Job Expired
JSI - John Snow Inc
Health Care
Public Health
Addis Ababa
5 years
1 Position
2023-08-30
to
2023-09-08
Epidemiology
Public Health
Statistics
Full Time
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Job Description
Organization Background
JSI is a US-based public health nonprofit organization dedicated to providing high-quality technical and managerial assistance programs throughout the world. In Ethiopia, JSI has been working to improve health outcomes for more than 25 years, implementing more than 60 projects and working in every region. JSI has historically managed a large portfolio of projects focusing on the quality, and equity in access of, RMNCAH services, primary health care (PHC) including community health program, digital health, health information systems (HIS), supply chain management, public health emergency responses, and social and behavior change.
Activity Overview
USAID Quality Healthcare Activity (QHA) aims at improving health outcomes through improved readiness of health facilities to deliver quality reproductive, maternal, newborn, child, and adolescent health (RMNCAH) services, increased management and accountability for quality service delivery, and restoration of services in health facilities in conflict-affected areas. QHA's strategies and implementation approaches will help Ethiopia's government build responsive, resilient, and sustainable public and private healthcare systems. QHA will cover urban and peri-urban primary health care units (PHCU) and referral health facilities in select regions and woredas. The Activity, through funding support from USAID, will be implemented by JSI in collaboration with the Institute for Healthcare Improvement (IHI), Reproductive Choices (MSI), Project HOPE, and Network of Ethiopian Women's Associations (NEWA) for five years (May 01, 2023 - April 30, 2028)
Role Summary
The main responsibility of the learning, monitoring, and evaluation officer will be to make sure that the routine learning, monitoring, and evaluation activities for QHA are carried out. This will involve tasks such as supporting the development of the digital LME system, monitoring the progress of performance indicators, ensuring that data is entered on time, extracting data from DHIS2, and assisting the area implementation team in LME activities. The LME officer will also work closely with the area implementation teams to provide continuous coaching and mentoring to enhance their understanding and ability in LME.
Support the design and roll out of the Activity’s digital LME system.
Provide technical support for area implementation teams on routine LME activities, including ensuring appropriate use of data collection tools, data entry, data verification, report compilation and data use for decision making.
Work closely with area implementation teams to identify challenges, troubleshoot and resolve issues related to the Activity’s digital LME system.
Actively participate in the QHA baseline and other assessments.
Work closely with area implementation teams to identify and address data quality issues
Make a thorough data analysis, identify trends, patterns, and share insights for decision makers.
Regularly review data and track the progress of each indicator performance against target set for the implementation period and LOP target.
Provide continuous coaching and mentoring to area implementation team on LME including how to ensure data quality and data use for decision making.
Provide technical support to area implementation teams on identifying and documenting success stories, best practices, and lessons, including providing technical support for them on organizing periodic learning events that facilitate decision making to adapt activities and approaches for better outcomes.
Support area implementation teams on the preparation of different reports, including periodic performance reports, review meeting and training reports.
Work closely with the LME Manager to conduct RDQA across all area offices and identify Perform other duties as assigned.
Perform other duties as assigned.
Advanced degree in public health, statistics, epidemiology, or a related field is required.
More than five years of experience working on LME, with a minimum of two years working in health system strengthening is required. USAID experience is highly desirable.
Experience with District Health Information System software (DHIS2) to collect and utilize health data.
Quantitative and analytical skills, including experience with mining, analysis, interpretation, and presentation of data. Experience in using statistical software such as SPSS, STATA, and R is highly desirable.
Data visualization skills using tools such as Tableau, Power BI, Advanced Excel is highly desirable.
Excellent oral and written communication, presentation, and organizational skills
Ability to coordinate various tasks, work independently and manage work plan.
Ability to work as part of a diverse and dynamic team.
Ability to work comfortably in the MS Office package, Google suite, and other software and technology tools
Knowledge and experience working with monitoring, learning and evaluation highly desirable.
Experience in working with mobile health (mHealth) tools such as ODK, Survey CTO is an added advantage.
Speaking of additional Local language is a plus
Interested applicants who met the minimum requirements should send and apply using THIS LINK please submit your application letter with your CV in English detailing your experience and skills that are relevant to the post.
Please do not attach copies of your transcripts, academic degrees or recommendation letters with the application. You will provide them upon request.
JSI/WEI is a child-safe organization, and the safety and well-being of children is a priority of our organization. We have robust recruitment procedures to ensure that all staff are suited to work with the children served by our programs.
JSI/WEI is an Equal Opportunity, Affirmative Action Employer committed to workplace diversity. We are committed to providing equal employment opportunities for all qualified applicants and employees without regard to age, race, color, national origin, ancestry, creed, religion, gender, disability, marital status, sexual orientation, sexual preference, genetic information, political affiliation, or protected veteran status in any employment decisions. M/F/V/D
Fields Of Study
Epidemiology
Public Health
Statistics
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