Senior Data Analyst

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

What you’ll 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

What we’re 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

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 AI-native startups and approximately 75% of the Fortune 100, 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.

Requisition ID 3273600208