Senior Data Analyst
MongoDB is hiring a Senior Data Analyst in Gurugram, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- MongoDB has 361 other open roles on Level.
- Posted in the last few days.
AI in this role
MongoDB’s Analytics team partners across go-to-market and Product to help the business make better decisions. We work with Sales, GTM Operations, FP&A, CRM Technology, and Product teams to connect data at a granular level, understand performance, and identify opportunities to improve how we operate.
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. You’ll contribute to analytics and reporting that make complex information easier to understand and act on.
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
How we rate this
Senior Data Analyst at MongoDB rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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- $114k
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