Requirements

Additional Requirements

6+ years of experience in Sales Analytics, GTM Analytics, Revenue Analytics, Business Analytics, or a closely related field
Strong fluency in both SQL and Python; both are core requirements for success in this role
Proven ability to work with large, messy datasets and translate complex analyses into clear business insights and recommendations
Strong background supporting go-to-market, sales, revenue, customer, or commercial organizations in a SaaS or high-growth technology environment
Demonstrated ability to work across business and technical teams and influence decisions through data, structured thinking, and clear communication
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 in a way that drives action
Strong foundation in data modeling, metric design, data quality, and data governance principles
Ability to independently lead ambiguous, cross-functional projects from problem framing through delivery and stakeholder adoption
Excellent communication and stakeholder management skills, including the ability to influence senior audiences with data
Hands-on experience using modern AI technologies or platforms to enhance analysis, improve productivity, or build scalable analytical capabilities
Strong ownership mindset with the judgment to know when to go deep, when to simplify, and how to drive impact across functions
Experience working across both GTM analytics and product analytics contexts
Familiarity with product telemetry, customer health signals, usage trends, or product-led growth motions
Experience partnering with Product, Engineering, Data Engineering, or GTM Systems / GTM Tech teams
Experience supporting Atlas Core, Emerging Products, or similarly technical product portfolios
Track record of building internal analytical tools, automation, or data products that scale beyond a single stakeholder group
Experience applying experimentation, forecasting, machine learning, or advanced statistical methods in business settings
Experience with Tableau or similar BI tools
Familiarity with Salesforce and other core GTM systems

Why this role matters

This role will help shape how MongoDB uses data to make better decisions across the revenue engine. The person in this seat will influence how we measure performance, identify growth opportunities, improve operational execution, and connect GTM outcomes more tightly to customer behavior, product adoption, and emerging opportunities across the business.

By combining strong business judgment, deep technical analytics capability, and an AI-forward approach, this analyst will help MongoDB move faster, make better decisions, and build scalable insight capabilities that benefit teams well beyond Sales Analytics.

Responsibilities & Context

The Central Sales Analytics team at MongoDB sits at the center of how we understand and improve the performance of our revenue engine. While this role is rooted in Sales Analytics, its scope is broader and spans key parts of the GTM organization. This team partners closely with Sales, Sales Operations, Strategy & Planning, FP&A, Compensation, GTM Tech, and other cross-functional stakeholders to drive data-informed decisions across pipeline, productivity, forecasting, product adoption, and overall business performance.

We are looking for a Sr/Staff Analyst who can operate as both a strategic thought partner and a hands-on builder. This person will lead high-impact analytics work, translate ambiguous business questions into clear analytical plans, and develop scalable data products that help leaders make better decisions faster. The right candidate combines strong business judgment with deep technical fluency in SQL and Python, and is comfortable influencing senior stakeholders while independently driving complex work from scoping through execution.

This role also sits at an important intersection of GTM, Product, and Technology. In select cases, this person will work with Product and Technical teams to connect GTM insights with product signals and customer behavior, especially across GTM Tech, Atlas Core, and Emerging Products. There is also a strong expectation that this person brings an AI-forward mindset, using leading AI technologies and platforms to accelerate analysis, improve workflows, and build scalable insight-generation capabilities.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID- 2273499492

Key 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 that sit 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 in ways that improve insight generation and strategic alignment
Build scalable dashboards, datasets, reporting layers, analytical frameworks, and self-service tools that raise the quality and speed of decision-making
Use SQL and Python as core tools for data extraction, transformation, analysis, automation, modeling, and repeatable insight generation
Apply leading AI technologies and platforms to improve analytical workflows, accelerate discovery, and develop scalable data and insight products that can be reused across teams
Present findings to stakeholders across levels, including senior leaders, with a strong focus on clarity, business impact, and actionability
Partner with Data Engineering, Data Architecture, IT, and adjacent analytics teams to improve the quality, usability, and scalability of sales and GTM data assets
Strengthen data governance, metric consistency, and reporting reliability by identifying root causes of data issues and driving durable improvements
Raise the analytical bar for the team by improving processes, sharing best practices, and mentoring other analysts where appropriate

Staff Analyst

Summary

Requirements

Additional Requirements

Responsibilities & Context

Key Responsibilities

Skills & Expertise

Compensation & Other Benefits

Workplace

Employment Status

Job Location

How to Apply

Company Information

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Summary

Requirements

Additional Requirements

Responsibilities & Context

Key Responsibilities

Skills & Expertise

Compensation & Other Benefits

Workplace

Employment Status

Job Location

How to Apply

Company Information

Report this Job / Company (রিপোর্ট)

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