Background information about the job or company:

A Professional in charge of Data Analysis and Statistics is an expert in a given business function. S/he works with business functions to help them improve their policies, strategies, processes and systems 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. A Professional officer may also perform selected operational and technical roles of a highly complex nature either on occasional or permanent basis based on the nature of the business function

Responsibilities or duties:

• Collect and analyse data on identified business challenges, risks and opportunities as well as recommend improvements.
• Conduct data analysis tasks such trend analysis and anomaly detection to inform decision making and identify unusual patterns that may indicate tax evasion or fraud
• Design and develop dashboards/solutions for monitoring taxpayers’ compliance in real time
• Validate and monitor data quality, and work closely with the IT department to correct and mitigate identified issues.
• Ensure the tools, dashboards, automated reports, and other solutions developed are continuously updated to meet the needs of RRA.
• Use appropriate agile management techniques to plan, manage, deliver, and generate insights from data science projects.
• Use Git Lab to manage and monitor source code for all tasks, ensuring its security.
• Apply best coding and software development practices to ensure source code is clean, maintainable, and reusable.
• Document developed projects and tools to enable other developers to contribute, and prepare user manuals where applicable.
• Prepare and submit weekly, monthly, quarterly and annual activity reports.
• Carry out any other task assigned by the supervisor.

Qualifications or requirements:

• Bachelor’s Degree in Information Technology, Computer Engineering and Computer Science specialized in Programming
• Bachelor’s Degree in Data Science, Mathematics, Statistics, or Actuarial Science, with a specialization in specialized in Data analytics
• Master’s Degree in the aforementioned fields will be an added advantage, specialized in Data analytics

Experience needed:

2 years experience in Data analysis work

Any other provided details:

Required Trainings: Python, R programming and SQL

• Collect and analyse data on identified business challenges, risks and opportunities as well as recommend improvements.
• Conduct data analysis tasks such trend analysis and anomaly detection to inform decision making and identify unusual patterns that may indicate tax evasion or fraud
• Design and develop dashboards/solutions for monitoring taxpayers’ compliance in real time
• Validate and monitor data quality, and work closely with the IT department to correct and mitigate identified issues.
• Ensure the tools, dashboards, automated reports, and other solutions developed are continuously updated to meet the needs of RRA.
• Use appropriate agile management techniques to plan, manage, deliver, and generate insights from data science projects.
• Use Git Lab to manage and monitor source code for all tasks, ensuring its security.
• Apply best coding and software development practices to ensure source code is clean, maintainable, and reusable.
• Document developed projects and tools to enable other developers to contribute, and prepare user manuals where applicable.
• Prepare and submit weekly, monthly, quarterly and annual activity reports.
• Carry out any other task assigned by the supervisor.

• Descriptive and inferential statistics
• Basic analytical and written communication skills.
• Microsoft Power BI, Tableau, GoodData, etc.
• Data analytical tools (Python, R, SQL, NoSQL, gitlab or github, airflow)
• Web development with flask, jango, php, FastAPI, JQuery, html, CSS, Bootstrap, Postman, JavaScripts, etc

• Bachelor’s Degree in Information Technology, Computer Engineering and Computer Science specialized in Programming
• Bachelor’s Degree in Data Science, Mathematics, Statistics, or Actuarial Science, with a specialization in specialized in Data analytics
• Master’s Degree in the aforementioned fields will be an added advantage, specialized in Data analytics