Product Pricing & Monetization Strategy Senior Analyst

MongoDB is seeking a Senior Analyst on the Pricing Monetization team to help shape how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations. This position requires a driven self-starter who is able to communicate clearly and effectively with leadership and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making. This role is a hybrid / in-office role, with approximately three days per week in our New York City Office. Responsibilities Evaluate and propose pricing and packaging for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs Build financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions and support key product decisions Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives Communicate strategic insights and recommendations to leadership Conduct competitive benchmarking to understand market dynamics and RD investment opportunities Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translating these inputs into unit economics and pricing models Requirements BA/BS in a quantitative field 2-5 years of experience in strategy, business operations, or financial analysis and operations, preferably as a management consultant or at a data-driven product/technology company Proven track record of using data to drive business decisions including the ability to structure problems for analysis Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner Advanced Excel and Google Slides or PowerPoint skills Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python is a plus Ability to move quickly and iterate on analyses Comfort with ambiguity, solving complex problems, and working in a self-guided manner Interest in the intersection of product strategy, finance, and business operations Success Measures Within 1 month, get up to speed on the analytical tools we use, the products we offer our customers, and our market and competitors Within 2 months, begin partnering with cross-functional teams on initiatives that support our product pricing and packaging strategies Within 3 months, scope and launch your first major business case, with input from your team and cross-functional stakeholders About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 1 ... (truncated, view full listing at source)