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Job Description
Job Title: Data Analyst
Location: 100% Remote
Visa: USC, GC, H1B Transfer, EAD/W2
Interview Process: Recruiter screen (skills & domain fit)
Technical interview (SQL + dashboard case)
Take-home or live exercise (data wrangling + insight deck)
Stakeholder panel (communication & business scenario)
Top Skills: Tableau/Power BI, SQL (Snowflake/BigQuery/Azure SQL or similar), Python/R, Excel, Spark/Databricks (nice to have), Git/Jira/Confluence.
About the Role: We’re seeking a hands-on Senior Data Analyst who can translate business requirements into actionable analytics. You’ll build Tableau/Power BI dashboards and analytical reports, uncover trends in large datasets, and communicate clear insights to leaders and stakeholders.
What You’ll Do
- Translate business needs → analytics solutions: partner with product/ops/finance to frame problems and define KPIs, datasets, and success metrics.
- Build dashboards & reports: design, develop, and iterate Tableau/Power BI dashboards and executive-ready reports per business specs.
- Analyze large datasets: discover trends, patterns, and drivers; perform cohort/segmentation, time-series, and ad-hoc analyses.
- Stakeholder & project leadership: manage day-to-day communication, status, and development plans; run check-ins and synthesize feedback.
- Tell the story: create impactful presentations and documents that convert analysis into decisions and next steps.
- Brainstorm & solutioning: participate in whiteboard/working sessions and propose data-backed solution approaches.
- Bachelor’s or Master’s in a quantitative field (or equivalent experience).
- 6–8 years building analytical reports/dashboards and delivering business insights.
- Strong communication skills; comfortable with executives and cross-functional teams.
- Proficiency with BI tools: Tableau and/or Power BI (data modeling, DAX/LOD, viz best practices).
- Solid SQL; strong tabular data handling/manipulation (joins, window functions, performance tuning).
- Working knowledge of Python or R for data analysis/automation.
- Experience with big-data & cloud tools such as Spark and Databricks (nice to have).
- Excellent problem-solving skills and business acumen.
- Proficiency in MS Office (Excel, PowerPoint; Access a plus).
- Ability to work independently and as part of a team in a deadline-driven environment; accountable for delivering end-to-end.
- Healthcare/Health Insurance (US) domain experience is a plus (claims, eligibility, utilization, risk adjustment, etc.).
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