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Data Analyst (Advisor) (Remote - US)

ExecutivePlacements.com

Salary not specified
Oct 26, 2025
Remote, US
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Leverage data analytics to improve healthcare outcomes for vulnerable populations by supporting a Population Health Management initiative.

Requirements

  • Proficiency in SQL, Python, R, or similar data analysis tools.
  • Experience in data administration, repository management, and data warehousing standards.
  • Knowledge of healthcare data standards such as HEDIS, PHM, and Health Quality measures.
  • Experience collecting, analyzing, and reporting HEDIS or similar healthcare data.
  • Familiarity with security software, domain structures, user authentication, and digital signatures.
  • Strong analytical and problem-solving skills for investigating technical issues.
  • Experience with data visualization tools such as Tableau or Power BI.

Responsibilities

  • Design, implement, and maintain complex databases while ensuring data security, integrity, and compliance.
  • Develop dashboards, ad-hoc reports, and analytics to support healthcare initiatives and decision-making.
  • Review and validate data requirements, documentation, and standards to meet client expectations.
  • Apply data modeling techniques to optimize database structures for efficiency and scalability.
  • Monitor and update data procedures to reflect evolving market and client needs.
  • Investigate and resolve technical issues, ensuring database performance and accuracy.
  • Contribute to the continuous improvement of data analytics processes and capabilities.

Other

  • 4+ years of experience in programming or data analysis.
  • Provide guidance and mentorship to less experienced team members.
  • Research client objectives and tailor data solutions to meet specific business needs.
  • Communicate effectively with clients and internal teams regarding updates, discrepancies, and progress.
  • Excellent written and verbal communication skills for client and team interaction.
  • Ability to mentor junior team members and work collaboratively in a fast-paced environment.
  • Remote work flexibility within PST timezone.