finance, and technology. You’ll thrive in a high-growth, agile, and entrepreneurial environment where curiosity is encouraged, innovation is embraced, and em

Company Overview Accordion is a global financial consulting and technology firm helping CFOs and their teams drive value creation. Rooted in private equity rigor and powered by data, analytics, and AI, we partner with companies across industries to turn insight into impact. Accordion works at the intersection of Private Equity sponsors and portfolio companies management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics and AI. Accordion is headquartered in New York City with 10 offices worldwide, including the India office based out of Hyderabad. Join us and make your mark on our company. Data & Analytics (Accordion | Data & Analytics) Accordion's Data & Analytics (D&A) practice in India delivers cutting-edge, intelligent solutions to a global clientele. We bring together deep domain expertise, advanced technology, and AI-enabled analytics capabilities to solve some of the most complex and high-impact business challenges. We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics helping them unlock value, drive performance, and make smarter, faster decisions powered by data and AI-driven insights. D&A team members deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more. Being part of Accordion India means joining a dynamic community of 800+ professionals across analytics, data science, finance, and technology. You’ll thrive in a high-growth, agile, and entrepreneurial environment where curiosity is encouraged, innovation is embraced, and em

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an experienced Data Engineer to partner with our Data Science and Data Infrastructure teams to own and scale our data pipelines. You’ll also work closely with stakeholders across business teams including sales, marketing, and finance to ensure that the data they need arrives promptly and reliably. You’ll play an integral role in building the metrics and self-serve reporting capabilities to unlock Figma’s next phase of growth. This is a great role for an individual who is passionate about working with data and data systems, and who love s solving problems. You’ll have a good sense for when it makes sense to build fast, scrappy solution s to unblock a key stakeholder vs. when to push back or bring in an outside service. The ideal candidate will be a great communicator who can help coordinate across multiple internal and external teams and take s pride in building end-to-end projects. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma : Own, build, and maintai n scalable data pipelines that connect various cloud data sources. Develop a deep understanding of Figma’s core data model s and optimize data pipelines for scale. Partner with the Data Science and Data Infrastructure teams to build new foundational data sets that are trusted, well understood, and enable self-service . Work with a wide range of cross-functional stakeholders to derive requirements and architect shared datasets; ability to documen

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View) APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention Who Thrives Here? We hire sprinters, not coasters—people who: Choose growth over comfort Lead through challenges Are energized by high expectations It’s not for everyone, and that’s intentional. If your ambition is matched by your work e

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Data Engineer, D&A Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. Role The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance

About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. The Core Data Platform organization owns all the infrastructure necessary to run an operationally efficient analytical data stack. About the Role The Data Platform team spans data mobility frameworks, ingestion, infrastructure, tools, and governance. Together, they design and operate scalable compute and ingestion frameworks using technologies such as Spark, Flink, Kafka, Airflow, and modern lakehouse solutions, while also building abstractions and tools that simplify data workflows for engineers, analysts, and ML practitioners. In parallel, these teams establish strong data quality, cataloging, privacy, and compliance standards to ensure trust in analytics and regulatory adherence. As relatively high-impact teams, they offer engineers the opportunity to shape the roadmap, influence core platform decisions, and directly enable DoorDash’s business-critical insights and real-time personalization capabilities. You must be located in San Francisco, CA, Sunnyvale, CA, Seattle, WA, or New York, NY. You're excited about this opportunity because you will… Drive vision & strategy for building the frameworks charter and position it to handle the challenges of a rapidly growing business. Scale the analytical platform for the increasing amounts of data and use cases. You will bring your expertise in building and operating high scale systems with a focus on reliability, scalability and cost efficiency. Collaborate with stakeholders building solutions on top of the platform Foster a positive and supportive work culture, upleveling others. We're excited about you because you have… B.S., M.S., or PhD. in Computer Science or equivalent. 2+ years of industry experience in software engineering Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including

