Senior Data Analyst positions focus on delivering results in their domain. This page aggregates open Senior Data Analyst roles and what employers typically expect.
**Pay Range:** Salary commensurate based on experience and education. **Benefits Eligible:** Yes **Work Schedule:** Monday – Friday, 8:00 a.m. to 5:00 p.m. **Travel:** Not required | **Position Introduction:** The University of Oklahoma College of Medicine Physician Associate Program is seeking a motivated, detail-oriented Senior Data Analyst to support program evaluation, accreditation reporting, and data-driven decision-making in a collaborative academic healthcare environment. This position plays a key role in managing and analyzing program data to support operational effectiveness, continuous improvement, and accreditation readiness. Candidates with strong analytical skills, experience with reporting and data management, and a passion for supporting educational excellence are encouraged to apply. [**View the full job description.**](https://apps.hr.ou.edu/JobDescription/Home/Details/7116) | | --- | | **Required Education and Experience:** Bachelor's Degree 48 months experience as a Data Analyst or in related field. **Equivalency/Substitution:** Will accept 48 months data analysis, business analysis experience in lieu of the Bachelor's Degree for a total of 96 months experience. | **Hiring Contingent Upon a Background Check:** Yes
Salary estimate
$145,000 – $195,000/yr
Provided by the employer.
Skills for this role
Data Analysis
Resume tips for Senior Data Analyst applicants
Lead with measurable achievements relevant to Senior Data Analyst (numbers, scope, impact).
Mirror the exact keywords from the Senior Data Analyst posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Python, SQL, Tableau, Looker).
Keep it to one page for early-career, two pages for senior Senior Data Analyst candidates.
Interview preparation
Prepare concrete STAR-format stories that show Senior Data Analyst outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Senior Data Analyst problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
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