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| Youth Alive Uganda |
Data Analytics Specialist job Post
Location: Jobs in Uganda 2022 - 2023
Work Hours: Full-time, 08 hours per day
Salary:
UGX
No. of vacancies: 01
Deadline: 21 October 2022
Hiring Organization: Youth Alive Uganda
Job Details:
Job Summary
The Data Analyitcs Specialist, the Data Analytic 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.
Primary 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.
Required education, skills and experience
● Minimum of 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
● At least 5-10-year 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
Application procedure
All interested candidates should send their application letters (a page) and resumes (Max, 3pages) in a
SINGLE PDF DOCUMENT to careers@youthaliveuganda.org No academic papers required at this
stage.
Subject of the email should contain; Job title, name of candidate and duty station
Note: Hand-delivered applications will not be considered.
Date Posted: 2022-10-13
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