Re-advertised Data Analyst job at Raising The Village

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

JOB DETAILS:
Supervisor Team Lead Analytics
Department Planning, Evaluation, and Learning PEAL
Travel Required 20%

About Raising The Village: At Raising The Village RTV , we are dedicated to eradicating ultra-poverty in Sub-Saharan Africa. As a dynamic and rapidly growing international development organization, we have assembled a team of over 234 passionate individuals in Uganda, alongside an additional 12 professionals in North America, 14 in Rwanda, with more expansion base in the Sub Saharan Region. Together, we're committed to elevating communities out of ultra-poverty by implementing innovative solutions and leveraging advanced data analytics to drive impact. To date, our holistic approach has positively impacted over 1M lives, and we're poised to reach even greater milestones, aiming to reach over 1,000,000 participants annually by 2027. Our journey of growth and success is made possible by the invaluable support of our global partners who share our vision and belief in sustainable change. Learn more about our impactful programs at www.raisingthevillage.org

Job Summary: The Data Analyst will play a pivotal role within the PEAL department, contributing to economic research, data analysis, and program evaluation. The role involves managing the data lifecycle, running economic models, preparing reports, and providing insights to inform decision-making processes. This position requires collaboration with internal and external stakeholders 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 any other research questions.
? Engage with stakeholders to share findings and contribute to discussions on key issues.
? Support the organisation to stay current on developments in economics and data analysis trends to identify innovation opportunities.

Qualifications and Requirements:
? Degree in Economics, Development Economics, Quantitative Economics and Bachelor of
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 statistical packages specifically STATA, Alteryx, EpiInfo, ArcGIS, MS Excel, MS Access, Tableau, Drone2Map, Survey CTO and Survey123 programming will be an advantage.
? Experience in participatory research within last-mile communities will be 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.

By joining RTV, you'll 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, we invite you to apply and be part of our transformative journey.


Work Hours: 8

Experience in Months: 36

Level of Education: Bachelor Degree

Job application procedure

Interested and qualified? Click Here to Apply


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