Data Analyst, User Operations

Skip to contentCursorSign inContactContact salesDownloadCareersData Analyst, User OperationsEngineering · Full-time · RemoteApply↓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 roleThe 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 doBuild 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 tiersPartner with Support leadership to turn open questions - "are we getting faster but less accurate?", "where is enterprise pain actually concentrated?" - into analysis that drives decisionsMaintain 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 mostDesign dashboards for two audiences: internal operational views for managers, and customer-facing views for enterprise accountsOwn data quality, governance, and reliability across Support data products, including our ticketing data and internal commitmentsSurface 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 ifYou have 5+ years of experience in data analytics, analytics engineering, or a similar roleYou 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 chartsYou can take a vague operational question and turn it into the right analysis without a playbookYou communicate clearly with both technical and non-technical stakeholders, and you're honest about what the data does and doesn't supportYou're self-directed and comfortable owning ambiguous problems end to endApply for this roleName*Email*Resume↥ Upload fileLinkedIn URLGitHub ProfilePlease write a short note on a project you're proud of:Will you now or in the future require visa sponsorship to work in the country where this position is located?*YesNoU.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, or disability.We invite all applicants to voluntarily self-identify their race, ethnicity, and gender. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment. Information obtained will be retained in a confidential file and separate from personnel records. This information may only be used in accordance...