Remote – Data Analyst || USC, GC, H1B Transfer, EAD || W2

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.

Qualifications & Requirements
• 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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