Graduate, Trainee

• To provide accurate reliable and timely data analysis support for an allocated portfolio across multiple products and/or segments across the PPB lifecycle 
• 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 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.

Qualifications :

Qualifications

• Minimum: BSc in Computer Science Information Systems Computer Systems Engineering BSc in Data science or any IT-related field.
• Practical experience in data analytics (data science experience is an added advantage

Knowledge/Technical/Expertise

• 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.
• Knowledge of Banking & Financial Service
• Database Management: Oracle MSSQL MySQL
• BI Tools: Power BI Tableau
• Programming: Python R MATLAB
• Knowledge of Descriptive Diagnostic Predictive and Prescriptive Analytics
• Familiarity with retail banking products and market dynamics is an advantage.

Additional Information :

Behavioural Competencies:

• Articulating Information
• Challenging Ideas
• Checking Things
• Convincing People
• Documenting Facts
• Embracing Change
• Examining Information
• Exploring Possibilities
• Interacting with People
• Interpreting Data
• Producing Output
• Providing Insights

Remote Work :

No

Employment Type :

Part-time