Data Analyst, User Operations

Data Analyst, User Operations

Engineering · Full-time · Remote

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Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.

About the role

The User Operations team owns the support experience for Cursor's users - from individual developers to our largest enterprise accounts. As we've scaled across regions, the volume and richness of our support data has grown faster than our ability to make sense of it. We're looking for a Data Analyst to change that.

This role sits inside our Product and Engineering organization with a dotted line to the Head of User Operations and owns the data and reporting layer for Support. You'll turn ticket data, SLA performance, customer sentiment, and product signal into the dashboards and analysis that leadership uses to run the org - and into the evidence Product and Engineering use to decide what to fix next. Support is one of the clearest signals we have about where the product is working and where it isn't. Your job is to make that signal legible.

What you'll do

Build and own the reporting layer for Support: ticket volume, SLA attainment, resolution times, help center performance, CSAT/CES/sentiment, and capacity utilization across regions and tiers

Partner with Support leadership to turn open questions - "are we getting faster but less accurate?", "where is enterprise pain actually concentrated?" - into analysis that drives decisions

Maintain the multi-signal model behind bug and issue prioritization, weighting frequency, breadth, support cost, and sentiment, so Engineering sees a defensible picture of what impacts users most

Design dashboards for two audiences: internal operational views for managers, and customer-facing views for enterprise accounts

Own data quality, governance, and reliability across Support data products, including our ticketing data and internal commitments

Surface Voice of Customer trends to Product, Engineering, and GTM, and help close the loop between what users report and what actually gets built

You may be a fit if

You have 5+ years of experience in data analytics, analytics engineering, or a similar role

You have strong SQL skills - this is your primary toolkit - and you're comfortable building models and transformations (dbt or equivalent)

You've built reporting and dashboards in production that people actually depend on, not one-off charts

You can take a vague operational question and turn it into the right analysis without a playbook

You communicate clearly with both technical and non-technical stakeholders, and you're honest about what the data does and doesn't support

You're self-directed and comfortable owning ambiguous problems end to end

• 5+ years experience in data analytics or similar role with strong SQL and data modeling skills (dbt or equivalent)
• Proven ability to build reliable, production-level reporting and dashboards used by stakeholders
• Strong communication skills to translate ambiguous questions into actionable analysis for technical and non-technical audiences