Ajira:: 20 Data Management Officer II Vacancies Open at TRA

The Tanzania Revenue Authority (TRA) was established under the Tanzania Revenue Authority Act No. 1 of 1995. The Authority is a semi-autonomous agency of the government responsible for the administration of the central government taxes as well as several non-tax revenues. TRA is currently implementing the Sixth Corporate Plan (CP6: 2022/23—2026/27) with the vision of “A Trusted Revenue Administration for Socio-economic Development” and the mission of “We Make It Easy to Pay Tax and Enhance Compliance for Sustainable Development’.

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Responsibilities Qualifications and Experience

TRA would like to recruit qualified, dynamic, and ethical personnel to fill positions in the Data Management Officer II

Tanzanians who meet the requirements are consequently encouraged to apply for the 20 Data Management Officer II vacancies open at TRA positions:

Responsibilities

Data Engineer

To design, implement and maintain scalable data infrastructures to collect, process, store and transform data from different sources;
To design, implement and improve databases for efficient data storage and retrieval;
To implement automated data validation mechanisms to detect anomalies, missing data, or errors in taxpayers records;
To implement data backup, recovery, and disaster recovery plans to prevent data loss;
To ensure data quality standards such as accuracy, consistency and integrity when consolidating data from various systems from both internal and external sources;
To document data architecture framework, processes and systems to ensure transparency and knowledge sharing within the Authority;
To perform data cleaning tasks to correct data issues relating to formatting, duplication, or invalid entries;
To support the implementation of TRAs Data Governance Policy and Framework;
To design reporting tools and automated systems for generating analytical reports and dashboards based on requirements from different relevant stakeholders within the Authority;
To work in collaboration with IT security teams to ensure data privacy, security and compliance with regulatory requirements with regard to taxpayers information;
To support Data scientists and Data Analysts in preparing data for advanced analytical tasks;
To monitor and troubleshoot issues with data systems, addressing systems performance challenges and ensure high availability;
To provide relevant training, awareness sessions and guidance to other staff on data engineering best practices and
To perform any other duty assigned by the supervisor.

Data Analyst

To conduct advanced data analysis to identify trends, anomalies, potential risks and patterns to support revenue collection optimization;
To collect, clean and organize data for analytical purposes;
To prepare periodic analytical reports/Dashboards/Visualizations to explain trends and enhance tax compliance strategies;
To crosscheck data quality dimensions through data cleansing, validation, and standardization processes;
To partner with other departments and the risk management section to provide data-driven insights into actionable strategies;
To conduct descriptive and prescriptive analytics to improve operational efficiency;
To ensure compliance with data governance policies and framework, data privacy regulatory requirements and security standards;
To maintain and manage third-party data integrations for effective utilization of data received and/or shared by the Authority;
To promote data literacy within the Authority by providing awareness sessions and training to enhance data literacy to improve data-driven strategic decision-making and
To perform any other duty assigned by the supervisor.

Qualifications and Experience

Bachelors Degree or Advanced Diploma in one of the following ields: Data Science, Data Engineering, Business Analytics, Computer Engineering, Actuarial Science, Mathematics, Statistics, Computer Science, Software Engineering, Information Technology or equivalent qualifications from a recognized Institution. Must have one of the following certifications: Google Data Analytics Professional Certificate, IBM Data Analyst Professional Certificate, Microsoft Certified Power BI Data Analyst Associate, SAS Statistical Business Analyst Professional Certificate, CompTIA Data, Meta Data Analyst Professional Certificate, Microsoft Co-pilot for Data Science Specialization, IBM Machine Learning Professional Certificate, Certified Analytics Professional (CAP), OECD Advanced Analytics for Tax Compliance or Certified Advanced Tax Analytics Professional and Possess one of the following knowledge areas: statistical analysis and Machine Learning Techniques, SQL, Database Systems, Data Warehousing, cloud-based data solutions or ETL knowledge.