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From the employer's careers site First seen 9 Nov 2026

Senior Data Analyst

MongoDB Gurugram Hybrid senior full-time

The employer hasn't listed a salary.

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Description

MongoDB's Analytics team partners across go-to-market and Product to help the business make better decisions. As a Senior Data Analyst, you'll work with business and technical partners to frame questions, deliver reliable analysis, and translate findings into practical recommendations.

Responsibilities

  • 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

Requirements

  • 5+ years of experience in analytics, business intelligence, or a related field
  • 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

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