Senior Specialist:Data Analytics

SUMMARY:
Senior Specialist: Data Analytics Opportunity

POSITION INFO:
Our client is a well-established financial services group with a strong presence across South Africa and international markets. The organisation is known for its innovative approach to insurance and risk solutions, providing both personal and commercial cover.

With a reputation for driving positive impact in communities and a workplace culture that encourages curiosity, collaboration, and growth, this company offers the perfect environment for ambitious professionals who want to combine technical expertise with real business influence.

They are currently seeking a Senior Specialist: Data Analytics to join their growing team.This role offers the opportunity to work with diverse data sources, deliver insights that shape strategy.

If you are a data-driven professional ready to make a measurable impact in a dynamic, forward-thinking organisation, send your application now to

Duties:

• Design, build and maintain data analytics models, scripts, dashboards and reusable programs to support internal audit and continuous monitoring.
• Extract, clean, prepare and validate data from multiple sources, ensuring quality, accuracy and integrity for analytics projects.
• Support audit teams with data-driven insights, developing tailored analytics tests aligned to risk and control frameworks.
• Create and maintain common data sets, data dictionaries and documentation to improve audit efficiency and coverage.
• Execute advanced analytics using tools such as SQL, Python and Power BI to identify trends, anomalies and risks.
• Collaborate with stakeholders across the business to integrate analytics into the audit workflow and deliver meaningful insights.
• Prepare audit working papers, document findings, and present results to management and audit committees.
• Stay abreast of industry developments, regulatory changes and emerging technologies to enhance analytics capability.

• Matric (Grade 12)
• A relevant degree in Information Technology, Computer Science, Data Science, Statistics, Mathematics, or Auditing.
• Professional certifications in Python, SQL, Power BI, Machine Learning, or related data analytics tools (advantageous if not already obtained).

• Minimum of 5 years’ experience in data analytics, preferably within internal audit, risk, or financial services (insurance industry experience advantageous).
• Proven expertise in Python (pandas, NumPy, scikit-learn) for data analysis, automation, and machine learning.
• Strong proficiency in data visualization tools (e.g., Power BI, Tableau, QuickSight) and advanced knowledge of data mining, analysis, and dashboard design
• Solid understanding of database structures, machine learning algorithms, and data governance principles

• Proactive, self-motivated, results-oriented, with strong analytical and problem-solving skills.
• Flexible, adaptable to change, and committed to high ethical standards and integrity.
• Strong attention to detail, able to work independently and collaboratively within a team.
• Advanced proficiency in Python, SQL, ACL, SAS, and Excel for data analytics and automation.
• Experience with data visualization and dashboard tools (Power BI, Tableau, QuickSight) and knowledge of database structures, data models, and flows.
• Ability to automate analyses and perform continuous monitoring, delivering actionable insights efficiently.