- Location
- Toronto · New York City
- Workplace
- Hybrid, Onsite
- Type
- Full-time
- Seniority
- Entry
- Experience
- 2+ years
- Source
- Custom
Description
MongoDB is seeking a Senior Analyst on the Pricing & Monetization team to help shape how we deliver products and drive sustainable revenue growth. In this role, you will sit at the intersection of product strategy, engineering, analytics, finance, and business operations, working closely with internal stakeholders to identify and translate ambiguous business problems into structured product recommendations.
This position requires a driven self-starter who is able to communicate clearly and effectively with leadership and successfully juggle multiple priorities. You take tasks from start to finish, are able to deliver value quickly, and enjoy working in a dynamic, fast-paced, and challenging environment. You are interested in both diving deep into product data and also extracting executive-level insights to drive strategic decision-making.
This role is a hybrid / in-office role, with approximately three days per week in our New York City Office.
Responsibilities
- Evaluate and propose pricing and packaging for new product launches and for adjustments to existing offerings, including analyzing historical customer data, building business cases, and evaluating trade-offs
- Build financial and operational models (e.g. revenue, margin, customer cohorting, usage models) to quantify the impact of pricing and monetization decisions and support key product decisions
- Partner with Finance, Engineer, Product Management, and GTM to develop and execute cohesive strategies that align with customer needs, product roadmap, and financial objectives
- Communicate strategic insights and recommendations to leadership
- Conduct competitive benchmarking to understand market dynamics and R&D investment opportunities
- Drive cross-functional execution to operationalize decisions around SKUs, billing, selling, tooling, and performance of product changes
- Collaborate with Engineering to understand infrastructure costs, technical dependencies, and architecture decisions, translating these inputs into unit economics and pricing models
Requirements
- BA/BS in a quantitative field
- 2-5 years of experience in strategy, business operations, or financial analysis and operations, preferably as a management consultant or at a data-driven product/technology company
- Proven track record of using data to drive business decisions including the ability to structure problems for analysis
- Excellent communication skills with the ability to synthesize strategic insights in an actionable and compelling manner
- Advanced Excel and Google Slides or PowerPoint skills
- Confidence using SQL for fetching and manipulating data; experience with a scripting language such as Python is a plus
- Ability to move quickly and iterate on analyses
- Comfort with ambiguity, solving complex problems, and working in a self-guided manner
- Interest in the intersection of product strategy, finance, and business operations
Success Measures
- Within 1 month, get up to speed on the analytical tools we use, the products we offer our customers, and our market and competitors
- Within 2 months, begin partnering with cross-functional teams on initiatives that support our product pricing and packaging strategies
- Within 3 months, scope and launch your first major business case, with input from your team and cross-functional stakeholders
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.
REQ ID: 4273616033
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.