Job Purpose
To support and maintain the data warehouse in line with the data model; metadata repository and to provide business intelligence analysis through performing strategic and operational support.
Responsibilities
- Structure data into compliance standards by adhering to metadata governance procedures according to Nedbank documented standards and formats.
- Manage final transformed data content by complying to prescribed standards for reviewing and publishing.
- Assist/govern population of datamart and metadata repository by complying to standards, systems, processes and procedures.
- Support business units by providing consulting services that delivers data and information relevant to their business.
- Perform data testing and validation activities such as Error Resolution, Data Quality Validation, Data Ingestion Configuration, and Data Life-cycle end to end validation.
- Utilize data discovery and profiling tools to enhance the data profiling process.
- Execute Basic SQL queries and other technical analyses to support data investigation and reporting.
- Develop and execute data quality checks to identify anomalies or inconsistencies in data, and identify patterns, relationships, and trends that impact data management and utilization.
- Contribute to internal/external information sharing sessions by attending formal and informal meetings.
- Manage vendor relationship interactions by conforming to vendor management office guidelines and principles.
- Deliver work according to customer expectations by prioritizing, planning and implementing requirements.
- Utilize resources by adhering to standards, policies and procedures.
- Align and continuously improve set processes by identifying innovation opportunities.
- Identify and mitigate risk by executing within governance.
- Resolve incidents by logging and tracking through correct channels.
- Keep abreast of legislation and other industry changes that impacts on role by reading the relevant newsletters, websites and attending sessions.
- Understand and embrace the Nedbank vision and demonstrate the values through interaction with team and stakeholders.
- Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers.
- Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed, experience practiced and certifications obtained and/or maintained within specified time frames.
- Ensure information is provided correctly to stakeholders by maintaining knowledge sharing knowledge with team.
- Contribute to a culture conducive to the achievement of transformation goals by participating in Nedbank Culture building initiatives.
- Participate and support corporate social responsibility initiatives for the achievement of key business strategies.
- Identify and recommend opportunities to enhance processes, systems and policies and support implementation of new processes, policies and systems.
Requirements
Essential Qualifications: Diploma
Preferred Qualification: Degree in Information Technology or Business Management, Mathematics/Statistics
Essential Certifications: Data Management (DAMA) Certification, Certification/formal training in relevant technology
Minimum Experience Level:
- 8 years relevant experience of which 3-5 years experience is in a data management/business role
- Proficiency in SQL and experience with database management and data profiling tools.
- Basic understanding of ETL processes and data integration concepts.
- Familiarity with data management and governance practices.
- Basic Experience with data visualization and reporting tools (e.g., Tableau, Power BI) is essential.
- Basic knowledge of data modeling and data warehouse architectures (e.g., star schema, snowflake schema).
- Strong analytical and problem-solving skills with attention to detail.
- Strong Stakeholder management skills are essential.
- Excellent communication skills and ability to work collaboratively in a team environment.