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Senior Data Analyst

MongoDB · Posted Nov 5

Modern database platform, cloud database-as-a-service, vector search, and developer data services

GurugramFull-timeHybridSenior Level5+ years₹28.0L–₹45.0L yearly33 applicants
Database SoftwareCloud ComputingNoSQLArtificial IntelligenceEnterprise SoftwarePublic Company
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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

Sequoia CapitalIntel CapitalRed HatAlleyCorp
  • 2015-01-01Series F$80M

Leadership

C“
Chirantan “CJ” Desai

President and Chief Executive Officer

MB
Mike Berry

Chief Financial Officer

JS
Jim Scharf

Chief Technology Officer

EV
Erica Volini

Chief Customer Officer

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