Jobs / United States / Anysphere UK Ltd
Data Analyst, User Operations
Anysphere UK Ltd · 🇺🇸 Remote · Remote
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Anysphere UK Ltd
This employer does not appear with approvals in the government data SponsorApply holds.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Anysphere UK Ltd →
About the role
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