Data Analyst - Preconception Care

As a part of the larger Monitoring Evaluation and Research team, the Data Analyst will be responsible for the following duties:

• Data Collection and Validation:

• Collaborate with project teams to ensure accurate and consistent data collection from various project activities and sites.
• Implement data validation processes to maintain data accuracy and integrity.

• Data Analysis and Interpretation:

• Employ statistical techniques and analytical tools to process and analyze project data.
• Translate complex data into meaningful insights, trends, and actionable recommendations

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• Dashboard Development and Reporting:

• Collaborate with the MEL team to design and develop dashboards and reports that communicate project progress and impact.
• Present data findings to diverse stakeholders in a clear and concise manner.

• Impact Assessment and Evaluation:

• Participate in impact assessments and evaluations, providing analytical support to assess the effectiveness of project interventions.
• Collaborate with teams to measure project outcomes against established indicators.

• Quality Control and Assurance:

• Implement quality control measures to ensure accuracy and consistency of data analysis and reporting.
• Validate data outputs and troubleshoot discrepancies as needed.

• Collaboration and Support:

• Collaborate closely with project teams, including the MEL team, to address data-related inquiries and challenges.
• Provide data-related technical support to improve data quality.

• Continuous Improvement and Innovation:

• Stay updated on emerging data analysis techniques and tools, seeking opportunities for innovation.
• Participate in efforts to streamline data analysis processes for increased efficiency
• Perform any other duties as assigned by the supervisor

• Bachelors degree in statistics, data science, public health, or a related field.
• A minimum of 5 years of experience in data analysis, preferably within the public health or development sector.
• Proficiency in data analysis software such as Excel, SPSS, or Python.
• Strong analytical skills and ability to extract insights from complex datasets.
• Proficiency in data visualization tools and techniques.
• Effective communication skills, with the ability to present technical findings to non-technical audiences.
• Detail-oriented with strong organizational skills.
• Experience with monitoring and evaluation (ME) systems is advantageous.
• Proficiency in written and spoken English is essential.