Senior Specialist: Data Analytics (Internal Audit)

SUMMARY:
A prominent insurance and financial services company based in Johannesburg with a growing presence in several international markets is looking for a Senior Specialist: Data Analytics to join their Internal Audit team.

POSITION INFO:
This role offers the opportunity to leverage data-driven insights and advanced analytics to enhance our audit processes and support strategic initiatives.

As the Senior Specialist: Data Analytics, you will play a crucial role in providing analytical support and insights to the Internal Audit team. Your expertise will help identify trends, anomalies, and risk areas within the group, its subsidiaries, and key partners. You will work closely with audit teams to improve audit efficiency and effectiveness through the application of advanced analytical tools and techniques, in alignment with our audit plans, methodologies, policies, and procedures.
Ready to be part of something big? Apply now by sending your CV to


Duties:

• Support the Data Analytics Manager in developing and executing audit/advisory plans.
• Contribute to internal audit strategic objectives, focusing on continuous auditing, monitoring, and data-driven insights.
• Develop a comprehensive understanding of the risk universe, internal controls, and associated regulations.
• Prepare and execute data analytics fieldwork using tools such as Python and SQL.
• Design and visualize trends and insights through dashboards using Power BI.
• Collaborate with audit teams to integrate data analytics into audit workflows.
• Adhere to project budgets, schedules, and scopes effectively.
• Complete required training and development programs as part of your Individual Development Programme (IDP).
• Contribute to team culture and attend social committee activities.

• Matric (Garde 12)
• Degree or diploma in IT, Data Science, Statistics, or Audit.
• Professional certifications or qualifications in Python, SQL, Power BI, machine learning, or related fields are preferred

• Minimum 5 years of data analytics experience, ideally in an internal audit or financial services environment.
• Proven proficiency in Python for data analysis, automation, and machine learning.
• Experience with data visualization tools (e.g., Power BI, Tableau, QuickSight).
• Financial services or insurance industry experience is preferred.
• Advanced knowledge of Python libraries (e.g., pandas, NumPy, scikit-learn) and database structures.
• Understanding of machine learning algorithms, internal audit standards, and data governance principles.
• Ability to translate complex data into actionable insights for non-technical audiences.
• Strong teamwork and collaboration skills.

• Data Analysis
• Technical Proficiency
• Database Management
• Analytical Tools
• Internal Audit Knowledge
• Communication Skills
• Project Management
• Problem-Solving
• Attention to Detail
• Strategic Thinking
• Collaboration
• Innovation
• Stakeholder Management
• Adaptability
• Ethical Standards
• Continuous Learning
• Customer Orientation

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