Data Analyst, East (Eastern Time Zone)

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.

Location: United States (Remote – Eastern Time Zone)
Team: Analytics
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

• 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

• Hands-on experience with dbt, analyzing user or product behavior, and working with the modern data stack

• Salary: $[Range] + equity

• Full benefits, generous PTO, parental leave, and wellness support

• Remote-friendly culture with team offsites and learning & development budget

#LI-REMOTE

#BI-REMOTE

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 to American's Most Loved Workplace List 2024

Monte Carlo Named an Inc. Best Workplace for 2024

Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024

Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024

Monte Carlo Named the 2025 Databricks Governance Partner of the Year

Monte Carlo #1 Data Observability Platform G2 for 8th Consecutive Quarters 2025

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.