Data Analytics Specialist NGO Jobs – Youth Alive Uganda

Data Analytics Specialist NGO Jobs – Youth Alive Uganda

Job Title:   Data Analytics Specialist

Organisation: Youth Alive Uganda

Duty Station:  Uganda


About US:

Youth Alive Uganda is the leader in innovative children, adolescents and youth integrated development programming since 1993. Youth Alive Uganda is a registered youth led and children/youth focused NGO that implements children and youth integrated development programs across the country in four thematic areas; Health, Livelihood, Education, Human rights and skills Development and Mentorship.


Job Summary: The Data Analytics Specialist will collect data from various sources, review and interpret it using data analysis tools to provide meaningful information and insights to help USAID/OVC NWR Activity make better-informed program decisions. will hold dual responsibility for ensuring timely collection, entry, processing, documentation and dissemination of all data and information relevant to Project and PMP reporting and coordinating and delivering targeted M&E TA to districts and Local Government counterparts. S/he will follow up and ensure timely collection of data, check for completeness and reliability of data before entry into the database, ensure timely data entry into the database, check for completeness of entered data against the physical data on forms/tools and perform elementary data analysis to inform service delivery. S/he will be an integral part of the OVC NWR Activity team and support coordination and delivery of M&E TA to M&E District and LG staff across districts of operation as part of capacity development and systems strengthening initiatives.


Key Duties and Responsibilities:

  • Organize data into usable formats.
  • Analyze routine monitoring and assessment data to find answers to specific questions.
  • Assess quality of data including verifying, fixing coding errors, and cleaning USAID/OVC_NWR Activity data.
  • Responsible for ensuring timely, high quality data collection, entry, analysis and reporting by national partner M&E teams across districts/zones of operation.
  • Generate information and insights from data sets and identifying trends and patterns, preparing reports for USAID/OVC_NWR Activity’s use.
  • Create data visualizations for internal and external audiences.
  • Contribute to the implementation of the project’s Monitoring, Evaluation, and Learning Plan.
  • Coordinate and assist monitoring and evaluation data collection activities.
  • Actively participate in Collaborative, Learning and Adapting (CLA) processes in place within USAID/OVC_NWR Activity.
  • Work with government and non-government partners to implement M&E activities.
  • Work with the M&E Advisor to set up data infrastructure, including supporting the implementation and maintenance of the database.
  • Provide other support to M&E team, as needed and other duties, as assigned.
  • Analyse any data entry errors and address with district staff and M&E Advisor.
  • Comply with data integrity and security policies e.g. confidentiality.


Qualifications, Skills and Experience:

  • The applicant must hold a degree in a quantitative field such as econometrics, or statistics or Computer science.
  • Postgraduate Diploma in Business intelligence and Data analytics is an added advantage.
  • Evidence of additional hands on training, coaching and mentorship in Monitoring and Evaluation
  • Five to ten years of work experience on development projects where research and data analysis skills have been applied, preferably under PEPFAR/USAID programs.
  • Advanced knowledge of Excel for data analysis, including use of formulas, functions and calculations to analyze data required.
  • Knowledge of Excel + Power Query to clean, merge, pivot/un-pivot and transform data preferred.
  • Understanding of reporting and data visualization tools such as Power BI and Tableau.
  • Excellent analytical skills and the ability to identify trends, patterns, and insights from data with strong attention to detail.
  • Strong numerical skills to help collect, measure, organize and analyze data.
  • Presentation skills – ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understanding.
  • High-level experience in methodologies and processes for managing large-scale databases.
  • Demonstrated experience in handling large data sets and relational databases.
  • Good working knowledge of major databases and analytical programs including MS access, MS excel, STATA, SPSS and Epi Data.
  • Good verbal communication
  • Ability to work in a challenging environment
  • Fluent in oral and written English and excellent writing skills


How to Apply:

All interested candidates should send their application letters (a page) and resumes (Max, 3 pages) in a SINGLE PDF DOCUMENT to [email protected] The subject of the email should contain; Job title, name of candidate and duty station.


NB: No academic papers required at this stage. Hand-delivered applications will not be considered.


Deadline: 21st October 2022


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