Data Management Officer (DMO) at Christian Health Association of Kenya (CHAK)

Reporting to the M&E Manager the key duties and Responsibilities:

• Contributes to development and design of methods and procedures for collecting, organizing, interpreting, and classifying information for input into CHAK database.
• Monitor and validate data quality in all EMR systems deployed within supported facilities
• Review and verify accuracy of the MoH and program data for NASCOP, PEPFAR and other relevant stakeholders
• Supports needs assessment activities and works with other MEL staff to determine feasibility of new databases and/or enhancements or modifications to existing databases.
• Contributes to development of specifications for data capture and entry; supervises data entry and cleaning activities ensure consistency, quality, and integrity of data.
• Programs, debugs, and runs a variety of scheduled and ad hoc listings, summaries, statistics, labels, and other electronic and/or presentation reports.
• Provides technical assistance and training to both Program and MOH in the use of personal computers, standard software packages, and relevant information systems.
• Coordinates collation of adhoc data requests by CHAK and PEPFAR
• Consults with and advises program officers and CHMTs on the use and interpretation of MOH data
• Ensures strict adhere to data protection protocols and policies

Minimum Job Requirements

• Diploma in statistics, computer Science/IT studies, epidemiology, or mathematics from a recognized institution
• A Bachelor’s Degree is an added advantage
• Experience in design of DHIS2 Instance for complex integrated USAID projects
• Expert skill level in the use of health aggregate databases (MoH KHIS, CPIMS & DATIM), KenyaEMR and National Data Warehouse
• At least two years of relevant experience in a PEPFAR funded program and familiar with USAID/PEPFAR reporting guidelines
• Demonstrated experience in development of web-based data visualizers and dash boards
• Proficient in at least one statistical analysis package (Epi-Info, R, SPSS and STATA)
• Strong data management and analysis skills.