Eim Data Analyst Discovery

Identify data profiles of datasets discovered to determine completeness and compliance as well as for the purpose of inventory management.
- Establish relationships between data elements and their impact on the business.
- Understand business requirements and address matters of data completeness and data quality.
- Conduct analysis to track dataset lifecycle from its initial generation to its eventual archival and/or deletion.
- Conduct data analysis to determine various categories of data and information.
- Conduct data analysis to determine the importance of the data to the business and the probability of reuse.
- Produce regular reports and provide status updates as well as information for business domain.
- Develop and manage stakeholder relations effectively to promote data management across the organisation and support reliable decision-making and appropriate data usage.
- Provide input as data transitions from source to destination.
- To provide data story-telling through visualization to ensure effective understanding and interpretation of information.
- To provide and ensure effectiveness of data visualization techniques to enable deeper business insight.
- To develop and manage stakeholder relations effectively to promote data visualization awareness across the organisation improve insight and decision making.
- To make large and/or complex data more accessible, understandable and usable
- To transform, improve and integrate data, depending on the business requirements.
- To combine the data result sets across multiple sources (also known as the data federation) to provide a landscape view.
- To deliver the data in a useful and appealing way to users.
- To provide aggregated views and also be able to drill down to the details at a level of columns and rows.
- Create robust, reusable data querying, transformation, and visualization processes.
- Leverage analytics and visualization tools to present information in a way that drives fact-based decision making
- Develop analytical reports and represent large, complex sets of data through visual representation

**Key deliverables**:

- 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

**Competencies**
- Knowledge of the Information Lifecycle Management (ILM) (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

**Minimum qualification required**:

- B degree or equivalent (e.g., BCom Informatics, BSc Information Systems, BSc Informatics, BTech)
- Data Management Certification (e.g. DAMA CDMP) will be an added advantage
- Minimum eight years’ experience in business analysis
- Solid exposure to Agile methodology.
- Advanced knowledge of Information Management Business Analysis (minimum of 5 years’ experience in Information Management).

**Job Type**: Temporary
Contract length: 18 months

**Education**:

- Bachelors (preferred)

**Experience**:

- business analysis: 7 years (preferred)