The scope will include but will not be limited to: 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. To be considered for this position (EIM Data Analyst Discovery & Profiling), candidates must have: 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 skills Interpersonal 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;
Eim Data Analyst Discovery & Profiling
BUSIKA
pretoria, pretoria
Published 10 days ago
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