PIH/IMB Monitoring & Evaluation Data Officer Job Vacancy in Rwanda

Partners In Health/Inshuti Mu Buzima is a Harvard-affiliated international
NGO that has partnered with the Government of Rwanda to strengthen the health
system and support poverty reduction initiatives in rural Rwanda since 2005.

PIH/IMB is seeking outstanding candidates for the following
positions. Female candidates are particularly encouraged to apply.

Position
Title: Monitoring & Evaluation Data Officer

Reports
to: Burera Distrct
Clinical Director

Location:
Burera District

The
Monitoring & Evaluation Data Officer is responsible for supporting IMB monitoring
and evaluation (M&E) activities taking throughout Burera District. He/She
will conduct data collection activities including health facility surveys, data
quality assessments, auditing of health facility records and registers, and
other data collection activities as directed. He/she will have the opportunity
to participate in M&E and research trainings. He/she will provide
feedback to PIH and MOH M&E leadership on possible data errors or
challenges in M&E implementation observed. Work will be conducted both at
Butaro Hospital as well as health centers throughout Burera.

Key Responsibilities:

Conduct
data collection activities including health facility surveys, data quality
assessments, auditing of health facility records and registers, and other data
collection activities as directed;
In
a timely fashion, enter data for projects and programs as requested by the
M&E coordinator;
Respond
to questions regarding data quality and modify data as directed;
Provide
feedback on questionnaires, surveys, and other data collection
instruments;
Provide
M&E support as needed to priority IMB and MOH programs as determined
by department goals;
Support
MOH M&E activities as directed by PIH M&E leadership, including,
but not limited to, data quality assessment, performance based financing
evaluation, supporting HMIS reporting systems, improving data quality;
Provide
feedback to PIH and MOH M&E leadership on possible data errors or
challenges in M&E implementation observed;