Professional in charge of Statistics at Rwanda Revenue Authority: (Deadline 25 October 2023)
Job details
Revenue Modelling and Statistics Section
Job Title:
Professional in charge of Statistics
Grade:
P1
Supervisor:
Supervisor in charge of Revenue Modelling and Statistics
Location:
HQ
Working Mode:
Hybrid
Purpose
Under the Supervisor in charge of Revenue Modelling and Statistics, the Professional in Charge of revenue modelling and statistics works with the revenue modeling and statistics team to analyse tax gaps, tax expenditure and microsimulations modelling and to extract raw data from different systems, 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.
Key duties and responsibilities
Participate to the updating and maintenance of microsimulation models and other models relating to tax revenue analyses.
Ensure timely compilation, accuracy and quality of data published in the national (RRA tax statistics, NISR statistical year book) and international publication (ATAF, OECD, EAC, IMF, etc.),
Ensure proper automation of frequently requested reports,
Ensure timely compilation and updating all TADAT related statistics,
Ensure timely compilation and accuracy of the RRA tax statistics publication,
Liaise with IT department to ensure proper development and updating of RRA data portal
Handle data requests while keeping confidentiality of taxpayer`s information
Perform any other duties related to RRA business as assigned by line manager
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 APPLIED MATHEMATICS specialized in STATISTICS
Master’s Degree in MATHEMATICAL SCIENCE specialized in MATHEMATICAL SCIENCE
Master’s Degree in DATA SCIENCE specialized in DATA MINING
Master’s Degree in DATA SCIENCE specialized in ECONOMETRICS
Master’s Degree in Master of Science in Economics specialized in Master of Science in Economics
Relevant Qualifications
Bachelor’s Degree in Applied statistics specialized in Economic Statistics
Bachelor’s Degree in Economics specialized in Economics
Bachelor’s Degree in Applied Mathematics specialized in Statistics
Bachelor’s Degree in Mathematics specialized in Statistics
Skill Type
Required Skill
Required Proficiency level
Computer Literacy
Spreadsheets (MS Excel)
medium
Computer Literacy
Presentation (MS PowerPoint)
advanced
Computer Literacy
Word Processing (MS Word)
advanced
Language
Proficiency in English
advanced
Presentation
Skills in drafting ,reporting and presentation
advanced
Required Competencies
Analytical skills
Time management
Decision making
In-depth knowledge and understanding of data analytical software or languages such as STATA, R, Python, SPSS and Excel;
Experience using econometric techniques, predictive analytics, data mining and statistical analysis for large, complex datasets would be an added advantage;
Data Visualization skills
Critical thinking, time management, and decision-making 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
Excellent oral and written English; proficiency in French and Kinyarwanda is added value
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