Kodiak Solutions

Senior Data Analyst

Kodiak Solutions Chicago, Illinois, United States

Technology, Information and Media · 201-500 employees

6 d ago
data-analyst Mid (2-5 yrs) Full-time United States
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About the role

The Senior Data Analyst will manage revenue cycle data analytics projects and provide process improvement solutions using Kodiak's technology. They will collaborate with internal and external stakeholders to ensure data quality and translate insights into actionable business strategies.

What they look for

SQL Data Analysis Revenue Cycle Management Data Visualization Excel Process Improvement Healthcare Finance Data Quality Workflow Design Automation Communication Time Management System Analysis Stakeholder Management Reporting

Requirements

Candidates must hold a bachelor's degree in Business or Analytics and possess at least 2 years of experience in professional services or consulting. Strong proficiency in SQL, data visualization tools, and healthcare finance data is required.

Full description

The next step in your journey starts now:

Our mission is to simplify complex business problems through technology, data, and industry expertise.

At Kodiak, we’re proud to stand out in the industry as a technology company powered by data and unparalleled expertise. For nearly 20 years, Kodiak (formerly part of Crowe LLP) has worked with health system finance leaders to identify clear paths forward in building stronger, more financially sustainable, and efficient organizations.

Our team collaborates with leaders at 40% of the country’s healthcare systems, especially those working in net revenue, revenue cycle, risk, and compliance. With a commitment to the well-being of patients and our shared communities, we pride ourselves on creating long-term value for our customers at every touchpoint.

This position will be responsible for day-to-day work tasks for revenue cycle data analytics projects and utilize technical and interpersonal skills to assist internal and external clients. Using Kodiak’s technology and data, you will provide high-quality analysis and process improvement solutions that enhance our client's revenue cycle. You will have the opportunity to work closely with all levels of client management and play a significant role in ensuring accurate and insightful data quality in our engagements.

Qualifications:

  • Bachelor's degree in Business, Analytics, or Bachelor of Science degree is required (an MBA, MHA, and/or MPH is a plus).
  • Strong proficiency in SQL is required, including compiling, querying, validating, analyzing, and optimizing large, complex datasets using advanced SQL techniques such as joins, subqueries, CTEs, and window functions to support analytics and reporting insights.
  • Strong experience with data visualization tools is necessary; Sigma/Power BI is a plus.
  • Relevant, in-depth revenue cycle experience is a plus.
  • Experience working with Revenue Cycle/Healthcare finance data.
  • Intermediate to Advanced Excel skills required.
  • Ability to translate data insights into slide decks and dashboards highlighting key stories.
  • 2+ years of experience working in professional services and/or consulting.
  • Strong financial, analytical, technical, and interpersonal skills.
  • Excellent written and verbal communication skills, including the ability to communicate complex technical concepts and business impacts to diverse audiences, including executives and stakeholders.
  • Highly organized, flexible, and adaptable with strong time management skills.
  • Experience partnering with stakeholders to assess current processes and design improved workflows that enhance operational effectiveness.
  • Demonstrated willingness to dive into existing processes, understand end‑to‑end workflows, and drive automation initiatives that reduce manual effort.
  • Must have a strong attention to detail and ability to work both independently and collaborate with others in a team-oriented environment.
  • Ability to multi-task and work both independently and within internal teams and customers.
  • Experience in system analysis, design, building, testing, and implementation is preferred.

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