Job Description
Hello Future Data Analyst!RMB is a place where exceptional people create their own opportunities by challenging the conventional and driving sustainable impact.
United by our proud heritage, strong ethics and philosophy of Traditional values. Innovative ideas, it’s the magic of our people and culture that sets us apart.
Now, is the time to imagine your next move with South Africa’s number one employer in Financial Services for 2025, where you can embrace the power of collective thinking to unlock unique opportunities for our clients and society.
The role entails understanding the various data sources, how the data flows through the organization and provide expertise and support through translating business needs into tangible solutions by analyzing data, conducting root cause analysis, and recommending improvements to data pipelines, data quality, metadata, master and reference data, data access management.
Are you someone who can:
- Understand data sources and map to target systems/ solutions.
- Advise team on data-oriented solutions (People, Process and Technology).
- Recommend data/information architectures from business requirements.
- Execute on data modelling standards, principles, frameworks and tools.
- Work closely with Data head/Architect head to fulfill the collaborating with all parties to understand data needs.
- Coordinate and priorities the data modelling work within the Business area.
- Involved in the entire data modelling lifecycle i.e. Logical to Implemented Physical Model and Semantic Model.
- Understand the reference and master data requirements and co-ordinate building out of data products with relevant stakeholders.
- Drive implementation and monitoring of data quality controlsEnsure adoption and capturing of Metadata by different BU’s.
- Provide transformation rules to Data Engineers.
- Understand business rules and requirements to solve specific use cases.
- Ensure that process conforms to business objectives and complies with Group Information Architecture.
- Apply company, business, Group and/ or relevant industry knowledge for analysis.
- Prepare and present findings on data analysis in written and verbal reports to key stakeholders.
- Assist with the mapping of the various source systems to the relevant enterprise data model elements (engage with the Data Modelers where the models need to be extended), and enterprise reference data.
- Query and connect data from disparate sources to identify areas where changes are required.
- Conduct analysis, time-series analysis, and classification models and deliver accurate and high-quality analysis (e.g. test design and analysis).
- Utilize methodologies and methods for accessing, analyzing and presenting data.
- Research new data sources and analytical tools with the aim of improving the process and underlying data analysis Understand the quality of data and engage with relevant stakeholders to correct data (if and when necessary), thereby ensuring usability is in line with requirements.
- Keep up to date with new data assets and products in order to identify new opportunities, capabilities and trends that would add value to business.
- Check accuracy of data and if it is within relevant thresholds (reasonability) and compare the new output with existing requirements.
- Analyse and recommend changes to data pipelines of existing and new initiatives with the aim of aligning these to avoid duplication in data pipelines, inconsistent mappings, etc.
- Partner with stakeholders to grasp problem specifics - collects, processes and analyses data to quantify the scope, nature and severity of the problem.
- Engage with Data teams to understand the data landscape.
- Engage and drive conversations with relevant stakeholders to unpack project and requirements.
- Evaluate options based on business requirements and provide input into viable solution based on analysis.
- Work with the relevant Data stakeholders when new data or changes to existing solutions are required and manage timelines and expectations with business.
- Identify opportunities/changes which need to apply in Data Analytics solutions (e.g., Cubes/Production reports).
- Attend relevant priority session and provide motivation to get item prioritized.
- Ensure proper handover and provide relevant artifacts to stakeholders
Qualifications & Experience:
- 4-5 years Data Analytics/ Information Architecture experience
- Minimum Qualification: BSc in Computer Science; Information Systems; Information Technology and/or ND Information Technology
- Strong analytical and problem-solving skills
- Proficiency in SQL, Power BI and Data Warehousing /Frameworks
- Knowledge of financial systems and compliance regulations
- Ability to interpret complex data and communicate findings clearly
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Job Details
Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.
28/08/25
All appointments will be made in line with FirstRand Group’s Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.
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