Data Analyst, User Operations Engineering · · Apply →

Cursor; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Cursor is seeking a Data Analyst to join the User Operations team. You will translate support data into dashboards and analyses that leadership uses to guide decisions across regions and enterprise accounts.

This role sits within Product and Engineering with a dotted line to Head of User Operations and focuses on data and reporting for Support. You will own the reporting layer, enable performance insights, and help close the loop between what users report and what is built, with strong emphasis

Qualifications

• 5+ years of experience in data analytics or analytics engineering.
• Strong SQL skills and ability to build models and transformations (dbt or equivalent).
• Proven track record building production-grade reporting and dashboards.
• Ability to turn vague questions into focused, actionable analysis.
• Clear communication with technical and non-technical stakeholders; autonomous problem solver.

Responsibilities

• 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 enterprise pain concentrates? - into analysis that drives decisions
• Maintain the multi-signal model behind bug and issue prioritization, weighting frequency, breadth, support cost, and sentiment
• Design dashboards for internal operational views and customer-facing views for enterprise accounts
• Own data quality, governance, and reliability across Support data products, including ticketing data
• Surface Voice of Customer trends to Product, Engineering, and GTM

Skills

SQL

Analytics

Dashboards

Stakeholder comm.

Tools

dbt

Job description

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.
SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

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

U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION

(Completion is voluntary and will not subject you to adverse treatment)

Anysphere, Inc. provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

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