Job Title: Research & Learning Analyst
Organisation: ASIGMA
Duty Station: Kampala, Uganda
About Organisation:
ASIGMA is a group of three subsidiaries – Advisory, Data, and Capital that leverages data and technology to add value to organisations. Its Advisory arm offers investment advice, develops investable business cases, and provides Private Sector support and Technical Assistance; some of our development clients include USAID, DFID, AfDB, and WBG IFC. Its Capital arm is currently managing projects in alternative investments (Private Equity, Real Estate, and Energy) that include Manufacturing and Shallow Geothermal Exploration, among others. Lastly, its Data arm aids the Advisory and Capital arms through digital data capture and analytics, market research, and insights to allow for actionable decision making but also provides project and data management services to external clientele.
Job Summary: The Research and Learning Analyst plays a crucial role in driving data-driven decision-making and enhancing the learning experience within our organization. Your responsibilities include conducting comprehensive research, analysing data from diverse sources, and providing valuable insights that will guide our strategies and improve our educational programs. You will have the chance to design surveys, conduct experiments, and use advanced statistical tools to assess the effectiveness of our learning initiatives, ultimately helping us deliver high-quality educational content and experiences.
Key Duties and Responsibilities:
About the Role
- The Research and Learning Analyst plays a crucial role in driving data-driven decision-making and enhancing the learning experience within our organization.
- Your responsibilities include conducting comprehensive research, analysing data from diverse sources, and providing valuable insights that will guide our strategies and improve our educational programs.
- You will have the chance to design surveys, conduct experiments, and use advanced statistical tools to assess the effectiveness of our learning initiatives, ultimately helping us deliver high-quality educational content and experiences.
- Support firmwide Business Development efforts through identification of business opportunities and preparation of proposals and EOIs.
- Provide support in the design of methodologies for research, and monitoring and evaluation (M&E).
- Design, develop, and test research instruments.
- Validate data sources and regularly update the firm’s database of credible data sources.
- Clean, organize, archive, and manage the firm’s research datasets.
- Support the development of innovative capacity building and learning solution.
- Actively participate in client meetings.
- Participate in planning, implementation, and reporting on research, learning, and M&E activities.
- Undertake data analysis using qualitative and quantitative techniques.
- Produce illustrated descriptive and analytical reports of implemented research studies.
- Document case studies and develop insights from the firm’s body of research work to support the firm’s communication function.
- Identify and support documentation and automation of routine tasks and procedures in the department.
Qualifications, Skills and Experience:
- A track record of outstanding academic performance, with a Bachelor’s or Advanced Degree in Statistics, Quantitative Economics, or any related field.
- Highly analytical and creative problem solver with a can-do attitude.
- Confident self-starter with an ownership mindset and a high sense of urgency.
- High attention to detail and accuracy.
- Demonstrated advanced written and verbal communication and presentation skills.
- Must work well in a team-oriented environment as well as independently.
- Be receptive to feedback and willing to learn.
- Ability to handle highly confidential information in a strictly professional manner.
- Ability to maintain a professional demeanor in times of high stress.
How to Apply:
All suitably qualified and Interested applicants should apply online at the link below.
Opens the employer’s application page Apply Now →
Deadline: 27th August 2026
NB: Only shortlisted candidates will be contacted.
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Level of Education: bachelor degree
Work Hours: 8
Experience in Months: 12