Note: The job is a remote job and is open to candidates in USA. Anysphere is on a mission to automate coding and is seeking a Data Analyst for their User Operations team. This role involves owning the data and reporting layer for Support, analyzing various metrics, and providing insights that help improve the user experience and inform product decisions.
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 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
Skills
- 5+ years of experience in data analytics, analytics engineering, or a similar role
- Strong SQL skills - this is your primary toolkit - and you're comfortable building models and transformations (dbt or equivalent)
- Built reporting and dashboards in production that people actually depend on, not one-off charts
- Ability to take a vague operational question and turn it into the right analysis without a playbook
- Clear communication with both technical and non-technical stakeholders, and honesty about what the data does and doesn't support
- Self-directed and comfortable owning ambiguous problems end to end
Company Overview
Company H1B Sponsorship