MongoDBSpecialist, Sales Performance
MongoDB is hiring a Specialist, Sales Performance in Gurugram, India. Level rates it ; you can apply on MongoDB.
Level's read on this job
- On Level's scale, this sales role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Python, SQL and Tableau.
- Level classifies it as a mid-level role.
- Level lists 381 other open roles at MongoDB.
AI in this role
Specialist in Sales Performance responsible for sales analytics, incentive compensation reporting, and process automation at MongoDB.
MongoDB continues to grow incredibly fast. This is the perfect opportunity to have a positive impact at a hyper-growth company. In this high impact role, you will work closely with executives and internal functions including Sales, Sales Operations, Sales Analytics, Deal Desk, Business Systems, Finance and Accounting, and HR to improve and establish processes and systems for our next stage of growth.
This role sits within a newly created team which will link our sales strategy and our sales commission. This team will be under the global sales commission umbrella, in our Finance and Accounting organization. In this role, you will be responsible to provide analytical analyses and administrative support for compensation programs. Specifically, you will be responsible for contributing to the planning, design and reporting of sales performance metrics, driving the business forward by contributing to improving our sales productivity.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Shift: 2:00 PM – 10:00 PM
Key Requirements
- Strong interpersonal skills with a hypothesis-driven mindset, open to feedback in a dynamic business environment
- Excellent communicator, able to simplify complex technical concepts into business terms and KPIs
- Capable of working independently on analytics projects, deriving actionable insights, and coordinating with stakeholders as needed
- Bachelor’s degree in a quantitative field (Economics, Finance, Computer Science, Mathematics, etc.); MBA preferred
- 3–4 years of experience in Consulting, Sales Strategy, or Sales Analytics
- Proficient in SQL and Python with strong spreadsheet skills to analyze large datasets efficiently
- Experience with at least one major BI tool (Tableau, Google Data Studio, Looker)
- Salesforce experience is a plus
Responsibilities
- Analyze large datasets and conduct ad-hoc audits to support business programs
- Design, develop, and maintain processes to generate insights into sales KPIs and incentive compensation plans
- Analyze sales performance data, and partner with Sales Operations, Business Operations, and Commissions team to ensure incentives are paid accurately
- Perform periodic audits on sales and develop processes to drive automation efforts
- Develop visibility tools to enhance sales incentives and improve dashboard visualizations
- Maintain collaborations with key business partners within Sales, Finance and HR businesses
- Serve as a sales performance expert, supporting enablement efforts and handling exception cases
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 3273549590
How we rate this
Specialist, Sales Performance at MongoDB rates 10 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in sales jobs at this level
Pay
- Typical sales job
- $140k
This posting doesn't list pay. Use the typical sales figure when pay comes up. See sales jobs
Questions you could be asked
- Tell me about a project where sales analytics was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where compensation planning was part of your work. What did you do?
- Tell me about a project where process automation was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Sales Analytics, Data Analysis, Compensation Planning, Process Automation, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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