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, Mission or Department Overview The New York Times is looking for a Senior Analyst to join the Data and Insights Group (DIG). As part of the Data and Insights Group (DIG), you will join a large community of experienced analysts. You will partner with Product, Newsroom, Engineering, Design, Marketing, Strategy, Finance and PMO teams across the business. We are looking for a curious and a collaborative team player- someone who understands the value of contribution to a greater whole and the importance of analytic delivery. This is a hybrid role based in our New York City headquarters. You can typically expect to come into the office 3 days/week. Responsibilities: Create data-driven insights, promote them and lead them into action Develop centralized reporting dashboards and automated reports to expand access to data and analytics Write SQL to build pipelines and analyze large datasets Run A/B tests, deliver test insights and advise on future tests and next steps Advise partners on areas of opportunity Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world. You will report to the Senior Manager, Data and Insights Basic Qualifications: 2+ years of experience working with data analytics or data science teams to deliver analysis 1+ years of experience applying statistical methods to analytical problems Proficiency in SQL a

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData’s Corporate team collaborates directly

Data Analyst - Investments Summary We are seeking an organised and self-motivated Data Analyst to work embedded in our Investments team, to help shape the development of one of the world's leading FinTech products. About the opportunity As a Data Analyst, you will enable our product and business segments in the Financial Empowerment domain, specifically Investments, to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product teams' initiatives, helping to drive the strategy of your business segment. You will apply robust analytical approaches, including experimentation and causal inference methods where appropriate, to understand the impact of product and business decisions on customer and business outcomes. You are here to establish a data mindset and thereby foster a culture of continuous learning and improvement. You will work in a cross-functional setup, collaborating closely with other analysts, engineers, designers, and product managers. In this role, you will: Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities. Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions. Evaluate initiatives: Support product experimentation and impact measurement initiatives; design experiments and causal inference analyses, obtain cross-functional alignment, execute robust analyses, and deliver actionable insights. Share these learnings through clear documentation and concise, empathic communication. Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product teams can interact with data and extract the right insights themselves. Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs. Improve data literacy

About the Team The Statsig team at OpenAI builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products. Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics. We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era. About the role: We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI! In this role, you will: Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse. Develop canonical datasets to track key product metrics including user growth, engagement, and revenue. Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions. Implement ro

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role We are currently seeking a staff software engineer to join the Alternatives Data Management (ADM) team. Our team is building AI-powered data products and workflow solutions that unlock transparency, efficiency, and insight in private market investments. You’ll join a talented full-stack team of engineers and work on distributed services that are used across the entire ADM engineering stack. Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role. What You’ll Do Own the end-to-end delivery of complex, multi-month initiatives within ADM, including work that spans team boundaries. Anticipate risks and unblock dependencies before they become delivery blockers. Lead technical designs for new products and workflow solutions, aligned with ADM and Addepar’s longer-term strategy. Solicit feedback and build consensus. Write exemplary, highly performant, and scalable code and frameworks. Evangelize and promote best engineering practices. Serve as a primary technical point of contact. Initiate and lead collaboration with cross-functional teams to resolve complex application and infrastructure issues. Mentor engineers, identify ski

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll build the partnerships function that scales our curriculum—bringing the world's leading content providers, technology vendors, and highest-profile instructors onto DataCamp so millions of learners can build the skills that matter. About the role This is a player-coach role that reports to our Content organization. You will own the partnership strategy end-to-end, personally close the deals that define it, and then build a small team behind you as the function grows. Here's what your day-to-day will look like: Own DataCamp's partnership strategy for curriculum: which content providers, technology vendors, and marquee experts we partner with, in what order, and why. Source, negotiate, and close partnerships—licensed and co-branded content, official vendor certifications, and marquee instructor deals. Build and manage senior relationships across the AI, data, and cloud ecosystem, from partner leadership through to their content and product teams. Work with curriculum, product, legal, and marketing to take partnerships from signed agreement to live content that learners actually complete. Define what a high-quality partner looks like for DataCamp and hold the bar—prioritizing depth and learner impact over volume of logos. Own the commercial and contractual side of partnerships, including licensing terms, revenue share, and instructor agreements. Hire, coach, and grow a small partnerships team over time, while continuing to carry your own portfolio of relationships. Report on partnership performance to leadership, and make the call on which partnerships to double down on and which to retire. Qualifications: 3-5+ years in partnerships, alliances, o

