| Purpose |
A Professional in charge of data analytics is the principal technical expert in Data Science unit. Under the supervision of Director for Data Science unit, the professional in charge of data analytics develops applications (dashboards) for monitoring Taxpayers’ compliance, develops applications to help other users conduct analysis of Taxpayers’ compliance, extracts and analyses data from RRA systems and develops predictive models on Taxpayers’ compliance.
|
| Key duties and responsibilities |
- Identify how to best leverage RRA extensive data sources and turn ideas into data products to improve compliance, revenue collection and the understanding of taxpayers’ behavior
- Coordinate with business side partners in the operational departments to conceive, plan, prioritize and deliver projects aimed at improving compliance and revenue collection
- Conduct workshops and presentations to share the progress, key findings, impact of projects and collect inputs from business side partners
- Work with business side partners in the operational departments to automate repetitive tasks, analysis, and reports that needs to be automated so as to speed up the process
- Design and develop dashboards to monitor RRA operations and business risks on real time and help the management to take data-driven decisions
- Mine, analyze large data sets using advanced techniques like machine learning models, identify the business gap, draw inferences and recommendations
- Use artificial intelligence to develop advanced tools to detect fraud and to improve taxpayers’ compliance
- Validate and monitor data quality, work closely with the IT department to correct and mitigate identified quality 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 learning from data science projects
- Use gitlab to manage and monitor source codes of all tasks so as to ensure the security of them
- Use best coding and software practices to ensure source codes are clean, maintainable, and reusable; and projects or tools developed can be easily scaled up
- Document the projects and tools developed to enable other developers contribute on them; and develop the manuals for the end user where applicable
- Plan your weekly and monthly priorities, produce monthly and weekly reports of achievements, and share the reports to the supervisor
- Carry out any other task assigned by the supervisor
|
| Required Academic Qualification |
| Preferred Qualifications |
- Master’s Degree in Actuarial Science specialized in Actuarial Science
- Master’s Degree in Data Mining specialized in Data Mining
- Master’s Degree in Computer Science specialized in Computer Science
- Master’s Degree in Computer Engineering specialized in Computer Engineering
- Master’s Degree in Mathematical Sciences specialized in Mathematical Sciences
- Master’s Degree in Information Technology specialized in Information Technology
- Master’s Degree in Electrical and Computer Engineering specialized in Electrical and Computer Engineering
|
| Relevant Qualifications |
| Skill Type |
Required Skill |
Required Proficiency level |
| Analytical Skills |
Prediction with advanced techniques like machine learning models, RapidMiner, etc |
advanced |
| Analytical Skills |
Descriptive and inferential statistics |
advanced |
| Analytical Skills |
Big data analytical tools (MongoDB, Apache Hadoop, Apache Spark, Hadoop MapReduce, etc.) and technologies |
advanced |
| Analytical Skills |
Artificial Intelligence |
advanced |
| Dashboard Tools |
Microsoft Power BI, Tableau, GoodData, etc. |
advanced |
| Laws |
Tax laws |
advanced |
| Programming |
Data analytical tools (Python, R, SQL, NoSQL, gitlab or github, airflow) |
advanced |
| Project Management |
Project Management |
advanced |
| Risk management |
Risk management |
advanced |
| Software Development |
DevOps |
advanced |
| Software Development |
CI/CD pipelines |
advanced |
| Web Development |
Data visualization and development of analytical and operational dashboards |
advanced |
| Web Development |
Web development with flask, jango, php, FastAPI, JQuery, html, CSS, Bootstrap, Postman, JavaScripts, etc |
advanced |
| Required Competencies |
- Accountability
- Client/Citizen Focus
- Communication
- Integrity
- Professionalism
- Analytical skills
- Decision making
- Time management
- Problem solving
- Teamwork
- planning
- Risk management
- RRA Business Acumen
- Ability to maintain accurate records and reporting
- Flexibility and adaptability
- Technology awareness
- Commitment to continuous learning
|
| Required Experiences |
- 2 years experience in Data Science
|
