AlphaHire
AlphaHire
2018. gadā dibinātais uzņēmums AlphaHire izstrādā darbaspēka analītikas rīkus kapitālietilpīgām nozarēm, tostarp būvniecības un loģistikas nozarei. Tā darbaspēka analītikas platforma palīdz vadītājiem novērtēt īstenošanas risku, pirms tiek pieņemti lēmumi par projektiem, piedāvājumiem, paplašināšanos, uzņēmumu iegādi, investīcijām un plašākām izaugsmes stratēģijām.

Remote Medicaid Data Analytics Specialist

Analyze healthcare data for AlphaGov, building measures, dashboards, reports, and recommendations for government and public-sector programs.

Apraksts

  • Examine Medicaid claims, encounters, enrollment, eligibility, provider, and program data.
  • Evaluate utilization, spending, access to care, and program results.
  • Clean, verify, and document datasets.
  • Create performance measures, dashboards, and regular reports.
  • Spot trends, data quality concerns, and areas for improvement.
  • Contribute to program evaluations and operational analysis.
  • Describe analytical methods, assumptions, and limitations.
  • Present findings clearly to technical and nontechnical audiences.
  • Handle data in accordance with applicable privacy and security requirements.

Prasības

  • Experience working with Medicaid or related healthcare data.
  • Strong analytical ability and careful attention to data quality.
  • Skill with relevant tools such as Excel, SQL, SAS, R, Python, Power BI, or Tableau; expertise in every tool is unnecessary.
  • Ability to explain findings clearly and relate them to program decisions.
  • Experience documenting analysis so others can follow and review the work.
  • Preferred: Experience analyzing Medicaid claims or encounter data.
  • Preferred: Experience with state Medicaid agency or managed care reporting.
  • Preferred: Background in quality measurement, cost analysis, risk adjustment, or program evaluation.
  • Preferred: Experience with large healthcare datasets and secure analytics environments.
  • Preferred: Familiarity with T-MSIS or other Medicaid data sources.
  • Provide a résumé or professional profile describing relevant datasets, analytical projects, and tools.
  • Exclude confidential client details and protected health information.

Priekšrocības

  • Full-time roles or project-based engagements may be available.
  • Compensation and employment terms are discussed in relation to the opportunity and candidate skills.
  • Opportunities may be current or anticipated.

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