Business Data Steward

Job Classification

Requisition - 140621-Melissa Cloete

Business Unit - Nedbank Wealth Management SA 

Location - Nedbank Rivonia Campus, 135 Rivonia Road, Sandton, JHB

Closing Date - 3 July 2025

Employment Equity Statement: Preference will be given to Applicants from Underrepresented Groups

Job Family

Information Technology

Career Stream

Data

Leadership Pipeline

Manage Self: Operational (MSO)

FAIS Affected

Job Purpose

To execute work on projects as a Data Analyst to ensure that relevant and high-quality data is available in a timely manner from the Golden Sources into the Enterprise Data Warehouse and Lines of Business. The Data Analyst is responsible to stream line the data ingestion process through data collection and delivery process through provisioning. 

Job Responsibilities

• Perform data analysis activities within data collection, ingestion and Data as a Service contexts.    
• Liaise with business stakeholders to elicit and understand data requirements and translate them into technical analytical tasks, aligning efforts with business needs.    
• Responsible for unpacking and understanding data, from analysing data flows, to data profiling, in order to troubleshoot data issues or create detailed documentation incorporating findings to provide specifications for downstream processes such as data ingestion, provisioning or other analytical processes    
• Perform data testing and validation activities such as Error Resolution,  Data Quality Validation, Data Ingestion Configuration, and Data Life-cycle end to end validation    
• Make data-driven recommendations for data provisioning enhancements (data cleansing, transformation, and validation) based on discovery insights.    
• Ensure data analysis deliverables are delivered according to project plan and budget to meet commitment to stakeholders.     
• Collaborate with various teams including Data Modelers, Data Engineers,Data Architects, Data Governance to align data discovery insights and implement basic data solutions.    
• Ensure that data analysis activities adhere to regulatory requirements, maintaining compliance with all relevant data policies, privacy standards, and ownership guidelines    
• 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.    
• Maintain up to date knowledge of latest developments in the Data Analysis domain,  including reading; continuous professional development courses; seminars and conferences    
• Support the achievement of the  business strategy, objectives and values     
• Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.).    
• Participate and support corporate responsibility initiatives for the achievement of business strategy    
• Identify opportunities to improve or enhance processes

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

Field of Study:BSc, BCom

Essential Certifications

• DAMA certified data management professional (CDMP)or Related certification

Preferred Certifications

Data Analysis and Data Modelling, Cloud (Azure, AWS), DEVOPS or Data engineering certification, DAMA, Any Data Science certification, SAS certification, SQL, any Microsoft Power tools will be an added advantage.

Minimum Experience Level

Total number of years of experience:1-2 Years

Type of experience:• 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 a plus. • 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. • Excellent communication skills and ability to work collaboratively in a team environment.

Technical / Professional Knowledge

• Data Warehousing
• Data profiling - intermediate
• Data Visualisation
• Data Pipelines and ETL tools (Ab Initio, ADB, ADF, SAS ETL)
• Databases (PostgreSQL, MS SQL, IBM DB2)
• Data Analysis and Data Modelling
• Programming (Python, Java, SQL)

Behavioural Competencies

• Technical/Professional Knowledge and Skills
• Collaborating
• Planning and Organizing
• Innovation
• Continuous Learning

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Please contact the Nedbank Recruiting Team at +27 860 555 566