Data Analyst Job Vacancy at Jhpiego
Job Overview
Jhpiego
Data Analyst Job Vacancy at Jhpiego
Dar es Salaam
Jhpiego
Jhpiego is a nonprofit organization for international health affiliated with Johns Hopkins University
Overview
The position holder for the role of Data Analyst will work closely with Finance, Grants, Operation, Communications, and Project MERL teams to ensure the availability of quality program and country office units’ data are linked together for evidence and data-driven project and country office monitoring and evaluation. The Data Analyst will support the compilation and examination of quality quantitative data and ensures its meaningful presentation in reports, meetings, and dashboards, and facilitate entry into the new PMERL system. Support in designing and digitalizing quantitative data gathering tools, data management, and data analysis and visualization for all projects. This position is open to Tanzanian nationals only and the applications will be received by 21st June, 2023.
Responsibilities
Using automated tools to extract data from primary and secondary sources
Developing and maintaining data algorithms– reorganizing data in a readable format
Performing data mining tasks, for predictive or forecasting purposes
Preparing reports for the senior management teams stating trends, patterns, and predictions using relevant models
Generating reports from single or multiple systems and providing technical expertise in data storage structures
Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction
Developing dynamic and interactive dashboards linking together finance, workplans and M&E data for quick insight
Supporting surveys and research design that includes concept writing, tool digitization, data management and analysis
Ensuring all project data are linked to appropriate and up to date data sources (finance, M&E data, workplan data)
Ensuring both project and country office dashboards are developed, maintained and use to improve project and office efficiencies
Creating comprehensive reports and presentations to communicate data
Continuously monitor and evaluate data to identify trends and opportunities for improvement
Conducting thorough data cleaning, ensuring data accuracy and integrity
Training champions to support field level data usage using interactive dashboards
Provide coaching and mentorship to MERL project teams on improving data use and data visualization in presentations, reports and technical briefs.
Required Qualifications
Bachelors or Master’s degree
Major in statistics, economics, computer science, management information systems, or a related field or equivalent related experience
A minimum of 5 years of experience in a non-government organization, or international NGO a plus
Demonstrated experience with reporting as per the United States Government including PEPFAR funding requirements required
High proficiency with digital data collection software applications and data management software like KoBo Toolbox, ODK, CommCare, Survey-CTO, REDCap, or DHIS2
Experience in analyzing quantitative data using statistical packages such as Stata/SAS/SPSS is preferred
Sound knowledge on data visualizations with BI software’s preferred Excel and Power BI
This position requires high computer literacy with full knowledge of office applications, i.e. MS Word, Excel, PowerPoint, Outlook, and the Internet.
Demonstrated knowledge of and skill in adaptability, decision making, customer service, and Experience with Spatial data analysis including map making preferred QGIS/ArcGIS
In-depth knowledge on evaluation and research procedures
Demonstrated knowledge on electronic data collection tools development
Demonstrated background on working with big data sets and data bases
Advanced analytical knowledge of data and business analysis
Developing software and data modelsDemonstrated experience with reporting as per the United States Government including PEPFAR funding requirements required
High proficiency with digital data collection software applications and data management software like KoBo Toolbox, ODK, CommCare, Survey-CTO, REDCap, or DHIS2
Experience in analyzing quantitative data using statistical packages such as Stata/SAS/SPSS is preferred
Sound knowledge on data visualizations with BI software’s preferred Excel and Power BI
Demonstrated knowledge of and skill in adaptability, decision making, customer service, and Experience with Spatial data analysis including map making preferred QGIS/ArcGIS
In-depth knowledge on evaluation and research procedures
Demonstrated knowledge on electronic data collection tools development
Demonstrated background on working with big data sets and data bases
Advanced analytical knowledge of data and business analysis
Developing software and data models
How to Apply :
