M&E/Data Analytics Intern at Palladium Group

Purpose of Position

• Palladium is seeking a Monitoring and Evaluation (M&E) / Data Analytics (DA) intern to work in close collaboration with the project Data Analytics and Data Use team in support of USAID’s Strategic Information (SI) team and service delivery implementing partners (IPs) to leverage weekly PEPFAR data to support control of HIV epidemic.
• The M&E/Data Analytics intern will report to the Data Analytics, and Data use Team Lead. 

Primary Duties and Responsibilities:

• Support review of high-frequency reporting (HFR) data sets for weekly reporting
• Conduct data validation and logic checks for data across reporting systems i.e., Data for Accountability, Transparency, and Impact Monitoring (DATIM), the National Data Repository (NDR), and HFR
• Conduct data collection and collation at the state level.
• Support the development of analytic products to provide insights for decision-makers.
• Support implementation of the Weekly Data Review for Rapid Action methodology at the state level and across hierarchies
• Working with the Strategic Information Advisor(s), support IPs to facilitate and support HFR processes to identify barriers to data use and generate solutions to address those barriers
• Support documentation of best practices, data use cases and stakeholder engagements at the state level 
• Implement data quality strategies and activities at the state level and other hierarchies as advised
• Support regular analysis and reviews of performance on key priority indicators for HIV and orphans and vulnerable children (OVC) programs
• Support any other activity as assigned by the supervisor.

Required Qualifications:

• A degree in Public Health, Statistics, Health Informatics, Computer Science, Monitoring and Evaluation, or a related field 
• Knowledge of health management information systems or routine health information systems
• Basic knowledge of HIV/AIDS programs, including District Health Information Software, version 2 (DHIS 2) preferred but not mandatory.
• Knowledge of patient-level and aggregate data management systems i.e., electronic medical records (EMR), logistics information management systems (LIMS) 
• Working skills in data analysis with proficiency in a statistical package, i.e., Stata, SPSS, advanced excel, or Business Intelligence applications.
• Excellent written and verbal skills in English