Data Analytics Auditor

About the role

The Data Analytics Auditor works closely with the Internal Audit team to apply advanced analytical models, simulations, and AI in evaluating business actions. By leveraging programming, statistical analysis, and large‑scale data handling, the role helps uncover risks, trends, and improvement opportunities across the organization.

Key responsibilities

• Collect, cleanse, and preprocess large datasets for predictive and prescriptive modeling.
• Develop analytical projects that generate insights, support auditor decision‑making, and suggest actionable conclusions.
• Collaborate with cross‑functional teams to design, implement, and monitor machine‑learning and AI‑driven solutions aligned with business objectives.
• Identify patterns, trends, and anomalies that can enhance profitability and risk management.
• Create intuitive dashboards and reports using Power BI, Tableau, or similar tools.
• Coordinate with functional teams to deploy models, monitor results, and ensure data accuracy.
• Present analysis outcomes to diverse audiences in a clear, compelling manner.
• Provide support for tickets related to data and analytics tools.
• Use predictive models to optimize revenue generation and other business results.
• Develop processes and tools to track model performance and data quality.
• Train team members on current tools, processes, and best practices.

Required profile

• Degree in Computer Science, Mathematics, Applied Statistics, Actuarial Science, Physics, Engineering or related field.
• Relevant certifications (e.g., Power BI, Databricks, Agile/Scrum, Certified Data Scientist) are a plus.
• Advanced English proficiency.
• Minimum 3 years of experience in data analytics, data science, or related roles.
• Willingness to travel up to 50 % of the time.

Required skills

• Python, SQL, PySpark
• Power BI, Tableau, Qlik Sense
• Databricks (Hadoop, Spark, Hive)
• Scikit‑learn, TensorFlow
• Microsoft Azure, Azure DevOps
• Git, CI/CD pipelines
• ETL, data preparation, data engineering
• Big Data technologies, cloud tools
• AI/ML frameworks (GPT, Gemini, Hugging Face, Llama, Claude)
• Microsoft Power Apps, Power Automate