Staff Analyst, MongoDB
Analytics
$104-205k
Developer data platform
Job no longer available
Developer data platform
1001+ employees
Job no longer available
$104-205k
1001+ employees
Company mission
To empower innovators to create, transform, and disrupt industries by unleashing the power of software and data.
Role
Who you are
- The ideal candidate will bring advanced analytical capabilities, a passion for solving complex business problems, and the ability to work cross-functionally in a fast-paced environment
- This role requires a high level of ownership over key analytical projects, driving insights that shape strategic decision-making within the Sales organization
- 6+ years of hands-on experience in Sales Analytics, Revenue Analytics, or GTM Analytics, ideally at a fast-growing SaaS or technology company
- Strong expertise in data analysis, statistical modeling, sales reporting, and pipeline analysis
- Advanced SQL skills and proficiency in Python (or R) for data analysis and statistical modeling
- Experience with data visualization tools such as Tableau, Looker, or Power BI
- Strong understanding of data governance, data quality best practices, and AI-driven analytics
- Experience building automated dashboards and self-service analytics tools for sales teams
- Proven ability to translate complex data into actionable business insights and effectively communicate findings to senior leadership
- Experience working cross-functionally with Analytics, Sales, Finance, and Operations teams to drive data-driven decision-making
- Ability to work independently and take full ownership of projects with minimal guidance
- Strong communication and stakeholder management skills
What the job involves
- The Staff Analyst, Sales Analytics will be a key contributor to MongoDB’s centralized Analytics & Data Science team, supporting data-driven decision-making for the Sales organization
- This role will focus on analyzing sales performance, pipeline trends, productivity metrics, and compensation structures to drive strategic insights
- While deeply embedded within the sales function, this position is part of a broader analytics team, ensuring alignment with company-wide data strategy and best practices
- Take full ownership of key analytics projects, driving them from scoping to execution with minimal oversight
- Develop and enhance Sales Analytics reporting frameworks to provide clear visibility into sales performance, pipeline trends, and revenue forecasting
- Define and track KPIs related to sales productivity, funnel efficiency, pipeline health, and overall business impact
- Conduct deep-dive analyses on sales processes, pipeline conversion rates, and customer segmentation to inform sales strategies
- Partner with Sales Operations, FP&A, Sales Commission, and Strategy & Planning teams to analyze sales compensation structures, ensuring alignment with performance goals
- Use advanced analytics and statistical methods to assess sales trends, forecast revenue, and identify opportunities for growth
- Work closely with Data Architecture, Data Engineering, and IT teams to create and manage a curated central repository of sales and product usage data
- Build high-quality data products, such as dashboards and AI-driven insights, to enable self-service analytics across the sales organization
- Develop a keen understanding of stakeholder business strategy and provide actionable insights to optimize people and processes
- Ensure key principles of Data Governance, Data Management, and Advanced Analytics (including AI & GenAI) are implemented across the organization
- Collaborate with other analytics teams to align on data strategy, share best practices, and drive holistic insights across departments
- Communicate analytical findings effectively to non-technical audiences and influence strategic decisions
Our take
MongoDB is an open-source, cross-platform, document-oriented database system. It stores data as JSON-like documents and is written in C++, Go, JavaScript and Python.
Essentially, the company develops tools and blueprints to help businesses and organisations modernise their legacy applications, migrating them to the MongoDB database and the MongoDB Atlas cloud database. With this initiative, MongoDB is particularly taking aim at Oracle customers with ageing applications running on the Oracle relational database system.
Since its release, MongoDB has become one of the most popularly used NoSQL database systems due to its ease of use and efficiency. It is also the fastest-growing database ecosystem, and boasts hundreds of millions of downloads. Recently, the company announced a partnership with Patronus AI, an automated evaluation and security platform, through which it will bring automated LLM evaluation and testing capabilities to enterprise customers.
Freddie
Company Specialist at Welcome to the Jungle
Insights
13% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2015
$80m
SERIES G
Oct 2013
$150m
SERIES F
Total funding: $311.1m
Company benefits
- Rich health insurance coverage
- Virtual & on-site fitness classes
- Health screenings & telemedicine
- Access to transgender-inclusive health insurance coverage
- Global and internal mobility opportunities
- Equity & Employee Stock Purchase Program
- Pension & retirement programs
- Income Protection
- Flexible PTO is offered to every US employee & competitive time off policies for non-US employees
- Employee Assistance Program
- Mental health counseling
- Free meditation app access
- Fertility & adoption financial assistance
- Parental counseling for new parents
- 20 weeks of fully paid gender neutral parental leave & flexible work arrangements
- 4 weeks of emergency care leave
Company HQ
Theater District, New York, NY
Leadership
Dwight Merriman
(Co-Founder)Previously CTO and Co-founder at DoubleClick for 10 years, and Chairman at AlleyCorp for 15 years.
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