Graduate, Trainee Data

• 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.
• 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.
• Comply with all applicable policies standards systems processes procedures and data governance standards so that all relevant risk and governance requirements are fulfilled while consistently delivering quality products and services.
• 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.
• 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.
• 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.
• Identify opportunities for automation of repetitive reports and assist with the development of look up or reference tables that will facilitate the interpretation of datasets to reduce human error and to improve the standard and quality of reports produced.
• Perform data preparation which includes data cleaning standardisation analysis and daily use of data sources. Complete data
   

Qualifications :

Qualification

A minimum degree in BSc Computer Science Information Systems Computer Systems Engineering or any IT-related field. 

 Practical experience in Data analytics experience in data science will be an added advantage. 

Knowledge

• Knowledge in  basic data and information lifecycle  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
• The knowledge and understanding of more advanced analyses and the way in which financial ratios trends business and value drivers interact.
• Knowledge of business concepts entities (definition ownership use semantics and syntax) specific to the Banking and Financial Services industry.
• The ability to analyse statistics and other data interpret and evaluate results and create reports and presentations for use by others
• The ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintentional alterations or loss of data.

Additional Information :

Behavioural Competencies:

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Documenting Facts
• Examining Information
• Following Procedures
• Interpreting Data
• Managing Tasks
• Meeting Timescales
• Producing Output
• Upholding Standards

Technical Competencies:

• Data Analysis
• Data Integrity
• Effective Design
• Quantitative Analysis
• Written Communication

Remote Work :

No

Employment Type :

Part-time