Senior Data Analytics Professional

3 weeks ago

Johannesburg, Gauteng, South Africa IOCO Full time

Job Summary

We are seeking a highly skilled Senior Data Analytics Professional to join our team at IOCO. As a key member of our Internal Audit department, you will play a critical role in providing data-driven insights and analytics support to our teams.

Responsibilities

  • Support the development of audit/advisory plans and deliver on internal audit strategic objectives.
  • Develop a thorough understanding of the business environment, including risk universe, processes, and associated internal controls.
  • Arrange access to data sources and secure receipt of data files from the business.
  • Build and maintain common data sets and create data dictionaries as needed.
  • Assist with data cleaning and preparation for audit delivery teams.
  • Develop sustainable and re-useable Data Analytics models, programs, and dashboards to improve audit efficiency and coverage.
  • Support audit delivery teams with the development of complex/insightful data analytics tests.
  • Prepare data analytics audit programs aligned to the Risk and Control Matrices of 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.

Requirements

  • 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 such as Power BI, Tableau, or QuickSight.
  • Financial services knowledge and/or experience, with insurance industry experience preferred.
  • Strong proficiency in Python and its libraries, including pandas, NumPy, and scikit-learn.
  • Advanced understanding of database structures and machine learning algorithms.
  • Knowledge of internal audit standards, methodology, and best practice.
  • Basic knowledge of data governance principles and frameworks, such as 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.

Qualifications

  • 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, or R are desirable.

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