Data Analyst, Monte Carlo

• 1–3 years of experience as a Data Analyst or Product Analyst, with demonstrated ability to turn ambiguous business questions into structured analyses and actionable insights
• Strong SQL skills and analytical problem-solving ability, with familiarity using at least one modern BI tool (Looker preferred but not required)
• An undergraduate degree (or equivalent experience) emphasizing analytical thinking, quantitative reasoning, and data-driven decision-making
• Comfort working autonomously in a fast-paced, remote, and async environment, with curiosity and motivation to continuously expand your technical and analytical skill set

Desirable

• Reports to: Terry Widger, Data Analyst
• We’re hiring a Data Analyst to join a small, high-impact analytics team that helps the business deeply understand user behavior and make informed product and business decisions through data
• This team operates with a high degree of autonomy and technical rigor, building an analytics function that scales alongside a fast-growing, complex product
• In this role, you’ll primarily partner with US-based Product Managers while also collaborating with Technical Account Managers, Marketing, Field Engineering, and other teams that rely on analytics to solve business problems
• You’ll serve as the dedicated analytics partner for specific product squads—becoming the domain expert in their data, usage patterns, and measurement strategy
• Product development moves quickly at Monte Carlo, so your work will directly and immediately influence what gets built
• Product partnership and analytics ownership: Act as the aligned analytics partner for specific product squads; become the expert in what can be tracked, how users behave, which datasets matter, and how to translate business hypotheses into rigorous analytics and clear, actionable insights
• Dashboards, reporting, and visibility: Build intuitive dashboards, trackers, and visualizations in tools such as Looker, Mixpanel, and Fullstory; create easy-to-digest reporting that Product, TAM, and business teams rely on daily to support decision-making and operational workflows
• Data modeling and analytics foundations: Build and maintain dbt models that aggregate core product usage data; improve data usability, trustworthiness, and accessibility across teams; develop a deep understanding of Monte Carlo’s data, how it is collected, and how it should be interpreted—while partnering cross-functionally to steward best practices in analytics and product measurement