Staff Analyst

MongoDB

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Gurugram, Haryana, India
Posted
42 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $173k
$121k most similar roles pay here $226k

This listing doesn't post a salary. Most similar roles pay $130,942–$214,500.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 311 open roles on FindRole.

Listed pay typically runs $126,000–$226,000 across 95 roles with salary data.

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At a glance

TL;DR · Staff Analyst

The Staff Analyst joins the Central Sales Analytics team to drive data-informed decisions across the go-to-market organization, including pipeline, productivity, and forecasting. This role functions as both a strategic partner and a hands-on builder, translating ambiguous business questions into structured analytical plans and scalable data products. The successful candidate will perform deep-dive analyses on funnel conversion and territory effectiveness while connecting go-to-market outcomes with product signals and customer behavior. Key responsibilities include building dashboards, reporting layers, and automated workflows to improve decision-making speed. Technical requirements include high proficiency in SQL and Python for data extraction and modeling, alongside an AI-forward mindset to leverage modern technologies for workflow automation. The role addresses the complex intersection of commercial strategy and product performance, ensuring consistent metrics across GTM Tech, Atlas Core, and Emerging Products.

What you'll do

  • Translate ambiguous business questions into structured analytical plans and actionable recommendations for senior leadership.
  • Perform deep-dive analyses on pipeline health, funnel conversion, seller productivity, and forecasting trends.
  • Build scalable dashboards, data models, and automated reporting tools to improve decision-making speed.
  • Use SQL and Python to extract, transform, and model large datasets into repeatable insights.
  • Integrate GTM outcomes with product signals and customer behavior to identify growth opportunities.
  • Apply AI technologies to automate workflows and build scalable insight-generation capabilities.
  • Improve data governance, metric consistency, and the quality of GTM data assets.
  • Partner with cross-functional teams to align commercial strategy with technical and product execution.

What we're looking for

  • Must have 6+ years of experience in Sales, GTM, Revenue, or Business Analytics within a SaaS or high-growth technology environment.
  • Must possess strong fluency in both SQL and Python for data extraction, transformation, analysis, and automation.
  • Ability to translate ambiguous business questions into structured analyses, clear recommendations, and scalable data solutions.
  • Experience building scalable analytics assets including data models, dashboards, automated workflows, and decision frameworks.
  • Proven ability to influence senior stakeholders through clear communication and data-driven insights.
  • Proficiency in using modern AI technologies and platforms to enhance analytical workflows and build scalable insight products.
  • Strong foundation in data modeling, metric design, data quality, and data governance principles.
  • Ability to connect GTM outcomes with product usage, customer behavior, and operational signals.

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