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The Kenya Revenue Authority (KRA) was established by an Act of Parliament, Chapter 469 of the laws of Kenya , which became effective on 1st July 1995 . The Authority is charged with the responsibility of collecting revenue on behalf of the Government of Kenya. A Board of Directors, consisting of both public and private sector experts, makes policy decisio...
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Job Purpose
This role is responsible for defining and identifying how the diverse and dynamic Data platforms support and enable our analytics platforms. This role has a focus on the Data Architectures and quality required for analytics to yield critical insights that will enhanced revenue Administration outcomes.
Key Responsibilities/ Duties / Tasks
Managerial / Supervisory Responsibilities
Support Data architecture for the decision support systems including rules, policies, standards and models that govern and define the type of Data collected and how it is used, stored, managed and integrated and its database systems.
Design Data structures and Data integration practices that are highly scalable
Document Data inventory and Data flow diagrams
Support the implementation of Data modelling best practices for decision support systems.
Execute Data quality rules and definitions consistent with Business strategies.
Support the development of Data quality metrics that identify gaps and ensure compliance with standards across the organization
Define standards for Data within assigned domain
Manage domains business glossary; business relationships, new elements & metadata
Maintains database dictionaries, monitors standards and procedures and integration of systems through database design.
Projects long-range requirements for database administration and design
Job Competencies (Knowledge, Experience and Attributes / Skills).
Academic qualifications
Bachelor’s degree in Computer Science, Information Science, Statistics or related field.
Professional Qualifications / Membership to professional bodies
Membership to a relevant Professional Body
Previous relevant work experience required.
Minimum 3 years experience in Data management working in organizations with mature Data governance capabilities, including standardized Data vocabularies and related capabilities (business glossaries, Data dictionaries, etc.)
Functional Skills, Behavioral Competencies/Attributes:
Ability to Create Data maps and the corresponding design for the work and Data flows including event handlers and transactions
Advanced Knowledge in:
Data integration and database development technologies and processes
Data Warehouse, ETL, Business Intelligence and Analytics tools
Designing complex Data models for operational, analytical, and reporting database applications.
Implementing Data Warehouse and Data Mart applications, incorporating Data extraction, Data transformation, and loading (ETL) processes,
Familiarity with Revenue collection practices and policies is essential.
Ability to translate complex technical terminology, concepts and issues in terms understandable to technical and non-technical management and staff
Strong interpersonal skills to resolve problems in a professional manner, lead working groups, negotiate and create consensus
Strong written and verbal communication skills, including the ability to quickly synthesize Data and develop recommendations.
Demonstrable behavioral analytical experience
Good communication skills, both written and verbal including effective presentation
Leadership qualities which include team work, good judgment, problem solving and decision-making skills
Proactive, self-motivated and adaptable to team environments
Meticulous and with attention to detail
Ability to multi-task as well as work under pressure
A person of integrity
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