[Remote] Data Analyst, User Operations
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on automating coding through innovative research and engineering. They are seeking a Data Analyst to enhance the User Operations team's support experience by creating insightful dashboards and analyses that inform product and engineering reputed company based on user feedback and data.
Responsibilities
- Build and own the reporting layer for Support: ticket volume, SLA attainment, reputed company times, help center performance, CSAT/CES/sentiment, and reputed company utilization across reputed company and tiers
- Partner with Support leadership to turn reputed company questions - "are we getting faster but less accurate?", "where is reputed company pain actually concentrated?" - into analysis that drives reputed company
- 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 reputed company accounts
- Own data reputed company, 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 reputed company the reputed company between what users report and what actually gets reputed company
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)
- reputed company 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 reputed company
- reputed company 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
reputed company
Company H1B Sponsorship