Re-advertised Data Analyst job at Raising The Village

Learning and Knowledge Management Coordinator job at Raising The Village

June 27, 2024 Engineering Jobs, Featured, Full-time, Information and Technology

Re-advertised Data Analyst job at Raising The Village

Vacancy Title: Data Analyst (Re-advertised)
Type: Full-time
Industry: Nonprofit and NGO
Category: Admin & Office
Jobs at: Raising The Village
Deadline: Monday, July 01, 2024
Duty Station: Within Uganda, Mbarara, East Africa

Summary
Date Posted: Wednesday, June 26, 2024
Base Salary: Not Disclosed

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Job Details:

Raising The Village (RTV) is dedicated to eradicating ultra-poverty in Sub-Saharan Africa. With a team of over 234 passionate individuals in Uganda and an expanding presence in North America and Rwanda, RTV is committed to elevating communities out of ultra-poverty through innovative solutions and advanced data analytics. To date, RTV’s holistic approach has positively impacted over 1 million lives, aiming to reach over 1 million participants annually by 2027.

Job Summary:

The Data Analyst will play a pivotal role within the Planning, Evaluation, and Learning (PEAL) department, contributing to economic research, data analysis, and program evaluation. This role involves managing the data lifecycle, running economic models, preparing reports, and providing insights to inform decision-making processes. Collaboration with internal and external stakeholders is essential to enhance program effectiveness and measure impact.

Responsibilities:

Conduct economic research and analyze trends to inform program interventions.
Utilize econometric techniques and statistical analysis to interpret data and provide technical guidance.
Analyze program outcome datasets to aid informed decision-making.
Lead data quality checks and manage field data collection activities.
Design, update, and document data collection and aggregation tools.
Prepare reports, briefs, and presentations on economic and other research questions.
Engage with stakeholders to share findings and contribute to discussions on key issues.
Stay current on developments in economics and data analysis trends to identify innovation opportunities.

Qualifications and Requirements:

Degree in Economics, Development Economics, Quantitative Economics, or Statistics.
At least three years of experience in economic analysis and research, preferably in the nonprofit sector.
Strong quantitative skills and proficiency in statistical analysis software (e.g., STATA, Eviews, R, Python).
Excellent communication skills with the ability to present complex concepts.
Experience in data lifecycle management, including collection, analysis, and reporting.

Skills & Abilities:

Ability to work collaboratively and engage with diverse stakeholders.
Flexibility to adapt to changing priorities and deadlines.
Demonstrated knowledge and understanding of the application of Theories of Change (TOC).
Ability to apply M&E process-based tools including result-based and participatory monitoring and evaluation, gender analysis frameworks, feasibility studies, data quality assurance, and reporting.
Strong training & facilitation skills.
Statistical analysis experience with packages such as STATA, Alteryx, EpiInfo, ArcGIS, MS Excel, MS Access, Tableau, Drone2Map, Survey CTO, and Survey123 programming is an advantage.
Experience in participatory research within last-mile communities is an advantage.
Team player with the ability to be self-driven.
Strong analytical and problem-solving skills.
Flexibility to work effectively with changing priorities and competing deadlines.

About Raising The Village:

Raising The Village is an international development organization dedicated to eradicating ultra-poverty in Sub-Saharan Africa. By joining RTV, you will be part of a dedicated team committed to making a tangible difference in the lives of vulnerable communities across Sub-Saharan Africa. If you’re passionate about driving sustainable change and possess the requisite skills and experience, RTV invites you to apply and be part of its transformative journey.

Work Hours: 8
Experience in Months: 36
Level of Education: Bachelor Degree