Supervisor in charge of Revenue Modelling and Statistics at Rwanda Revenue Authority

Job details

Revenue Modelling and Statistics Section

Job Title: Supervisor in charge of Revenue Modelling and Statistics

Grade: M1

Supervisor: Director for Research, Policy Analysis and Statistics

Unit Location: HQ

Working Mode: Hybrid

Purpose

A Supervisor in a member of the lower management. S/he organises operational activities of the Revenue Modelling and Statistics teams, supervises and reports on team activities, motivates and assesses team performance in order to achieve assigned operational priorities, assignments and targets.

Key duties and responsibilities

1. Ensure proper maintenance and coordination of Microsimulation models, to make quick impact analysis of new policies that will affect revenue projections;
2. Coordinate Tax Gap modelling and ensure accuracy and quality of its reporting, for core taxes (CIT/PIT, VAT, PAYE, Customs Taxes)
3. Coordinate tax expenditure modelling for VAT, CIT/PIT, PAYE, Excise duty and Customs duties and ensure accuracy and quality related reports.
4. Coordinate the Compilation and ensure accuracy and quality of data published in the National and international Publications
5. Ensure timely compilation and accuracy of the RRA Tax statistics Publication;
6. Plan and assign operational tasks to various workers on own team.
7. Guide, instruct, control and supervise team members to achieve operational performance targets.
8. Advise on staff deployment, and talent management, and conduct team performance assessment, encourage continuous learning and capacity development within the Section.
9. Often carry out technical and support work especially involving the most difficult tasks.

Required Academic Qualification    

Preferred Qualifications

1. Master's Degree in Statistics specialized in Statistics
2. Master's Degree in Economics specialized in Economics
3. Master's Degree in Mathematical Sciences specialized in Statistics
4. Master's Degree in Applied Mathematics specialized in Data Science
5. Master's Degree in in Data Science specialized in Econometrics

   Relevant Qualifications

1. Master's Degree in Quantitative Analysis specialized in Quantitative Analysis

Skill Type Required 

1. Coding: Data manipulation using Data Science tools (R, Python, SQL, etc...) (medium)
2. Computer: Literacy Word Processing (MS Word) (advanced)
3. Computer: Literacy Spreadsheets (MS Excel) (advanced)
4. Computer: Literacy Presentation (MS PowerPoint) (advanced)
5. Language: Proficiency in English (advanced)
6. Presentation: Skills in drafting ,reporting and presentation (advanced)

Required Competencies

1. Ability to follow specified procedures, solve problems, plan, implement, monitor and evaluate tasks to deliver outputs to meet required deadlines;
2. In-depth knowledge and understanding of data analytical software and languages such as STATA, R, Python, SPSS and Excel;
3. Ability to communicate findings from complex analysis to a wide variety of audiences, through written reports and oral presentations;
4. Data Visualization skills
5. Ability to prioritize workloads and work under pressure
6. Experience using econometric techniques, predictive analytics, data mining and statistical analysis for large, complex datasets;
7. Excellent oral and written English; proficiency in French and Kinyarwanda is added value.

Required Experiences

1. 4 years experience in Statistical Analysis and Policy Analyis