LVCT Health is an indigenous Kenyan non-governmental and not-for-profit organization established in 2001. We are driving Kenya towards HIV prevention, with an ultimate goal of reducing HIV infections to zero. We offer integrated HIV services through development of models that are scaled up to the national models. We also carry out sexual and reproductive health research – translating our research to policy and practice; providing evidence for HIV policy reforms and service delivery; and developing capacities of indigenous organizations in building sustainable human resources for community HIV Prevention. We give special attention to those with greatest vulnerability to infection and with special service needs – including survivors of sexual violence, persons living with disabilities, men who have sex with men, Youth and Sex Workers. Our offices are in Nairobi, Western Region, Eastern and Central Region and Rift Valley.
Job purpose
The Data Manager will provide day to day management of data issues to the project, giving various approaches to data retrieval, cleaning, collation and preliminary data analysis to identify potential data anomalies. The data manager will also support data quality improvement efforts to the project. The incumbent will ensure availability of quality data for surveillance monitoring, evaluation and learning to the organization, the Ministry of Health, funding agencies and stakeholders at both national and county levels.
The position will be contracted initially for one year inclusive of three months’ probation period and renewable thereafter, depending on availability of funding.
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 Ministry of Health.
- Contribute to dissemination of results through peer-review publications.
- Archive data.
- Any other duties as maybe assigned.
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science 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.
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