The Central Sales Analytics team at MongoDB partners closely with our global Sales, Sales Operations, FP&A, Strategy & Planning and Compensation organizations to drive data‑informed decision making. We focus on understanding sales performance, optimizing productivity, improving funnel visibility, and ensuring our teams have access to high‑quality insights. As a Senior Data Analyst II, you will play a key role in shaping how the Sales organization leverages data by building scalable analytics, conducting deep‑dive analyses, and developing data products that guide strategic decisions. This is an opportunity to make a direct impact on MongoDB’s revenue engine while working in a fast‑paced and collaborative environment.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Position Expectations/Role Responsibilities/What you’ll do- Partner with Sales, Sales Operations, FP&A, and Compensation teams to surface insights that improve pipeline health, quota attainment, and overall sales performance
- Build analytical models and frameworks to measure funnel conversion, seller productivity, and commission effectiveness
- Develop high‑quality dashboards and data products that enable self‑service reporting for sales leaders
- Lead deep‑dive analyses on sales performance trends and translate complex data into clear, actionable recommendations
- Collaborate with Data Engineering, Data Architecture, and IT teams to enhance and maintain curated sales datasets
- Support data governance and data quality processes, identifying inconsistencies and resolving root causes
- Present analytical findings to stakeholders across levels, ensuring clarity and alignment on key insights
- 5+ years of experience in Sales Analytics, Revenue Analytics, or a related data analyst role
- Advanced SQL skills and proficiency with Python or R
- Experience analyzing large datasets and developing clear business insights for technical and non‑technical audiences
- Demonstrated ability to create automated dashboards for self‑service use, ideally in Tableau
- Strong understanding of data modeling, data quality, and data governance practices
- Ability to work cross‑functionally and independently drive projects from scoping through execution
- Strong communication, organization, and attention to detail
- Experience working in SaaS, GTM, or high‑growth environments preferred
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 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 - 4263305400
