Project Overview and Role
The Senior Analytics Specialist will provide overall guidance and support on data analysis for sub purposes 1 and 2 (see above). S/he will be skilled in mining data and the application of inferential statistical methods to convert county clinical and public health data into information for evidence-informed programming. The Sr. Analytics Specialist 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 M&E Advisor as well as the Senior Data Systems Specialist and Senior DDU and Learning Specialist to support outcome measurement activities and ensure that data analyses provide information needed by CHMTs to answer key questions, support decision making, and create quality improvement.
Senior Analytics Specialist Job Responsibilities
Work with the M&E Advisor to strengthen/develop a framework and system for health outcome measurement at the county and sub county levels. The framework will include priority health questions; associated outcome measures, data sources, and methods; and guidance on frequency of data collection, reporting, dissemination, and methods to ensure internal and external data consistency.
Build consensus among county MLA stakeholders on priority health sector outcome measures that will be included in the three-year Health Sector Report and the CIDP.
Work with the Senior Governance Specialist to encourage county-level funding to support improved outcome measurement and MLA systems.
Work with the M&E Advisor and the Informatics Advisor to triangulate data from disparate county data systems.
Conduct outcome measurement and geospatial analysis for use in policy development, program planning, and management.
Work with the County Learning and Planning Specialists and the Sr. Data Use Specialist to enable counties to:
Continuously use data for quality improvement
Increase the use of gender- and age-disaggregated data in particular, and inferential statistics in general, for evidence-informed program management
Inculcate a culture of data demand and use within the CHMTs, including the provision of routine high-level statistical analyses
Develop the health county profiles to improve health policy and program decision making
Lead the development of data analysis for information products and data dashboards. This position will also support senior leadership in their collaboration with HIGDA.
Link to Palladium counterparts within the Kenya Measure Evaluation, Health Policy Plus and Strategic Information teams for cross-platform learning and sharing of strategies and techniques.
Requirements for the Senior Analytics Specialist Job
Masters degree in related field: MSc Epidemiology/Biostatistics/Applied Mathematics
5+ years? experience in an analytic/statistical position for a PEPFAR-funded project
Demonstrated experience in manipulating large datasets
Appropriate software skills necessary to conduct analyses of study data, such as STATA, SPSS, EPI, R or equivalent
Demonstrated ability to strengthen outcome measurement systems and conduct outcome analysis, geospatial analysis, and other high level analyses
Data visualization skills for developing health county profiles, dashboards, and data warehouse
Demonstrated experience working with DHIS2, EMRs, CRVS, and other relevant Kenyan health information systems
Experience mining data from databases such as SQL or equivalent desirable
Strong written and oral communication skills for high-level policy audiences (writing examples may be required)
Excellent coordination and organization skills
Ability to work well under pressure and solve problems
Ability to develop and maintain relationships with users and various stakeholders (local and international); developed cultural awareness and innovation sense
Ability and willingness to travel frequently within Kenya and work under field conditions
Fluency in written and spoken English and Swahili
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