Staff Analyst

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 attainment, coverage and territory effectiveness, forecasting, and broader GTM performance trends
• Translate ambiguous business questions into structured analyses, clear recommendations, and scalable data solutions
• Connect GTM outcomes with product and customer signals to identify growth opportunities, improve prioritization, and deepen understanding of the customer journey
• Partner selectively with Product and Technical teams to inform decisions that sit at the intersection of commercial strategy, product behavior, and operational execution
• Collaborate with GTM Tech, Atlas Core, and Emerging Products to combine business context with technical and product signals in ways that improve insight generation and strategic alignment
• Build scalable dashboards, datasets, reporting layers, analytical frameworks, and self-service tools that raise the quality and speed of decision-making
• Use SQ