Reports to: Deputy Director – Science and Informatics
Reporting to the Deputy Director – Science and Informatics, this role will drive KCCB KARP’s DDIU agenda through quantitative, qualitative, and bio-statistical methods, including cohort, trend, and time to event analyses. S/he will lead KCCB KARP’s data analysis and contribute actively to the use of data to inform program implementation, advocacy and planning. S/he will work in close collaboration with the Ministry of Health (MOH), site teams and KARP staff.
The DDIU Advisor will be skilled in mining data, and the application of inferential statistical methods to convert clinical and public health data into information for evidence-informed programming. S/he will be well versed with the use of data mining tools, such as SQL and Access, and statistical applications, such as SAS and SPSS. S/he will work closely with the SI Advisor and Regional Data Managers to support outcome measurement activities and ensure that data analyses support information needed by sites and KARP TA team to answer key questions and support decision making, and for quality improvement
Description of Key duties
- Promote Data Demand and Information Use culture within KCCB KARP Program;
- Lead efforts to obtain, analyse and visualize data in ways that meet the information needs of targeted data users within KARP, LPTFs, donor as well as MOH;
- Work with the SI Advisor to mine data from disparate county data systems to:
- Continuously use data for quality improvement;
- Routinely review data for use to improve service delivery and clinical/public health decision support.
- Increase the use of gender and age-disaggregated data in particular, and inferential statistics in general for evidence-informed management of the program.
- Inculcate a culture of data demand and use, including the provision of routine high-level statistical analyses.
- Drive the performance dashboard review forums within KARP, regional teams, and sites;
- Assist LPTFs and regional teams to take ownership of their data and to analyze, share and use their data to drive decisions and quality improvement initiatives in all program areas;
- Work with KARP technical team and facility level teams to institutionalize DDIU tools, training curricula and approaches;
- Work across results areas to incorporate data use activities at project, management, facility/services, and community/advocacy levels.
- Ensure DDIU Trend analysis are routinely / quarterly disseminated and encourage use of them at both central, regional and LPTF levels;
- Train KARP TA team and LPTF staff in DDIU basic trend analysis /updating trends;
- Synthesize reports of progress against the Log Frame indicators and targets;
- Lead routine analysis of program data in preparation for data summaries for research abstracts and manuscripts.
- Co-design supportive supervision visit guidelines for the use of program data in decision making and build capacity of others to coach in data use promotion;
- Co-develop and conduct a regional rapid assessment of the organizational, technical and behavioral factors that affect decision making and building evidence on what works and what doesn’t when building and strengthening program information utilization;
- Review and propose additions /edits to existing data collection training materials and guidelines for data management and use;
- Coordinate and support program-led DDIU capacity building efforts;
- Engage with other implementing partners in regional capacity building efforts;
- Provide updates to the KARP team on work progress and contribute to activity reporting and success stories as needed;
- Provide regular feedback to senior technical managers, program and technical staff, on successes, challenges and lessons learned in implementation related to areas of technical expertise.
- Author and co-author abstracts and presentations for journals and conferences.
- Any other duties that may be reasonably assigned.
Academic Qualifications and Experience
- Masters Level of Education in related field, e.g. MSc (Epidemiology/Biostatistics/Biometry).
- 3+ years’ experience in an analytic/statistical position for a PEPFAR project
- Comprehensive knowledge and understanding of PEPFAR reporting requirements.
Knowledge and Skills
- Appropriate software skills necessary to mine data from databases, such as SQL, or equivalent
- Appropriate software skills necessary to conduct, analysis of study data, such as STATA, SPSS, or equivalent
- Strong written and oral communication skills for high-level policy audiences (writing examples may be required)
- Excellent coordination, and information management skills
- The ability to work well under pressure and skilled in change management, crisis management, and problem solving
- Software expertise with health information exchange standards and data visualization tools;
- Demonstrated capacity to mobilize, interpret, package and present data for decision-makers;
- Experience with delivering trainings, coaching, and mentoring with demonstrable success in strengthening capacity in others;
- Ability to identify problems, design interventions and oversee their implementation.
- Excellent oral and written communication skills in both English and Kiswahili.
Other Personal Attributes
- Ability and willingness to travel frequently within Western Kenya and work under field conditions.
- Presentation Integrity
- Detail oriented
- Good knowledge of Social Teachings of the Church and Ethical Principles