• The key responsibilities of the role will be: • MIS support to Programmes and Systems • Support the MEAL Coordinator in designing and standardising surveys and data capture processes to ensure reporting and KPIs are accurate, and information is accessible to a range of audiences. • Support country programmes with form digitization and the development of dashboards (primarily using CommCare and Power BI). • Assist in providing regular technical support for staff on MIS tools or platforms • Support on training and building the capacity of staff on the use of MIS tools including the use of software services for: form digitalization (e.g. CommCare, MWater), dashboarding (e.g. Power BI) and other (e.g. ArcGIS). • Data analysis and visualisation • Support in the analysis of datasets using dashboarding (e.g. Power BI), statistical (e.g. SPSS/Python) and/or GIS (e.g. ArcGIS) tools. • Share monthly data reports and visualisations for each GU project in alignment with regular Programme Review Meetings and learning events • Contribute to monthly data reports and visualisations, in coordination with the GU MEAL team, to Programme leads and SMT in support of adaptive management and the assessment of progress against project, programme and country targets, using statistical and data modelling • Assist GU Programme staff to identify and respond to trends in already established datasets • Work Hours: 8 • Experience in Months: 24

• To be successful in this role, you will need: • Essential • Bachelor’s Degree in Computer Science, Business Analytics, Business Computing or Business Statistics. • Minimum of 2 years of experience in database management or MIS preferably in the humanitarian or development sectors. • Previous experience in training of M&E teams and other systems users. • Basic knowledge of statistics and experience working with relational data structures. • Desirable • Experience working with ODK based software (Kobo, SurveyCTO, MWater), particularly CommCare • Experience working with dashboarding software (Tableau, Qlik, Looker), particularly Power BI (highly preferred) • Knowledge of a programming language (VBA, Java, C), particularly R or Python • Knowledge of SQL and of machine learning

Use the link below to apply https://job-boards.greenhouse.io/goaluganda/jobs/6341665 OR