Data Analyst Discovery & Profiling

Role Name: EIM Data Analyst Discovery & Profiling

Role Description:

•                  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 methodology.

•                  Advanced knowledge of Information Management Business Analysis (minimum of 5 years’ experience in Information Management).

•                  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 scope.

•                  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 scope.

•                  To establish relationships between data elements and their impact on the business.

•                  To conduct data analysis to determine various categories of data and information.

•                  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, etc.) as data transitions from source to destination and data at rest.

•                  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 Testing.

•                  Business Analysis Measure and Feedback Report;

•                  Review Training documentation;