About Monte Carlo
As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.
Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.
This small, high-impact analytics team moves fast and uses its technical and business skills to help the business understand user behavior. They do it in an engineered way that scales well as the company continually grows in complexity. The team is highly autonomous, collaborative, fun, and deeply competent—building a stand-out analytics function inside one of the most exciting startups in the data space.
You’ll work primarily with US-based Product Managers, but also partner with Technical Account Managers, Marketing and Field Engineering, and any other team that needs someone to bring technical data skills to bear on a business problem.
We’re hiring a Data Analyst who is curious to use SQL and user analytics to uncover insights that guide product decisions and build dashboards that support the day-to-day processes of the business. Product development moves quickly at Monte Carlo, so your work will have an immediate and visible impact on what gets built.
This is a generalist analytics role. Some days you’ll focus on producing insights, other days you’ll build dashboards in Looker, and often you’ll create or update dbt models. You’ll serve as the analytics partner for specific product squads—becoming the expert in their domain, their users, and the data that powers decision-making. The team is highly self-sufficient and continuously expanding its skills into new areas.
Product partnership and analytics ownership: Become the aligned analytics partner for specific product squads; develop deep expertise in what can be tracked, how users behave, and which datasets matter; translate business hypotheses into rigorous analytics and clear, actionable insights
Dashboards and reporting: Build intuitive dashboards and trackers in Looker, Mixpanel, and Fullstory; create easy-to-digest visualizations that Product, TAM, and business teams rely on daily
Data modeling and data quality: Build and maintain dbt models that aggregate core product usage data; improve data usability across Product, TAM, and GTM teams; ensure data remains trustworthy using Monte Carlo
Data expertise and best practices: Develop a deep understanding of Monte Carlo’s data, how it is collected, and how it should be interpreted; partner cross-functionally to steward best practices in analytics and product measurement
1–3 years of experience as a Data Analyst or Product Analyst
Demonstrated ability to turn business questions into actionable analyses
Strong SQL skills and analytical problem-solving ability
Familiarity with at least one modern BI tool (Looker preferred but not required)
An undergraduate degree (or equivalent experience) emphasizing analytical thinking
Hands-on experience with dbt
Experience analyzing user or product behavior
Hands-on knowledge of the modern data stack
#LI-REMOTE
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Come As You Are
Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are proud to be recognized for our world-class employee experience:
Monte Carlo Named 2025 Databricks Data Governance Partner of the Year
We are super proud to be named the 2026 Best Place to Work by Built In!
Beware of Imposter Recruiters and Job Scams
All official communication from our recruiting team will come from an @montecarlodata.com email address.
We will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.
We will never request payment for equipment, training, or application processing.
Our open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.
If you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at [email protected] before sharing any personal information.
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