Internal Auditor - Data Analytics
15 Alice Lane, South Africa
Absa Group
Home at Absa Group. Providing comprehensive banking services across Africa. Discover Home with Absa Group. Learn more about our banking services in AfricaEmpowering Africa’s tomorrow, together…one story at a time.
With over 100 years of rich history and strongly positioned as a local bank with regional and international expertise, a career with our family offers the opportunity to be part of this exciting growth journey, to reset our future and shape our destiny as a proudly African group.
Job Summary
The core responsibilities of the Data Analytics Analyst are to:• Act and deliver in accordance with Internal Audit plans, methodologies, policies and procedures
• Able to adapt to change with an agile working environment
• Execute scoped work (as data analyst and/or data scientist)
• Drive advancement and development in the analytics space through defined strategic initiatives
Job Description
Accountability: Delivery
- Arrange access to data warehouses and regularly required data sources.
- Arranging the secure receipt of data files from business via multiple channels.
- Creation of a data dictionary including definitions and availability (where appropriate).
- Build and maintain common data sets regularly required by audit delivery teams.
- Assist with data cleaning and preparation for audit delivery teams.
- Build and maintain a library of re-usable automated auditing programmes and functional specifications.
- Develop sustainable and re-useable Data Analytics models, programs and dashboards to improve the efficiency of ABSA Group Internal Audit and to improve audit coverage.
- Development of data analytics models and programmes.
- Support audit delivery teams with the development of complex/insightful data analytics tests.
- Adhering to data transfer and security requirements.
Accountability: Engagement and Strategy Management
- Executing on delivery of strategic initiatives.
- Support audit delivery teams with the identification and delivery of analytics solutions.
- Provide training to audit staff on how to develop and execute basic analytics programs.
Accountability: Stakeholder Management
- Build relationships with data warehouse stakeholders and data providers.
- Share knowledge with Internal Audit colleagues and peers in the business. Be open to learn from others through feedback given to you.
- Treat all colleagues fairly, regardless of background or circumstance.
- Be comfortable to challenge others; be prepared to be challenged.
- Update the Data Analytics Champions and Data Analytics Leads with progress of development.
- Build relationships with key clients including data warehouse stakeholders and business MI teams.
- Build strong relationships and mutual trust with all internal stakeholders (i.e. audit teams).
- Understand the needs of client/customer and make decisions using this knowledge.
Accountability: Knowledge Management
- Own and drive personal learning to support achievement of career aspirations.
- Improve technical knowledge through self-learning or training including mandatory CPE requirements.
- Knowledge sharing with Internal Audit colleagues and peers in the business.
- Develop/implement data analytics driven business-monitoring programmes to support the Internal Audit teams.
- Research & Development of data analytics tools and trends to bolster the team's knowledge
- Where applicable, attend conferences and training to grow the awareness and knowledge base around Analytics and/or Internal Audit.
Accountability: Decision-making and Problem Solving
- Develop analytics for all areas of the audit process (risk assessment, controls testing and outcomes testing), as well as using analytics as a tool to support processes and procedures throughout the process.
- Update the Data Analytics Director and audit team with progress and observations
- Proactively take on additional tasks as requested by Vice Presidents / Directors / Managing Directors.
- Suggest practical ways of improving audit work through the use of analytics.
Education and Experience Required
- B Degree (Informatics, Statistics, Computer Science, Actuarial Science, Commercials)
- Higher Diploma/Certification in Data Analysis or Software Development
- Programming / software development experience
- Knowledge of data Visualisation/Dashboards tools
(To name a few: Qlik, Tableau, PowerBI, R ggplot, R Shiny, Python) - 5 years analytics experience
- Relevant professional qualifications or certifications
(To name a few: Statistics, Data Analysis, Data Mining, SAS Certification, DBMS, SQL, TERADATA, Data warehouse, R, Python, Machine Learning) - Experience with advanced analytics
(To name a few: Predictive and prescriptive analytics, development and/or execution of software dashboards) (strongly preferred) - Knowledge about new and emerging data analytics technologies (preferred)
- Practical financial services industry knowledge
- Experience in risk based auditing or risk/control activities
Knowledge & Skills:
- Extensive experience in data analytics (at least 5 years).
- Practical experience of development and execution of analytics programs to assess risk and related control environments as part of an internal or external audit role/function, or as part of a risk management function.
- Good database knowledge and understanding.
- Developing of Visualisation Dashboards.
- Programming / software development experience.
- Practical understanding of relevant regulatory environment.
- Proven track record of high performance in previous roles.
- Track record in influencing senior stakeholders.
- Leading teams responsible for delivering analytics/self-serve tools etc.
- Practical experience with - Data Analysis/Mining, SAS, R, Python, SQL, Server/Oracle/TERADATA/Other RDBMS.
- Strong practical knowledge of data mining, data analysis and visualization techniques.
Competencies:
- Deciding and initiating action
- Learning and researching
- Entrepreneurial and commercial thinking
- Relating and networking
- Adapting and responding to change
- Persuading and influencing
- Creating and innovating
- Time management and ability to deliver on deadlines
- Proactive and energetic
- Forward thinking
Special work requirements:
Proactive behaviour in a dynamic environment is key. Ability to identify a need and self-start is critical. Building solutions and packaging deliverables in analytical packages is key for delivery.
Education
Bachelor`s Degrees and Advanced Diplomas: Business, Commerce and Management Studies (Required)Absa Bank Limited is an equal opportunity, affirmative action employer. In compliance with the Employment Equity Act 55 of 1998, preference will be given to suitable candidates from designated groups whose appointments will contribute towards achievement of equitable demographic representation of our workforce profile and add to the diversity of the Bank.
Absa Bank Limited reserves the right not to make an appointment to the post as advertised
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Computer Science Data analysis Data Analytics Data Mining Data warehouse Machine Learning Oracle Power BI Python Qlik R R&D RDBMS Research SAS Security SQL Statistics Tableau Teradata Testing
Perks/benefits: Career development Conferences Team events
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