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Sr/Staff Analyst, Central Sales Analytics

MongoDB· Central Sales Analytics
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Hybrid (Gurugram)Full-timePosted 2mo ago

About the role

Senior/Staff analytics role focusing on GTM, Sales, and broader go-to-market performance. Lead high-impact analyses, build scalable data products, partner with cross-functional teams, apply AI-forward methods, and influence senior stakeholders.

Responsibilities

  • 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 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 for better insight generation
  • Build scalable dashboards, datasets, reporting layers, analytical frameworks, and self-service tools
  • Use SQL and Python for data extraction, transformation, analysis, automation, modeling, and repeatable insights
  • Apply leading AI technologies to accelerate discovery and build scalable data/insight products
  • Present findings to stakeholders including senior leaders with clarity and business impact
  • Partner with Data Engineering, Data Architecture, IT, and analytics teams to improve data asset quality, usability, and scalability
  • Strengthen data governance, metric consistency, and reporting reliability by addressing data issues
  • Raise analytical bar by improving processes, sharing practices, and mentoring others

Qualifications

  • 6+ years of experience in Sales Analytics, GTM Analytics, Revenue Analytics, Business Analytics, or closely related field
  • Strong fluency in SQL and Python; both core requirements
  • Experience working with large, messy datasets and translating analyses into clear business insights
  • Background supporting go-to-market, sales, revenue, customer, or commercial org in SaaS or high-growth tech environment
  • Ability to influence decisions across business and technical teams using data and structured thinking
  • 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 to drive action
  • Strong foundation in data modeling, metric design, data quality, and data governance
  • Ability to independently lead ambiguous, cross-functional projects from framing to delivery and adoption
  • Excellent communication and stakeholder management skills, including influencing senior audiences with data
  • Hands-on experience using modern AI technologies to enhance analysis and productivity
  • Strong ownership mindset and ability to drive impact across functions

Skills

Required:SQLPythonData modelingStakeholder managementCommunication

Benefits

  • Culture of growth and AI-forward analytics mindset
  • Hybrid work model based in Gurugram
  • Cross-functional collaboration with Sales, Product, and Tech teams
  • Opportunities to mentor analysts and raise analytical standards
Last updated Oct 8, 2026. Interested? Apply on the company site.
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