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Monte Carlo

Data Analyst, East (Eastern Time Zone)

Posted 3 Days Ago
Remote
Hiring Remotely in United States
160K-200K Annually
Mid level
Remote
Hiring Remotely in United States
160K-200K Annually
Mid level
As a Data Analyst at Monte Carlo, you'll use SQL and user analytics to provide insights for product decisions, build dashboards, and create data models while collaborating with various teams to improve data usability.
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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 DoProduct 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.

  • 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 [email protected] before sharing any personal information.

Top Skills

Dbt
Fullstory
Looker
Mixpanel
SQL

Monte Carlo New York, New York, USA Office

12 E 49th St, New York, NY, United States, 10017

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