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How much do entry level hmsa jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level hmsa in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.
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Strategic Data Analyst I, Health Data Integration & Analytics

Strategic Data Analyst I, Health Data Integration & Analytics

Hawaii Medical Service Association

Honolulu, HI • On-site

Full-time

Posted 13 days ago

Job description

  1. Strategic Data Analytics and Project Management
    • Understands and aligns enterprise and business unit goals, strategies, and objectives. Works with leadership to identify and prioritize D&A solutions which support goals, strategies, and objectives.
    • Implements and oversees a Scope Management process that identifies, defines, and controls initiatives' deliverables and benefits.
    • Works with business unit, IT, and D&A staff to develop and prioritize D&A business requirements for analytic reports, dashboards, and data cubes and marts.
    • Works closely with business units, IT, and D&A teams to ensure that D&A requirements are adjusted as initiatives evolve and the final D&A solution meets defined requirements.
    • Develops and maintains project scope, plans, timelines, risks, and issues documents.
    • Develops strategies, objectives, and tactics to support enterprise and business unit goals while factoring in resource and other constraints, and HMSA values.
    • Monitors and takes appropriate action to ensure that deliverables are accomplished in an accurate, high-quality, and timely manner.
  2. Cross-Functional Integration and Communication
    • Interacts with corporate and business unit leadership to identify and align D&A activities across business units.
    • Acts as a conduit to bridge the knowledge and understanding gaps among business units, IT, and D&A teams.
    • Facilitates the creation and operationalization of Stakeholder Communication Plans that describe how important information, such as project status, gets communicated to internal and external stakeholders.
    • Excellent communication skills using methods such as: extemporaneous verbal discussions; status reports; written analysis, assessments, and recommendations; oral and video presentations; email messages; and program documentation repositories.
    • Identifies and appropriately escalates issues, risks, and concerns.
    • Represents the Health Data Integration & Analytics department in interactions with both internal and external parties.
  3. Research and Data analysis
    • Provides high quality, objective, and professional analysis of relevant topics.
    • Gathers and analyzes information to identify trends, issues, innovations, and potential problems and solutions for priority business needs.
      • Develops design analysis frameworks
      • Prepares reports
      • Presents results with recommendations
      • Implements solutions
    • Identifies, analyzes, interprets, and summarizes important trends and patterns in complex data sets.
    • Supports business unit reporting.
    • Runs ad hoc analyses for business unit(s).
    • Provides business insight to other internal departments when working on cross-functional initiatives.
    • Performs advanced analytics incorporating techniques like advanced statistics, ML, predictive modeling, and cohort matching.
  4. On a regular, sustained basis, cooperates with other staff members both within and outside the department in accomplishing one's own job duties as well as assisting others in accomplishing theirs.
  5. Performs all other miscellaneous responsibilities and duties as assigned or directed

#LI-Hybrid
  1. Bachelor's degree and two or more years of work experience; or equivalent combination of education and work experience.
  2. Experience working in a collaborative team environment.
  3. Demonstrated ability to successfully interact with people at all levels of the organizations (i.e., entry-level to senior management).
  4. Demonstrated knowledge in identifying issues, collecting data, and analyzing and interpreting information.
  5. Experience in effectively presenting information in formal and informal presentation settings.
  6. Working knowledge of Microsoft Office applications including but not limited to Word, PowerPoint, Excel, and Outlook/Email.
  7. Working knowledge of data science programming languages such as Python, R, and SQL.

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