Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

To provide accurate, reliable and timely data analysis support for an allocated portfolio across multiple products and/or segments across the credit lifecycle (e.g., originations, account management, collections) in order to inform business decision making and strategy formulation.

Bachelor of Commerce, Mathematics, statistics, Information Technology or related.

Experience: 

• 1-2 years: This role requires basic data and information lifecycle experience with some exposure to BI technologies and practices. Good reporting skills; including MS Excel, MS Access, MS Word and/or SQL to access, combine and analyse multiple data sources preferred.

Key Responsibilities:

• Analyse customer data and present findings and insights to the business to enable a deeper understanding of customer behaviours and to drive customer centric and data driven decisions.
• Consolidate and integrate all data to ensure that reporting outputs are rationalised to avoid duplication and ensure that generation of MI that is reconcilable to trusted data sources.
• Engage with business to gain a comprehensive understanding of goals, processes and challenges, identify and propose measures and Key Performance Indicators and prepare the Business Requirements Document, in line with the MI framework, that can be translated into functional and technical specifications by the design and development team to support the achievement of business objectives.
• Perform data preparation which includes data cleaning, standardisation analysis and daily use of data sources. Complete data testing as part of data migration and new system implementation projects to ensure that the integrity of the data is maintained, and all reports are reliable and accurate.
• Determine the data required, identify the appropriate data sources and where required integrate multiple data sources in support of the business specifications. Formulate and employ robust data analysis techniques to ensure adequacy, and legitimacy of data.

Behavioural Competencies:

• Articulating Information
• Developing Expertise
• Embracing Change
• Examining Information
• Interpreting Data

Technical Competencies:

• Data Analysis
• Data Integrity
• Financial Analysis
• Knowledge Management
• Knowledge of Banking & Financial Service