Specific responsibilities

• Lead retrieval, cleaning, collation and organization of data from various sources and organizing it to answer various research questions and for population of summary reports
• Support development of tailored dashboards and reports for specific audiences depending on their data use needs for program performance assessment and decision making
• Write and run appropriate queries from the databases and assist in implementing database developments that meet the data requirements for the project
• Test any new data management processes and systems, and advice the HMIS unit on ways to improve them
• Prepare quarterly, semi-annual and annual data summaries to be included in reports to the Ministry of Health and funding agencies
• Contribute to the design of collection protocols and/or SOPs Design and approve forms for data collection
• Support quality improvements by performing descriptive data analysis and data quality assurance checks to detect anomalies and advise the quality improvement teams with action points
• Contribute to data quality capacity building efforts within the organization and the counties departments of Health
• Contribute to dissemination of results through different for a and peer-review publications Archiving of data in accordance with the standard procedures
• Any other duties as maybe assigned as may be necessary for effective project delivery

Qualifications

• Bachelor’s degree in statistics, mathematics, or related fields is required. Additional Master’s degree in public health, epidemiology, demography, data science, statistics, or biostatistics will be an added advantage
• Must have least four (4) years of experience in statistical computing with quantitative heath data
• Must be proficient in MS Excel and at least two statistical software packages e.g. Stata, R, SAS, SPSS, and EpiInfo
• Must be able to write and run queries for management and retrieval of data from databases, e.g. MySQL scripting language syntax
• Understanding of routine health data and health information systems in Kenya
• Understanding of data quality assessment tools and methods, and experience in addressing data quality issues related to routine health information data
• Proficiency in analyzing and interpreting routine and non-routine data, and effectively communicating results and findings
• Knowledge of data analytics and visualization tools, techniques, and methods
• Excellent problem-solving skills, ability to work with all levels of internal staff and ability to be flexible in handling multiple priorities

Interested and qualified candidates are invited to submit their applications and CV along with a cover letter expressing interest and indicating Salary history and expectations to [email protected] . The position applied for and reference number should be clearly indicated on the subject line and cover letter.

The closing date is September 07, 2022 . Only shortlisted candidates will be contacted.