Senior Analyst – Data Intelligence (Kaduna)
Evalueserve
Yesterday
Job descriptions & requirements
JOB DESCRIPTION
Role Title
Senior Analyst – Data Intelligence
Location
Nigeria (Kaduna)
Key Responsibilities
1. Data Management & Analysis
- Access and compile data from multiple sources (e.g., HMIS, HEFA, program datasets)
- Clean, validate, and analyze data to ensure reliability and usability
- Conduct basic data quality checks and resolve inconsistencies
2. Dashboarding & Reporting
- Develop and maintain dashboards for facility, LGA, and state-level performance tracking
- Prepare monthly performance review packs highlighting key trends, gaps, and issues
- Translate data into clear insights for decision-makers
3. Monthly Data-to-Decision Cycle Support
- Support preparation for monthly review meetings
- Identify key performance gaps and bottlenecks
- Track decisions, actions, and follow-up status through structured trackers
4. Integration of Data Sources
- Support integration of system data (HMIS, HEFA) with operational tracking data
- Ensure alignment of indicators, reporting periods, and data structures
- Contribute to development of standardized data templates and processes
5. Stakeholder Engagement
- Work closely with DPRS, program teams, and partners
- Support presentation of findings in review meetings
- Facilitate discussions on data insights and recommended actions
6. Continuous Improvement
- Identify opportunities to improve data processes, tools, and reporting
- Support capacity building of government staff over time
- Contribute to strengthening data-driven decision-making systems
Qualifications & Experience
- Bachelor’s or Master’s degree in:
- Statistics, Economics, Data Science, or related field
- 4–7 years of relevant experience in:
- Data analysis, M&E, or health systems work
- Experience working with:
- HMIS / DHIS2 / health program data
- Strong proficiency in:
- Microsoft Excel
- Data visualization tools (Power BI, Tableau, or similar)
Skills & Competencies
- Strong analytical and problem-solving skills
- Ability to translate data into actionable insights
- Good communication and presentation skills
- Ability to work with government stakeholders
- High attention to detail (especially in data quality)
- Comfortable working in dynamic, field-based environments
Preferred Experience
- Experience working with state governments or development partners
- Exposure to health financing or program data systems
- Familiarity with data quality frameworks and reporting systems
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