| Job Title: Data Analyst |
| Department: D&A |
| Location: Butembe |
| Reporting to: D&A Manager |
| Key Relationships: D&A Manager |
| Job Grade: M2 |
| Role Summary and Purpose: As a Data Analyst supporting the Production, Processing and Cooperate Services Departments in YU, you will be responsible for extracting valuable insights from data to optimize Production, Processing and Cooperate Services Operations. |
| Key Result Areas |
Key Responsibilities |
Key Performance indicators/ deliverables |
| SSOT, Data Analysis and Reporting:
|
- Collect, clean, and analyze Lake Ops, Processing, Cooperate Services & PSFU Data.
- Develop and maintain databases, ensuring data accuracy and integrity.
- Perform statistical analysis to identify trends, patterns, and anomalies.
|
- Accuracy of reports and dashboards.
- Timeliness of reporting.
- Percentage adoption of the dashboard for reporting and KPI tracking
|
| Operational Improvement Strategy Support: |
- Work closely with the Lake Ops, Processing, Cooperate Services & PSFU teams to ensure Operational Optimization and Process Improvement.
- Provide data-driven insights to support Process refinement, Optimization and Collaborate in the development of Data Driven insights in respective Departments.
|
- Impact of data-driven decisions on key business metrics.
- Number of business Processes Refined.
- Number of Projects Executed.
|
| Business Partnership Support |
- Communicate complex data findings in a clear and understandable manner to Allocated Business Partners.
- Provide Data literacy Sessions to Business Partners where Applicable.
- Provide Data and Analytics Support where Applicable.
|
- Ensure Business Partner Data and Insights generated are Accurate and of High integrity.
- Provide Data Literacy Training to all respective Business Partnerships
- All Business Partner Insights Reporting is provided in a timely manner.
|
| Performance Monitoring and Reporting |
- Generate regular reports and dashboards to communicate key performance metrics to stakeholders.
- Identify and report on critical success factors and areas for improvement.
- Automate reporting processes to ensure timely delivery of insights.
|
- Timely, Accurate and Relevant Data Insights reporting through all Relevant Reporting Channels (e.g., Power Bi, Power Point, etc.)
|
| Team Knowledge Exchange |
- D&A Clerk dotted line reporting (Lake Ops Data Clerk) and Upskilling.
|
- Upskill of respective D&A Clerk as requested.
- Process documentation on D&A process flows and Bi reports.
|
| Perform other duties as assigned by your supervisor |
Key Qualifications and Work Experience required for the role:
- Bachelor’s degree in Statistics, Computer Science.
- At least 3+ years of relevant experience as a Data Analyst/Scientist/Engineer.
|
Skills and Ability needed for the role:
- Database management systems and the ETL (Extract, Transform, Load) framework.
- Comprehensive knowledge of Excel, SQL, PowerBI, D365 and Python is desirable.
- Understanding of business processes, best practices, data lifecycles, and standard operating procedures.
|
| Working conditions:
40 hours of work a week, with provisional extension of 8 hours as and when may be required.
APPLICATION PROCEDURE
Please send the application, CV & academic documents as one pdf document to: careers@yalelo.ug, clearly specifying the job position in the subject line. The closing date for receiving applications is 29th May 2026. |
