Data Analyst, East (Eastern Time Zone)
Monte Carlo
Location
United States
Employment Type
Full time
Location Type
Remote
Department
SPEDD (Security, Product, Engineering, Design, Data)Data
Compensation
- $160K – $200K • Offers Equity
* Optional for roles with a variable *
The base salary range for this role is listed above annually, plus eligibility for commission.
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Final compensation will be determined based on skills, experience, and location.
At Monte Carlo, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. As the market data changes over time, the targeted salary for this role may be adjusted.
This role is also eligible to participate in Monte Carlo's Equity and Benefits offering, including the following:
Stock Options
Healthcare plans
401k Retirement Plan
Wellness Stipend
Home Office Stipend
Cell Phone or WIFI reimbursement
Paid Parental Leave
Flexible Time Off
Generous Travel Policy
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.
About the Team
This small, high-impact analytics team moves fast and uses their 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. The team is currently three people across EMEA (plus a wider analytics community of another three) and thrives in remote, async work environments.
About the Role
We’re hiring a Data Analyst who is curious to use SQL and user analytics to uncover insights that guide product decisions and build out dashboards that support the day to day processes of the business. Product development moves quickly at Monte Carlo, so your work will immediately influence what gets built.
This is a generalist analytics role; some days you will produce insights, other days build dashboards in Looker, and often create/update DBT models. It is a very self sufficient team that is always keen to expand their skills into new areas. You will serve as the analytics partner for specific product squads—becoming the expert in their domain and the data that powers it.
This role is fully remote within the US.
What You’ll Do
Product Partnership
Become the aligned analytics partner for specific product squads
Become the expert in what can be tracked, how users behave, and which datasets matter
Translate business hypotheses into rigorous analytics and clear insights
Dashboards & Reporting
Build intuitive dashboards and trackers in Looker, Mixpanel and Fullstory
Create easy-to-digest visualizations that the business relies on daily
Data Modeling
Build and maintain dbt models that aggregate core product usage data
Improve data usability for Product, TAM, and GTM teams
Keep data trustworthy using MC!
Data Expertise
Develop deep understanding of Monte Carlo’s data, how it’s collected, and how it should be interpreted
Partner cross-functionally to steward best practices in analytics and product measurement
You’re a Great Fit If You…
Experience
3+ years as a Data Analyst or Product Analyst
Demonstrated ability to turn business questions into actionable analyses
Strong SQL and analytical problem-solving skills
Familiarity with at least one modern BI tool (Looker preferred but not required)
Undergraduate degree (or equivalent experience) emphasizing analytical thinking
Preferred Skills
Hands-on experience with dbt
Experience analyzing user/product behavior
Hands-on knowledge of the modern data stack
Why Monte Carlo
Work on a category-defining product, making data & AI reliable at scale.
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Join a high-growth company recognized as:
One of America’s Most Loved Workplaces (2024)
Inc. Best Workplace (2024)
Top 20 Venture-Backed Org (2024)
Databricks Governance Partner of the Year (2025)
#1 Data Observability Platform on G2 (8 consecutive quarters, 2025)
Low-ego, collaborative culture with a team that genuinely cares about great work.
Strong commitment to diversity, inclusion, and belonging.
#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 recruiting@montecarlodata.com before sharing any personal information.
Compensation Range: $160K - $200K