Job description

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Job details

Remote Opportunity With Publicly Traded Company In Healthcare Space

This Jobot Job is hosted by Sarah Murphy

Are you a fit? Easy Apply now by clicking the Easy Apply button and sending us your resume.

Salary $90,000 - $100,000 per year

A Bit About Us

Founded in 1987, we are a certified Great Place to Work® Company. We are a national provider of industry-leading risk management solutions for the workers’ compensation, auto, health and disability management industries and have been publicly traded since 1991.

As a Data Analyst in finance, accounting, and pricing, you would be responsible for analyzing financial data, evaluating pricing strategies, and providing insights to support decision-making. With 2-3 years of experience, you're expected to have a solid understanding of data manipulation, financial modeling, and statistical analysis using SQL, Excel along with Tableau or Power BI to contribute effectively to the organization's financial success.

Why join us?

A comprehensive benefits package is available for full-time regular employees and includes Medical (HDHP) w/Pharmacy, Dental, Vision, Long Term Disability, Health Savings Account, Flexible Spending Account Options, Life Insurance, Accident Insurance, Critical Illness Insurance, Pre-paid Legal Insurance, Parking and Transit FSA accounts, 401K, ROTH 401K, and paid time off

  • Work REMOTE 4 Days/Wk!

Job Details


  • Demonstrated ability in data analysis with financial data, generally 3-5 years.
  • Proficient in SQL, Excel, along with Tableau or Power BI.
  • Hands-on experience working with financial and accounting data.
  • A curious attitude with close attention to detail and the ability to see the big picture.
  • Able to thrive among business, technical, and accounting partners as well as across senior and junior team members with the same level of respect and clarity.
  • Strong problem-solving skills, ability to drive projects cross-functionally, and keep stakeholders informed.


  • Become subject matter expert for central accounting data models, inclusive of investigating, simplifying, and documenting legacy code.
  • Develop and maintain robust and scalable future accounting data models and data dictionaries for both self-consumption and the broader data analyst community.
  • Build and maintain financial and operational dashboards to identify patterns and trends which will support decision-making across the organization.
  • Collaborate with technical and business teams to implement best practices for data modeling, data governance, and data quality.

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