Data Analyst at JHPIEGO Tanzania

Jhpiego Tanzania Jobs 2023

Data Analyst
Posted Date (6/7/2023 5:34 PM)
Job ID 2023-5214
Location TZ-Dar es Salaam
Category International Positions
Employment Status Full-Time

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.
Recommended:

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.

NEW TANZANIAN JOBS, INTERNSHIPS AND VOLUNTEERING OPPORTUNITIES 2023 (1,475 POSTS)

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 models
• 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
• 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.