Data Analyst || W2

HYR GLOBAL SOURCE INCTampa, FL, United States

2 days ago

Job type

Full-time

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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.

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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Data Analyst • Tampa, FL, United States