| Purpose |
Under the supervision of Supervisor in charge of Revenue Modelling and Statistics, the Principle professional in Charge of revenue modelling and statistics works with the revenue modeling and statistics team to analyse tax gaps, tax expenditure and other microsimulation models, and to extract raw data from different databases, perform data preparation, data cleaning, data transformation and carry out statistical analysis to help the RRA and policymakers to make informed decision making. This is done typically through analysis and strategic thinking by conducting research and analysis in order to identify performance gaps and solutions to business problems and to recommend innovations to improve business operations.
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| Key duties and responsibilities |
- ensure proper maintenance and coordination of microsimulation models,
- Coordinate Tax Gap modelling and ensure accuracy and quality of its reporting, for core taxes (CIT/PIT, VAT, PAYE, Customs Taxes)
- carry out tax expenditure modelling for major taxes (cit/pit, paye, excise and customs) and ensure accuracy and quality of related reports.
- liaise with tax analysis and revenue forecasting team to make quick impact analysis of new policies that will affect revenue projections
- Coordinate the team to ensure proper data cleaning and automation of frequently requested reports;
- Coordinate all activities of statistical reports and publications preparations;
- Coordinate data request handling to ensure confidentiality of taxpayer`s information;
- Perform any other duties related to RRA business as assigned by line manager.
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| Required Academic Qualification |
| Preferred Qualifications |
- Master’s Degree in Statistics specialized in Statistics
- Master’s Degree in Economics specialized in Economics
- Master’s Degree in Data Science specialized in Econometrics
- Master’s Degree in Applied Mathematics specialized in Statistics
- Master’s Degree in Data Science specialized in Actuarial Science
- Master’s Degree in Economics specialized in International Economics
- Master’s Degree in Economics specialized in Monetary Economics
- Master’s Degree in Statistics specialized in Statistics Applied to Economy
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| Relevant Qualifications |
| Skill Type |
Required Skill |
Required Proficiency level |
| Analytical, communication and decision making skills |
Report writing skills |
advanced |
| Computer Literacy |
Word Processing (MS Word) |
advanced |
| Computer Literacy |
Spreadsheets (MS Excel) |
advanced |
| Computer Literacy |
Presentation (MS PowerPoint) |
advanced |
| Language |
Proficiency in English |
advanced |
| Presentation |
Skills in drafting ,reporting and presentation |
advanced |
Required Competencies |
- Communication
- Analytical skills
- Problem solving
- Decision making
- Technology awareness
- coding
- Performance management
- In-depth knowledge and understanding of data analytical software and languages such as STATA, R, Python, SPSS and Excel;
- Experience using econometric techniques, predictive analytics, data mining and statistical analysis for large, complex datasets;
- Data Visualization skills;
- Critical thinking, time management, and decision-making skills;
- Managerial skills;
- Ability to communicate findings from complex analysis to a wide variety of audiences, through written reports and presentations;
- Ability to follow specified procedures in planning, implementing, monitoring and evaluating tasks to deliver outputs to meet required deadlines;
- Ability to prioritize workloads and work under pressure;
- Ability to work as a team member;
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| Required Experiences |
- 6 years experience in Statistical Analysis or Reseach and Policy Analysis
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