Public Health Data Analytics Team Lead

DGS Office of External Affairs

Jackson (MS)

On-site

USD 70,000 - 98,000

Full time

11 days ago
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Job summary

Mississippi State Department of Health seeks a Research/Data Analyst Team Lead to provide leadership for data management, QA, performance monitoring, and analytics within the Office of STD/HIV.

The role directs collection and analysis of STD/HIV data to support statewide planning and compliance, supervising staff and leading development of reports and dashboards for trend identification and data-informed decisions across prevention and care programs.

Qualifications

  • Bachelor's degree and 5-7 years of related experience.
  • Knowledge of data analysis, data quality, and performance monitoring principles.
  • Ability to interpret data, identify trends and gaps, and support program planning.
  • Knowledge of public health reporting requirements and program monitoring processes.
  • Proficiency in data systems, reporting tools, and spreadsheets.
  • Strong organizational, communication, and supervisory skills.

Responsibilities

  • Lead data management, quality assurance, performance monitoring, and analytics.
  • Direct collection and analysis of STD/HIV data for statewide planning and compliance.
  • Supervise staff and develop reports and dashboards to identify trends.
  • Support data-informed decision-making across prevention and care programs.

Skills

Data analysis
Performance monitoring
Supervisory skills
Trend identification
Data quality
Program planning
Communication

Education

Bachelor's degree

Tools

Data systems
Reporting tools
Spreadsheets

Job description

Mississippi State Department of Health seeks a Research/Data Analyst Team Lead to provide leadership for data management, QA, performance monitoring, and analytics within the Office of STD/HIV.

The role directs collection and analysis of STD/HIV data to support statewide planning and compliance, supervising staff and leading development of reports and dashboards for trend identification and data-informed decisions across prevention and care programs.

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