Senior Data Analyst
Join MongoDB as a Senior Data Analyst to drive data-informed decision making at the executive level in a hybrid work environment.
Posted by employer 3 days ago
First seen on Joblaze 3 days ago
Last verified on the company career page 4 hours ago
What you'll build
- Deep dive on performance metrics
- Produce insights for reporting periods
- Own delivery of consumption and revenue reports
- Identify and fix data quality issues
- Document metric definitions and report logic
Must have
- 4+ years in an analyst, data, or BI role
- Strong SQL skills
- Working proficiency in Python
- Hands-on Tableau experience
Nice to have
- Experience with consumption-based revenue data
- Exposure to analytics engineering practices
Practical constraints
- Candidates must be based in Gurugram
Requirements
- Experience
- 4+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
The Senior Data Analyst at MongoDB focuses on analyzing performance metrics to identify growth drivers and support executive decision-making. Key skills include strong SQL proficiency, experience with Python for data manipulation, and familiarity with BI tools like Tableau. This role is ideal for candidates with over four years in analytics or business intelligence, particularly those experienced in subscription or usage-based revenue models. The position offers high visibility and collaboration with senior leadership, enhancing the impact of data-driven insights across the organization.
Joblaze insights
- Listed 3 days ago — first seen on Joblaze September 30, 2026. Last confirmed on MongoDB's careers page October 3, 2026.
- This exact title is also open at 1 other location at MongoDB: United States.
Quick facts
- Is the Senior Data Analyst role remote?
- It's hybrid — MongoDB expects some on-site time in Gurugram.
- How much experience is required?
- At least 4 years of relevant experience for this Senior Data Analyst role.
- Where is the role based?
- MongoDB is hiring for this position in Gurugram.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Python, SQL, Tableau.
- What seniority level is this role?
- MongoDB targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Analyst role at MongoDB.
From the original posting
This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business.
You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics.
Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Responsibilities
- Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level
- Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days
- Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders
- Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies
- Document metric definitions, report logic, and data lineage
Skills & Attributes
- The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement
- 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting
- Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar)
- Working proficiency in Python for data transformation, automation, or analysis
- Hands-on Tableau or similar BI tool experience
- Experience with agent-driven development practices
- Experience working with consumption-based or usage-based revenue data (subscription, metered billing, or usage analytics a strong plus)
- Nice-to-have: exposure to analytics engineering practices (dbt, data modeling, testing frameworks)
- And most importantly, passionate about using data to help guide strategic decision making
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.
MongoDB is an equal opportunities employer.
Req ID: 3273559476
Standard company text repeated across MongoDB's postings is omitted here.