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll build the partnerships function that scales our curriculum—bringing the world's leading content providers, technology vendors, and highest-profile instructors onto DataCamp so millions of learners can build the skills that matter. About the role This is a player-coach role that reports to our Content organization. You will own the partnership strategy end-to-end, personally close the deals that define it, and then build a small team behind you as the function grows. Here's what your day-to-day will look like: Own DataCamp's partnership strategy for curriculum: which content providers, technology vendors, and marquee experts we partner with, in what order, and why. Source, negotiate, and close partnerships—licensed and co-branded content, official vendor certifications, and marquee instructor deals. Build and manage senior relationships across the AI, data, and cloud ecosystem, from partner leadership through to their content and product teams. Work with curriculum, product, legal, and marketing to take partnerships from signed agreement to live content that learners actually complete. Define what a high-quality partner looks like for DataCamp and hold the bar—prioritizing depth and learner impact over volume of logos. Own the commercial and contractual side of partnerships, including licensing terms, revenue share, and instructor agreements. Hire, coach, and grow a small partnerships team over time, while continuing to carry your own portfolio of relationships. Report on partnership performance to leadership, and make the call on which partnerships to double down on and which to retire. Qualifications: 3-5+ years in partnerships, alliances, o

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll build the partnerships function that scales our curriculum—bringing the world's leading content providers, technology vendors, and highest-profile instructors onto DataCamp so millions of learners can build the skills that matter. About the role This is a player-coach role that reports to our Content organization. You will own the partnership strategy end-to-end, personally close the deals that define it, and then build a small team behind you as the function grows. Here's what your day-to-day will look like: Own DataCamp's partnership strategy for curriculum: which content providers, technology vendors, and marquee experts we partner with, in what order, and why. Source, negotiate, and close partnerships—licensed and co-branded content, official vendor certifications, and marquee instructor deals. Build and manage senior relationships across the AI, data, and cloud ecosystem, from partner leadership through to their content and product teams. Work with curriculum, product, legal, and marketing to take partnerships from signed agreement to live content that learners actually complete. Define what a high-quality partner looks like for DataCamp and hold the bar—prioritizing depth and learner impact over volume of logos. Own the commercial and contractual side of partnerships, including licensing terms, revenue share, and instructor agreements. Hire, coach, and grow a small partnerships team over time, while continuing to carry your own portfolio of relationships. Report on partnership performance to leadership, and make the call on which partnerships to double down on and which to retire. Qualifications: 3-5+ years in partnerships, alliances, o

About DataCamp Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors. In this role, you'll build the partnerships function that scales our curriculum—bringing the world's leading content providers, technology vendors, and highest-profile instructors onto DataCamp so millions of learners can build the skills that matter. About the role This is a player-coach role that reports to our Content organization. You will own the partnership strategy end-to-end, personally close the deals that define it, and then build a small team behind you as the function grows. Here's what your day-to-day will look like: Own DataCamp's partnership strategy for curriculum: which content providers, technology vendors, and marquee experts we partner with, in what order, and why. Source, negotiate, and close partnerships—licensed and co-branded content, official vendor certifications, and marquee instructor deals. Build and manage senior relationships across the AI, data, and cloud ecosystem, from partner leadership through to their content and product teams. Work with curriculum, product, legal, and marketing to take partnerships from signed agreement to live content that learners actually complete. Define what a high-quality partner looks like for DataCamp and hold the bar—prioritizing depth and learner impact over volume of logos. Own the commercial and contractual side of partnerships, including licensing terms, revenue share, and instructor agreements. Hire, coach, and grow a small partnerships team over time, while continuing to carry your own portfolio of relationships. Report on partnership performance to leadership, and make the call on which partnerships to double down on and which to retire. Qualifications: 3-5+ years in partnerships, alliances, o