Senior Claims Data Analyst
Listed on 2026-08-30
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Business
Data Analyst, Financial Analyst, Business Analyst
Compensation & Benefits
Typical hiring range: $93,339 - $109,810.
The pay range for this position is annually based on a full-time schedule. Actual compensation will be determined using factors such as experience, skills, training, certifications & education.
SAIF provides a wide range of benefits to employees who work at least 20 hours per week, including health care, retirement savings plans, paid time off, and more.
For additional information about SAIF's total rewards, visit our website at:
Total rewards ()
* Note that eligibility and cost of benefits can vary depending on the number of regularly scheduled hours, and job status such as regular full-time, regular part-time, seasonal, or temporary employment.
Full salary range: $82,360 - $137,265
VeteransWe provide preference to qualifying and disabled veterans.
About usSince 1914, SAIF has been taking care of injured workers, helping people get back to work, and keeping rates low by focusing on workplace safety. Together with our partners, we strive to make Oregon the safest and healthiest place to work.
Job DescriptionMission-driven. Not-for-profit. These are just two reasons SAIF is not your typical insurance company. So, naturally, this is not your typical analyst position.
As our new senior claims data analyst, you’ll be performing high-level analytical functions that have a huge impact on the success of our claims division. You will work with business partners throughout the organization—including internal audit, finance, actuary, underwriting, and policyholder services—to make data-based decisions around our products and services, utilization trends, and our customer experience.
Working individually and with business partners, you'll create and maintain existing reports, build forecasts, and develop analysis to leverage data in new ways. You'll extrapolate data to help drive decisions and create visuals to share with others. You’ll also need demonstrated knowledge of statistical processes and techniques. Strong skills with Microsoft Office tools, especially Excel, are so crucial that we require them.
The same is true for being able to communicate effectively with technical and nontechnical audiences. Strong Tableau or other analytical tool experience is critical. Above all, a passion for data and analysis is a must.
The selected candidate will need to reside in Oregon and could work remotely from their home office. You will travel to our Salem headquarters approximately once per week.
Responsibilities Data Analysis & Reporting:
Plan and conduct operational studies. Compile information and synthesize, analyze, and evaluate complex data and issues to develop and recommend improvements for policies, procedures, programs, and products. Contribute supporting data and recommendations in the preparation of budget, measures, policies, procedures, division and corporate objectives and strategies. Synthesize and analyze complex data and transform it into action-oriented information to drive operational and/or strategic decision-making pare and produce summarized narratives and visualizations that provide insights to inform management and employees in decisions and action.
Communicate clearly and effectively, ensuring information is easily understood by the intended audience. Adapt both written and verbal presentation styles to ensure the audience’s understanding regardless of technical proficiency. Tailor the message to align with the audience’s interests and understanding. Develop, study, and analyze tables, graphs, charts, and other statistics to arrive at logical conclusions about data. Apply analytical and quantitative approach to problem solving.
Convert data into relevant information for monitoring, trending, and evaluating claims operational performance. Monitor data accuracy through upstream and downstream data channels including creation of error reports to ensure accuracy of claims’ data. Collaborate with business partners to resolve data discrepancies and enhance accuracy of data and reports for current and future utilization. Provide ad hoc analytic services to internal and external stakeholders.
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