3 weeks ago
Job title : Senior Data Analytics Specialist
Job Location : Gauteng, Johannesburg
Deadline : September 28, 2024
Quick Recommended Links
What you’ll do:
Strategy and Planning:
- Support the Data Analytics Manager in developing an audit/advisory plan.
- Deliver on the internal audit strategic objectives, specifically those involving continuous auditing and monitoring, as well as data-driven insights and reporting.
Operational/ Technical:
- Develop a thorough understanding of the overarching risk universe, processes and associated internal controls, issues, pertinent regulations and risks associated with the engagement scope.
- Arrange access to data sources and secure receipt of data files from the 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 Group Internal Audit and to improve audit coverage.
- Support audit delivery teams with the development of complex/insightful data analytics tests.
- Prepare data analytics audit programs that are aligned to the Risk and Control Matrices of the assigned audits.
- Ensure the quality and integrity of data used in analytics projects.
- Execute data analytics fieldwork using relevant tools such as Python and SQL.
- Design dashboards to visualise trends and insights using tools such as Power BI.
- Develop data analytics scripts for continuous monitoring purposes.
- Review own working papers for quality and completeness before sending them to the Audit Manager for review.
- Document findings for discussion with auditee/management, as well as validate exceptions for factual correctness.
- Take responsibility for clearing and finalising all review notes and queries.
- Manage client interaction for allocated areas of scope.
- Stay abreast of industry trends and advancements in data analytics and audit technology, as well as new regulatory pronouncements.
- Track audit process status for allocated section and effectively communicate any anticipated challenges, delays, etc.
Stakeholder Engagement:
- Collaborate with audit teams to integrate data analytics into the audit workflow.
- Build mutually beneficial relationships with internal and external stakeholders.
- Practice effective communication skills.
- Ensure a thorough understanding of the business environment, strategies, challenges and risks as well as prevailing legislation and emerging industry trends.
Financial Management:
- Effectively adhere to the budget (schedule, cost and scope) applicable to projects, as well as areas of responsibility.
Human Resources:
- Complete the necessary training as agreed in IDP (Individual Development Programme).
- Take responsibility for own career and performance management.
- Contribute to the social committee and attend social activities.
- Expected strategic/operational involvement: 20%/80%
Other
Your expertise:
- Minimum 5 years of data analytics experience, preferably within an internal audit or financial services environment.
- Proven experience with Python for Data Analysis, Automation and Machine Learning.
- Experience with data visualisation tools (e.g., Power BI, Tableau, QuickSight, etc.).
- Financial services knowledge and/or experience, with insurance industry experience preferred.
- Strong proficiency in Python and its libraries (e.g., pandas, NumPy, scikit-learn).
- Advanced understanding of database structures.
- Good understanding of machine learning algorithms and techniques.
- Knowledge of the business environment and value-chain.
- Understanding of internal audit standards, methodology and best practice.
- Basic knowledge of data governance principles and frameworks (e.g. DAMA).
- Advanced practical knowledge of data mining, data analysis and visualisation techniques.
- Proven track record of high performance in previous roles.
- Ability to translate complex data into actionable insights for non-technical audiences.
- Team player, able to collaborate and support peers and colleagues.
Qualifications required:
- A relevant degree or diploma in IT, Data Science, Statistics, or Audit is necessary.
- Relevant professional qualifications or certifications in Python, SQL, Power BI, machine learning, R, etc.
How to Apply for this Offer
Interested and Qualified candidates should Click here to Apply Now
- Research / Data Analysis jobs