Job Title: Junior Data Analyst (Fresher NGO Jobs)
Organisation: Raising The Village
Duty Station: Mbarara, Uganda
About Organisation:
Raising The Village International (RTV) is a Canadian non-profit organization focused on ending extreme poverty by eliminating immediate barriers of scarcity, nurturing income-generation activities and building local capacity, while moving communities toward economic self-sufficiency. Raising The Village is a fast-growing organization on an accelerated growth path. Our East Africa and North American teams work together to lift communities out of ultra-poverty in last-mile villages. We operate at the intersection of direct implementation and advanced data analytics to inform progress, decision-making, and impact.
Job Summary: The Junior Data Analyst, part of the Analytics team within the Venn department, is responsible for managing the data lifecycle from collection and storage to cleaning, analysis, reporting, and innovation while also facilitating learning and information exchange across teams. This entry-level role is ideal for someone with strong analytical skills, a passion for data, and a willingness to learn and grow in the field of analytics.
Key Duties and Responsibilities:
- Analyze and interpret program data (input, output and outcome data) to support decision-making
- Responsible for sorting, cleaning, validating, and aggregating raw data files for analysis
- Support in conducting data quality checks, control, and management for field collection activities
- Responsible for organizing and storing data outputs, ensuring that all reports derived from analyzed data are accurately completed, properly documented, and saved in the appropriate folders for future reference and use.
- Collaborate with the other Venn team units to design appropriate data collection and aggregation tools, with plans to routinely update them for data quality improvement.
- Support the management of the organization’s Centralized M&E Database with automated workflows for real-time information and data visualization.
- Support in the planning and coordinating field surveys, including the development of work plans, schedules, and other necessary guiding tools like survey guidelines related to safeguarding the confidentiality, integrity, and quality of data collected.
- Build capacity for field staff to achieve their data collection targets and present data and information in the best possible format for further analysis.
- Support in the completion and compilation of project monitoring and evaluation reports for decision-making
- Other duties as required by supervisors.
Qualifications, Skills and Experience:
- Proven working experience for at least one year conducting data analysis.
- University degree in Statistics, Economics, Quantitative Economics, Mathematics, or any related field.
- Must have Statistical analysis experience using STATA, R/Python programming is an added advantage.
Skills & Qualities
- Strong analytical skills with the ability to organize, analyze, and disseminate significant amounts of analysis findings with attention to detail and accuracy.
- 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, feasibility studies, data quality assurance, and reporting.
- Strong training & facilitation skills.
- Team player, yet self-motivated and proactive.
- Flexibility to work effectively with changing priorities and competing deadlines.
- Experience in participatory research within last-mile communities will be an advantage.
Raising The Village is an equal-opportunity employer committed to diversity and
inclusion. We highly encourage women candidates to apply.
How to Apply:
All Qualified and interested candidates should apply online at the link below.
For more of the latest jobs, please visit https://www.theugandanjobline.com or find us on our facebook page https://www.facebook.com/UgandanJobline
Level of Education: Bachelor Degree
Work Hours: 8
Experience in Months: no experience required