To discover data by applying data discovery mechanisms to establish the data assets, within the context of the business value drivers, processes and data products, within
To identify data profiles of data assets discovered to determine data sensitivity, quality, context of use and legislated aspects to inform the data assets handling protocols.
To implement standards, guidelines, processes, procedures for data analysis within
To establish relationships between data elements and their impact on the
To conduct data analysis to determine various categories of data and
To apply data valuation techniques to determine the importance of the data to business and the probability of reuse.
To generate regular reports, deliver actionable insights, and provide timely status updates and information to support the management of data domains.
To provide inputs (legislative prescripts, sensitivity classifications, access/authorisation rules, ) as data transitions from source to destination and data at rest.
Candidate Requirements
B degree or equivalent (e.g., BCom Informatics, BSc Information Systems, BSc Informatics, BTech), and
Data Management Certification (e.g., DAMA CDMP) will be an added advantage
Minimum eight years’ experience in business analysis; and
Solid exposure to Agile
Advanced knowledge of Information Management Business Analysis (minimum of 5 years’ experience in Information Management).
Key Performance Measures
Knowledge of the Information Lifecycle Management (ILM) (essential)
Basic software applications (e.g., Microsoft (MS) Word, MS Excel, MS PowerPoint, Internet and e‑mail) (essential)
Skilled in using Data Quality tools (required)
Analytical thinking
Understand and analyse business processes
Communication skills (verbal and written)
Facilitation skills
Quality orientation
Negotiation skillsInterpersonal relationship building and maintaining skills
Facilitation of workshops skills
To build customer loyalty
Strong team player
Motivated self-starter
Enterprising
Develop Business Cases
Business Analysis Work Plan;
Business Requirements Specification Document;
Functional Requirements Specification Document;
Information Matrix;
User Stories;
Change Request Document (where applicable);
Participate in Quality Assurance;
Participate in User Acceptance
Business Analysis Measure and Feedback Report;
Review Training documentation;
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EIM Data Analyst Discovery & Profiling • Pretoria, Gauteng, ZA