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Marathon Health

Financial Data Analyst

Marathon Health

Financial Data Analyst transforming raw data into insights for operational efficiency and patient service outcomes at Marathon Health. Collaborating with finance and clinical leaders to design dashboards and improve data processes.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $70,000 - $95,000 per yearWebsite

Tech Stack

Tools & technologies
Amazon RedshiftMySQLPythonSQLTableau

About the role

Key responsibilities & impact
  • Develop, maintain, and optimize SQL‑based data pipelines, queries, and reports to support financial and operational analytics.
  • Prepare and analyze financial, operational, and clinical datasets to support budgeting, forecasting, variance analysis, and strategic planning.
  • Build dashboards and data visualizations (e.g., Power BI, Tableau, Excel) to help leaders interpret trends and KPIs.
  • Partner with Finance to improve data quality, automate reporting processes, and enhance analytical capabilities.
  • Perform ad‑hoc analyses to support strategic initiatives, cost optimization efforts, and performance improvement projects.
  • Translate complex data findings into clear, actionable recommendations for financial and operational stakeholders.
  • Ensure data governance, integrity, and security standards are upheld across reporting processes.
  • Collaborate cross‑functionally with IT, Revenue Cycle, and Operations teams to align on data definitions and reporting needs.

Requirements

What you’ll need
  • Bachelor’s degree in Finance, Data Analytics, Information Systems, Healthcare Management, or a related field and 2–5 years of hands‑on SQL experience, including writing complex queries, joins, CTEs, and stored procedures or equivalent combination of education and experience.
  • Strong experience working with relational databases (e.g., SQL Server, Snowflake, Redshift, MySQL).
  • Proficiency in data visualization tools (Power BI preferred; Tableau or Qlik acceptable).
  • Advanced Excel skills, including pivot tables, Power Query, and data modeling.
  • Demonstrated experience working with large datasets and building automated reporting workflows.
  • Strong analytical, problem‑solving, and critical‑thinking abilities.
  • Ability to communicate insights effectively to both technical and non‑technical audiences.
  • Experience in healthcare services, managed care, population health, or revenue cycle analytics.
  • Familiarity with financial reporting, budgeting, or FP&A processes.
  • Exposure to Python or R for data transformation or statistical analysis.
  • Understanding of HIPAA, PHI handling, and healthcare data compliance requirements.
  • Detail‑oriented with strong organizational skills.
  • Comfortable working in a fast‑paced, evolving environment.
  • Collaborative team player who can also independently manage priorities.
  • Curious, proactive, and eager to improve processes and outcomes.

Benefits

Comp & perks
  • Comprehensive Health & Wellness Benefits: Choice of 2 medical plans, 2 dental plans, and vision coverage, unlimited free mental health benefits and EAP resources, Rewards for challenges and healthy lifestyle activities
  • Family Friendly & Reproductive Health Benefits: Family-building and hormonal health benefits and paid parental leave
  • Time-Based Benefits: Generous PTO or FTO, Paid Holidays + A Day for What Matters
  • Financial Support: Company paid Basic Life and Disability insurance, Supplemental Life, Spending Accounts, 401(k) with employer match and graded vesting
  • Continuing Medical Education (CME) for maintaining and strengthening the knowledge, skills, and expertise of our health center teammates, as applicable

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLdata pipelinescomplex queriesjoinsCTEsstored proceduresdata visualizationExceldata modelingPython
Soft Skills
analytical skillsproblem-solvingcritical thinkingcommunicationdetail-orientedorganizational skillscollaborationindependencecuriosityproactivity