Analyst: Data Management at Capitec Bank

Purpose Statement

• To support the execution of the Data Optimisation framework, policies and standards by applying data management techniques and methodologies.
• Responsible for the operational execution of the effective adoption and oversight of one or more of the Data Management portfolios across the organisation. 

Experience:

• At least 7 years’ proven experience within data management and data warehousing environment
• At least 7 years’ proven experience in translating business requirements into data management requirements/rules
• Experience in analysis of the business artefact (ERD, data models, BRS, etc.) to support the business in creating data quality/metadata rules and requirements
• Able to perform data analysis

Knowledge:

• Data Warehousing on an enterprise level
• Cloud data estates (e.g., AWS and Azure)      
• Data Governance and Data Management
• Data Management toolsets (Collibra & Manta)
• SDLC / DevSecOps
• Conceptual Data modelling 
• Basic data analysis using SQL (PostgresSQL)
• Understanding of the concepts of data visualisation
• Software Testing and Quality Assurance
• Databases and Database design

Ideal: 

• Able to perform data analysis and create the required data quality rules using the Collibra toolset
• Able to automate the scans for metadata within the Collibra toolset
• Wide range of business domain knowledge e.g., retail banking
• Data Analysis experience in a finance/banking environment
• Engage with senior stakeholder to promote the value of metadata and data quality in a data centric organisation
• Able to independently manage and deliver a data management initiative in the product lines/teams

Knowledge:

• Collibra DGC & DQ
• Banking systems environment
• Agile development life cycle 
• Quality Assurance (QA)
• AWS Redshift, S3, Athena, Glue

Qualifications (Minimum)

• Grade 12 National Certificate / Vocational

Qualifications (Ideal or Preferred)

• A relevant tertiary qualification in Information Technology or Information Management

Knowledge
Minimum: 

• Solid understanding of Data Management Platforms (Cloud Services)
• IT systems development processes
• Business analysis and design
• Familiar with regulatory requirements such as POPI, GDPR and PCI DSS
• Data platform solution architecture and data architecture
• Corporate and data governance practices
• DAMA-DMBOK principles
• Solid understanding of Meta-data and data quality platforms

Ideal: 

• Contemporary data governance and management practices
• Data engineering skillsets
• Data Management KPA management
• Agile development life cycle
• Solid understanding of data platform solution architecture and data architecture
• Workflow and process re-engineering
• Advanced knowledge of Meta-data and data quality platforms 

Skills

• Business writing skills
• Communications Skills
• Attention to Detail
• Analytical Skills
• Problem solving skills