Palladium is a global leader in the design, development and delivery of Positive Impact - the intentional creation of enduring social and economic value. We work with governments, businesses, and investors to solve the world's most pressing challenges. With a team of more than 3,000 employees operating in 90 plus countries and a global network of over 35,000 experts, we help improve economies, societies and, most importantly, people's lives.
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In coordination with the Data.FI Nigeria Data Analytics and Data Use Lead and Health Informatics Lead prepare consolidated reports that include concise narratives and relevant tables to meet donor reporting requirements.
Provide technical support to the implementation of Data.FI’s Situation Room methodology at the National level and the National Agency for Control of AIDS (NACA).
Provide technical support to high-frequency reporting (HFR) and administration of APPR system with optimal use at the National level and facilitate access across the hierarchies.
Update and maintenance of indicators, generating indicator code lists and data elements configuration on the APPR.
Prepare Quarterly, Semi/Annual reports on project progress and monitor project activities on a regular basis.
Track and efficiently curate results for the workplan benchmarks for donor reporting across projects in Data.FI Nigeria.
Collaborate with the global MEL team to extract meaning and learning from the results and prepare success stories, progress reports, case studies, and other knowledge management products as required
Create and revise data collection tools for project results reporting.
Review project indicator results reported to determine if they meet indicator definitions, and work with activity leads to ensure proper documentation is on hand.
Build the capacity of project and country teams on M&E through training workshops, coaching, and mentoring, particularly understanding relevant indicators and how to document them per the project MEL plan and resources.
Develop draft MEL frameworks, logic models, theories of change, indicators, and indicator reference sheets on an as-needed basis for new USAID work, indicator harmonization exercises, and proposal submissions.
Work with the global MEL team to innovate processes and approaches to encourage MEL reporting on the project.
Actively participate in and contribute to monthly MEL team meetings.
Respond to routine data analysis requests from the USAID HAT team and provide necessary feedback in a timely manner.
Work with implementing partners to standardize monitoring and evaluation systems.
Any other duties assigned as per the dynamic programming environment.
Required Qualifications:
A Master's Degree in Public Health, Statistics, Health Informatics, Business Administration, or a related field.
At least 3 years’ experience working with Health Management Information Systems supporting data management, data analysis and data dissemination for decision making.
Sound technical experience working with DHIS2 systems.
Experience working with HIV/AIDS programs.
Ability to work well under pressure, demonstrated skills in crisis management and problem-solving.
Ability to work in a dynamic and agile environment with changing requirements and priorities.
Excellent written and verbal skills in English to communicate technical information to audiences with varying levels of technical expertise.
Sound analytical, and decision-making skills.
Demonstrated understanding of the PEPFAR data streams, the analytic questions facing PEPFAR programs and PEPFAR reporting requirements; experience with PEPFAR surge and HFR preferred.
Experience in leading and conducting rigorous and evidence-based data quality assessments (DQAs)
Demonstrated extensive experience working on M&E methodologies, data collection and analysis, and dissemination of findings.
Proven skills in data analysis with proficiency in statistical packages – Stata, SPSS, NVivo, advanced MS Excel, BI applications or other relevant statistical packages.
Technical Knowledge working with patient-level and aggregate data management systems; experience with LAMISPlus in Nigeria and National OVC Management Information System (NOMIS) preferred.
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