Principal Professional in Charge of Statistics at RRA:Deadline:3 Apr 2023

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Purpose
A Principal Professional in Statistics works with the Statistics Team 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. The information provided will help senior and stakeholders to improve Tax policies, strategies, processes and systems. 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
  1. 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),
  2. Ensure proper automation of frequently requested reports as well as timely compilation and updating all RRA and TADAT related statistics,
  3. Liaise with IT to ensure proper development and updating RRA data portal and handle all data requests while keeping confidentiality of taxpayer`s information


Required Academic Qualification
   Preferred Qualifications
  1. Master’s Degree in Science specialized in Applied Statistics
  2. Master’s Degree in Science specialized in Economics
  3. Master’s Degree in Data Science specialized in Data Mining
  4. Master’s Degree in Data Science specialized in Econometrics


   Relevant Qualifications
  1. Bachelor’s Degree in Economics specialized in Monetary Economics or International Economics
  2. Bachelor’s Degree in Applied Statistics specialized in Actuarial Science


Required Trainings
  1. Statistical Analysis and Modelling
  2. Datawarehouse and Business Intelligence
  3. Data Governance, Data Security and Data Protection
  4. Dashboard creation


Skill Type Required Skill Required Proficiency level
Coding Data manipulation using Data Science tools (R, Python, SQL, etc…) advanced
Computer Literacy Spreadsheets (MS Excel) advanced
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
  1. Analytical skills
  2. Problem solving
  3. Decision making
  4. Mentoring and coaching
  5. Familiar with data manipulation and storage related technologies (cloud storage, computing powers of machines, data analytical software’s etc.) etc..)
Required Experiences
  1. 6 years experience in Data Analytics
  2. 6 years experience in Statistical Analysis

 

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