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At a glance
Requirements
Credentials this posting asks for.
Job overview
Simular is hiring a Data Analyst Intern. The Data Analyst Intern will analyze agent run data to identify task failures and user sticking points, shaping future product development. This role involves building and maintaining dashboards to track product health, supporting experiment design, and translating analysis into actionable recommendations. The intern will work directly with product and engineering teams.
Key focus areas include Build and maintain dashboards that track product health, Analyze agent run data to find where tasks fail, stall, or need human rescue, and Answer product questions with data.
Successful candidates bring Bachelor's Or Master's Degree In Statistics, Computer Science, Economics, Engineering, Or Related Field, Or Equivalent Experience and Built A Dashboard Or Analysis Someone Else Actually Used. Important skills include SQL, A/B Testing, Communication, and Curiosity. Preferred (not required): Python, R, Product Analytics Tools, and dbt.
Skills & qualifications
Skills
Qualifications
Full job description
Where multiple locations are listed for this role, the position may be based in any of those locations, with priority determined according to the order of listing.
Agents generate an unusual amount of data: every run, every step, every recovery from failure. Buried in that data is the answer to which agent behaviors actually work and where users get stuck. Not enough of it is being read today.
You'll own analysis that shapes what we build next, working directly with product and engineering.
What you'll do
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Build and maintain dashboards that track product health: activation, retention, task success, and agent reliability
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Analyze agent run data to find where tasks fail, stall, or need human rescue
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Answer product questions with data, and be honest when the data can't answer them
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Help define and instrument the events and metrics we should be tracking in the first place
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Support experiment design and read out results without overclaiming
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Turn analysis into recommendations, with a clear view of what you'd do next
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Make your work reproducible so others can build on it
You might be a fit if
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You're pursuing a Bachelor's or Master's degree in Statistics, Computer Science, Economics, Engineering, or a related field, or equivalent experience
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You're solid with SQL and comfortable in Python or R for analysis
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You've built a dashboard or analysis someone else actually used
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You understand the basics of experimentation and are appropriately skeptical of noisy results
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You can explain a finding to someone who won't read the notebook
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You're curious about the product, not just the numbers
Bonus: experience with product analytics tools, dbt, or working with event data at scale
You've read the whole posting — now see how you match it.