Market Intelligence Analyst

About the Team

The Market Intelligence (MI) pod holds the company’s external market view, encompassing market sizing, economics, competitive investment patterns, vertical trends, and category direction. This team provides the long-horizon market context that informs product strategy, pricing decisions, resource allocation, and GTM focus areas. 

This role can be based out of our Dublin office or remotely in Ireland.

About the Role

We are seeking a finance-literate market strategist who can develop and defend a fact-based view of our market opportunity.

This role is not about simply tracking competitive features. Instead, you will act as a strategic partner to BizOps, Finance, and Product leadership, producing defensible market models and structured analyses that leadership can rely on during planning cycles and prioritization decisions. You must be a rigorous modeler who is comfortable working with imperfect data, making your assumptions explicit, and explaining the "why" behind the numbers to senior stakeholders.

What You’ll Do

• Market Sizing & Modeling: Build and maintain rigorous TAM models with clear assumptions and methodologies to quantify our opportunity and connect market size to revenue potential
• Forecasting & Scenario Analysis: Project market growth and model bull/base/bear scenarios to stress-test our long-term strategy and understanding of category direction
• Competitive Economics: Benchmark public financials, margins, R&D spend, and GTM efficiency to understand the economic health and investment patterns of our competitors
• Strategic Advisory: Translate external signals and data into clear implications for strategy and planning, ensuring leadership understands the business implications of the numbers
• Segment & Vertical Analysis: Evaluate demand, use cases, and growth dynamics by industry or segment to identify underserved vertical opportunities and regional trends
• M&A & Investment Support: Provide quantitative market grounding to support M&A evaluation, diligence processes, and strategic investment decisions

Required Qualifications

• Experience: 4-7+ years of experience in Equity Research (Technology/Software coverage), Investment Banking, Corporate Strategy, or quantitative Management Consulting
• Advanced Financial Modeling: You are in the top 10% of Excel users. You have built complex, dynamic models from scratch (e.g., TAM/SAM/SOM, DCF, or revenue builds) and are comfortable using sensitivity analysis to stress-test your assumptions
• Public Market Literacy: You know how to read a 10-K and 10-Q. You can analyze public competitor financials—benchmarking R&D efficiency, gross margins, and S&M spend—to extract insights about their strategy and health
• Defensible Forecasting: You have experience projecting market growth and building bull/base/bear scenarios based on imperfect data. You do not just "report" numbers; you build the logic behind them
• Thesis-Driven Writing: Your writing style resembles an investment note or strategy memo: concise, data-heavy, and leading with a clear "Buy/Sell" style recommendation for the business
• Executive Presence: You have experience presenting your models to Portfolio Managers, Partners, or Executives and are comfortable defending your methodology against deep scrutiny

Preferred Qualifications

• Background in BizOps, Strategic Finance, or corporate development within a SaaS environment
• Experience in cloud, database, infrastructure, or data platform markets
• Familiarity with SaaS metrics (NDR, Magic Number, Rule of 40) and competitive economics
• Previous experience supporting M&A or investment diligence

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 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: 4263319175