Big Data and Business Intelligence Advisor

BACKGROUNDJSI Research & Training Institute, Inc. (JSI) is a global nonprofit organization dedicated to improving the health of individuals and communities. In Ethiopia, JSI has been implementing high-impact projects for over 25 years. As part of its ongoing commitment to serve as an innovation and learning hub, JSI is strengthening its M&E system across IPHCSD, SSD, C-RMNCH, and MIHR-E to leverage advanced data intelligence, predictive insights, and real-time learning for improved program performance.OVERVIEW OF THE POSITIONThe Big Data and Business Intelligence (BI) Advisor will be the technical lead for JSI’s centralized data intelligence hub. Beyond high-level modeling, this role is critical in streamlining routine monitoring systems, establishing robust DHIS2 environments, and designing advanced survey data management systems. S/he will act as a "Data Systems Architect," ensuring that all project data, from community health posts to tertiary hospitals, is integrated, visualized, and used for strategic decision-making.KEY DUTIES AND RESPONSIBILITIESM&E Streamlining & Systems Design: Lead the standardization of routine monitoring tools across projects; establish and manage project-specific DHIS2 instances and ensure interoperability with national systems.Survey Data Management: Design and oversee digital data collection workflows using SurveyCTO and ODK, ensuring high-quality data management from field collection to analysis.Data Pooling & Modeling: Develop a centralized "Data Lake" merging routine, research, and follow-up visit (FUV) data; apply predictive algorithms to forecast health trends and implementation gaps.Visualizations & Dashboards: Design and maintain advanced, real-time dashboards (PowerBI/Tableau) that visualize the "Performance and Data Matrix" for project leadership.Capacity Building: Act as a "Data Systems Coach" for field staff and technical leads, building their capacity in dashboard navigation and digital data entry.M&E Streamlining & Systems Design: Lead the standardization of routine monitoring tools across projects; establish and manage project-specific DHIS2 instances and ensure interoperability with national systems.Survey Data Management: Design and oversee digital data collection workflows using SurveyCTO and ODK, ensuring high-quality data management from field collection to analysis.Data Pooling & Modeling: Develop a centralized "Data Lake" merging routine, research, and follow-up visit (FUV) data; apply predictive algorithms to forecast health trends and implementation gaps.Visualizations & Dashboards: Design and maintain advanced, real-time dashboards (PowerBI/Tableau) that visualize the "Performance and Data Matrix" for project leadership.Capacity Building: Act as a "Data Systems Coach" for field staff and technical leads, building their capacity in dashboard navigation and digital data entry.

BACKGROUND JSI Research & Training Institute, Inc. (JSI) is a global nonprofit organization dedicated to improving the health of individuals and communities. In Ethiopia, JSI has been implementing high-impact projects for over 25 years. As part of its ongoing commitment to serve as an innovation and learning hub, JSI is strengthening its M&E system across IPHCSD, SSD, C-RMNCH, and MIHR-E to leverage advanced data intelligence, predictive insights, and real-time learning for improved program performance. OVERVIEW OF THE POSITION The Big Data and Business Intelligence (BI) Advisor will be the technical lead for JSI’s centralized data intelligence hub. Beyond high-level modeling, this role is critical in streamlining routine monitoring systems, establishing robust DHIS2 environments, and designing advanced survey data management systems. S/he will act as a "Data Systems Architect," ensuring that all project data, from community health posts to tertiary hospitals, is integrated, visualized, and used for strategic decision-making. KEY DUTIES AND RESPONSIBILITIES M&E Streamlining & Systems Design: Lead the standardization of routine monitoring tools across projects; establish and manage project-specific DHIS2 instances and ensure interoperability with national systems. Survey Data Management: Design and oversee digital data collection workflows using SurveyCTO and ODK, ensuring high-quality data management from field collection to analysis. Data Pooling & Modeling: Develop a centralized "Data Lake" merging routine, research, and follow-up visit (FUV) data; apply predictive algorithms to forecast health trends and implementation gaps. Visualizations & Dashboards: Design and maintain advanced, real-time dashboards (PowerBI/Tableau) that visualize the "Performance and Data Matrix" for project leadership. Capacity Building: Act as a "Data Systems Coach" for field staff and technical leads, building their capacity in dashboard navigation and digital data entry.