Strategic Data Analyst I, Health Data Integration & Analytics

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Company: Hawaii Medical Service Association

Location: Honolulu, HI 96817

Description:

  • 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.
  • 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.
  • 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.
  • 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.
  • Performs all other miscellaneous responsibilities and duties as assigned or directed

    • #LI-Hybrid

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

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