
Senior Data Analyst
MongoDB · Posted Nov 5
Modern database platform, cloud database-as-a-service, vector search, and developer data services
Get a personal compatibility score
Add a resume for personal matches
About the role
MongoDB's Analytics team partners across go-to-market and Product to help the business make better decisions, working with Sales, GTM Operations, FP&A, CRM Technology, and Product teams to connect data at a granular level and understand performance. The role sits within MongoDB's unified, cloud-native data platform business, which spans AWS, Google Cloud, and Microsoft Azure. As a Senior Data Analyst, you will frame business questions, deliver reliable SQL-based analysis and dashboards, and translate findings into practical recommendations.
What you will do
- Partner with Sales, GTM Operations, FP&A, CRM Technology, and Product to understand business questions and shape them into clear analytical work
- Analyze business performance, including pipeline health, funnel movement, productivity, attainment, and other team priorities
- Write SQL analyses and build reusable datasets; use Python or R for data exploration, analysis, and automation
- Build and improve dashboards and reporting that help teams monitor performance and investigate changes
- Identify meaningful trends, risks, and opportunities; explain what the analysis does and does not show; and recommend next steps
- Work with data and systems partners to investigate quality issues, clarify definitions, and improve data reliability
- Communicate results clearly to technical and non-technical audiences and follow through on whether recommendations are adopted
Skills used in this role
What the employer is looking for
- 5+ years of experience in analytics, business intelligence, or a related field. We welcome candidates with different backgrounds and strong evidence of relevant skills and impact
- Strong SQL skills are required, including the ability to join and aggregate data, reason about metric definitions, and validate results
- Experience using Python or R for analysis and data manipulation is a plus
- Experience turning business questions into structured analysis and communicating findings to different audiences
- Familiarity with dashboards or data visualization tools; Tableau experience is helpful
- Good data judgment: you check assumptions and data quality, are transparent about limitations, and can distinguish a useful signal from noise
- A collaborative, dependable approach to working with business and technical partners, including when requirements are still taking shape
- Experience in SaaS, go-to-market, sales, finance, or product analytics is helpful, but not required
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
Recent coverage
CRN
MongoDB Launches New AI Agent Management Offering, Major Database Update2026-09-29
MongoDB Newsroom
MongoDB Announces CEO Transition2026-09-28
PR Newswire
Cognition and MongoDB Partner to Modernize Enterprise Infrastructure In Months, Not Years2026-09-29
MongoDB Investor Relations
MongoDB Announces Second Quarter Fiscal 2027 Financial Results2026-09-01