BI Data Analyst I at Nedbank

Job Purpose
To provide data management services for the Group Technology data domain.  Provides a comprehensive range of data management services to key GT stakeholders like GT Project Management, GT Quality Assurance and Infrastructure, GT HR, GT Customer Engagements/systems, GT Finance, GT Architecture, GT Application Development, GT Governance and Compliance and data consumers across the Nedbank Group.

As a member of the GT DMO Team, the BDM will engage with senior GT and technical system stakeholders to collect requirements for data improvements in its various services. The BDM will investigate and analyze data requirements; find and address data issues. 

The BDM will perform the role of Data Quality Manager. The BDM will help develop, implement and manage DQ processes to ensure the improvement of data quality in conjunction with the DQ CoE. 

The BDM acts as custodian and provider of various data related services for GT, in collaboration with the Technology and Business CoEs.  The BDM will perform a practical data governance role to ensure the GT aligns with Nedbank and industry objectives, apply risk management data principles as well as to ensure the implementation and adherence to data controls.

The position will require strong communication and customer liaison skills, the ability to work independently, a strong analytical and data mind set, technical modelling and DQ skills and the ability to rally people to a common course.

Key Responsibilities

• The implementation of Data Governance policies while executing data management services on projects or daily business operations in all GT domains.
• Contributing to the development of standards for data within the GT domains in alignment with the Nedbank Group.
• Documenting and communicating the rules and standards around the data in all Group Technology domains.
• Defining data quality rules and business metadata in collaboration with the source data owners and data consumers for all key data elements
• The translation of business defined data quality rules to technical data quality rules which will be executed when data is loaded to the Nedbank Data Reservoir
• The refinement of data quality rules based on data consumer requirements which initiates data quality remediation efforts in collaboration with data source owners in GT.
• Ongoing monitoring and resolution of data quality issues pertaining to data in the GT domains.
• Validating automated data lineage and mapping of data lineage manually.
• Establishing and maintaining collaborative partnerships with data owners in Group Technology and data consumers, represented by various Clusters in the Nedbank Group (Exco, Manco, and Regulatory Reporting).
• Evaluating business requirements and acts as liaison between data owner and data consumers to ensure business value is derived.

Preferred Qualification

• National Senior Certificate
• Advanced Diplomas/National 1st Degree in Business Management / data related diplomas or degrees

Essential Certifications

• Data Management (DAMA) Certification, Certification/formal training in relevant technology

Preferred Certifications

• Business degree, IT degree, Engineering degree (Industrial)
• Lean/Six Sigma certification preferred, or 1-3 years of Lean

Type of Exposure

• Built and maintained stakeholder relationships
• Client and Relationship Results
• Developed and Implemented Communications Strategy
• Improved Processes and Culture
• Manage internal process
• Managed Relationships
• Managed Self
• Supported Transformation, Change and continued Improvement
• Minimum Experience Level
• 8 years relevant experience of which 3-5 years experience is in a data management /business role
• Conceptual and details
• Stakeholder Engagement
• Consulting Skills
• Able to communicate
• Exposure to Data and Business Data Management
• Banking experience
• Advantageous experience (not a disqualifier):
• DAMA experience
• Experience as a Business Data Manager

Advantageous experience (not a disqualifier):

• DAMA experience
• Experience as a Business Data Manager

Technical / Professional Knowledge

• Administrative procedures and systems
• Banking knowledge
• Banking procedures
• Business principles
• Business terms and definitions
• Data analysis
• Governance, Risk and Controls
• Microsoft Office
• Relevant regulatory knowledge
• Relevant software and systems knowledge
• Business writing skills
• Cluster Specific Operational Knowledge

Behavioural Competencies

• Coaching
• Communication
• Initiating Action
• Managing Work
• Quality Orientation
• Technical/Professional Knowledge and Skills