Staff Analyst
MongoDB · Posted Oct 12
Modern database platform, cloud database-as-a-service, vector search, and developer data services
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About the role
The Central Sales Analytics team at MongoDB sits at the center of how the company understands and improves the performance of its revenue engine, partnering with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation and GTM Tech across pipeline, productivity, forecasting, product adoption and business performance. The role sits at an intersection of GTM, Product and Technology, working with GTM Tech, Atlas Core and Emerging Products to connect commercial insights with product and customer signals. This Sr/Staff Analyst will lead high-impact analytics work, build scalable dashboards, datasets and analytical frameworks using SQL and Python, apply AI technologies to analytics workflows, and present findings to senior stakeholders.
What you will 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 SQL and Python as core tools for data extraction, transformation, analysis, automation, modeling, and repeatable insight generation
- Apply leading AI technologies and platforms to improve analytical workflows, accelerate discovery, and develop scalable data and insight products that can be reused across teams
- Present findings to stakeholders across levels, including senior leaders, with a strong focus on clarity, business impact, and actionability
- Partner with Data Engineering, Data Architecture, IT, and adjacent analytics teams to improve the quality, usability, and scalability of sales and GTM data assets
- Strengthen data governance, metric consistency, and reporting reliability by identifying root causes of data issues and driving durable improvements
- Raise the analytical bar for the team by improving processes, sharing best practices, and mentoring other analysts where appropriate
Skills used in this role
What the employer is looking for
- 6+ years of experience in Sales Analytics, GTM Analytics, Revenue Analytics, Business Analytics, or a closely related field
- Strong fluency in both SQL and Python; both are core requirements for success in this role
- Proven ability to work with large, messy datasets and translate complex analyses into clear business insights and recommendations
- Strong background supporting go-to-market, sales, revenue, customer, or commercial organizations in a SaaS or high-growth technology environment
- Demonstrated ability to work across business and technical teams and influence decisions through data, structured thinking, and clear communication
- Experience building scalable analytics assets such as data models, dashboards, automated workflows, decision frameworks, or reusable insight products
- Ability to connect business questions to product usage, customer behavior, and operational signals in a way that drives action
- Strong foundation in data modeling, metric design, data quality, and data governance principles
- Ability to independently lead ambiguous, cross-functional projects from problem framing through delivery and stakeholder adoption
- Excellent communication and stakeholder management skills, including the ability to influence senior audiences with data
- Hands-on experience using modern AI technologies or platforms to enhance analysis, improve productivity, or build scalable analytical capabilities
- Strong ownership mindset with the judgment to know when to go deep, when to simplify, and how to drive impact across functions
Preferred qualifications
- Experience working across both GTM analytics and product analytics contexts
- Familiarity with product telemetry, customer health signals, usage trends, or product-led growth motions
- Experience partnering with Product, Engineering, Data Engineering, or GTM Systems / GTM Tech teams
- Experience supporting Atlas Core, Emerging Products, or similarly technical product portfolios
- Track record of building internal analytical tools, automation, or data products that scale beyond a single stakeholder group
- Experience applying experimentation, forecasting, machine learning, or advanced statistical methods in business settings
- Experience with Tableau or similar BI tools
- Familiarity with Salesforce and other core GTM systems
Benefits and support
- Employee affinity groups
- Fertility assistance
- Generous parental leave policy
About MongoDB
MongoDB is a modern, general-purpose database platform designed to unleash the power of software and data for developers and enterprises globally. Its flagship cloud database service, MongoDB Atlas, supports flexible document models, vector search, and transactional capabilities built for modern cloud and AI-driven workloads.
- Industry
- Database Software
- Company size
- 5741 employees
- Founded
- 2007
- Location
- New York, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $311M raised
- 2015-01-01Series F$80M
Leadership
President and Chief Executive Officer
Chief Financial Officer
Chief Technology Officer
Chief Customer Officer
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