Intern - Data Analytics (Audit)

Job Description

Location: DP World Head Office, Jafza 17

Start Date:May/June

About the Role:

It's a practical, execution-focused role - ideal for someone who wants real exposure to how data analytics is applied in an enterprise audit environment.

Job Responsibilities:

• Support the development and maintenance of reusable audit analytics scripts, data tests, and visualizations used across assurance engagements
• Assist in building and refining Continuous Controls Assurance (CCA) dashboards in PowerBI, including data preparation, transformation logic, and visual design
• Write and optimize SQL queries and Python scripts to extract, clean, and analyze data from enterprise systems
• Help validate data quality across key dimensions (accuracy, completeness, consistency, timeliness) as part of data audit fieldwork
• Contribute to documenting data lineage, transformation logic, and analytic workpapers to ensure repeatability and auditability
• Support data pipeline tasks including source identification, ingestion, and ETL/ELT validation under supervision
• Assist in identifying opportunities to automate manual audit processes and streamline reporting workflows
• Prepare clear, well-structured data visualizations and summaries that translate technical findings into actionable insights for non-technical stakeholders

Preferred Education & Experience:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Data Analytics, Statistics, or a related field
• Solid working knowledge of SQL (required) and Python or R (strongly preferred)
• Familiarity with data visualization tools, particularly PowerBI or similar (Tableau, Looker)
• Exposure to cloud data platforms such as Databricks, Snowflake, or Azure Synapse is a plus
• Basic understanding of data governance concepts, data quality principles, or audit fundamentals is an advantage
• Experience with ETL/ELT concepts or data pipeline tools is desirable
• Strong attention to detail, analytical thinking, and the ability to work with large datasets
• Good communication skills - able to explain technical work clearly to a non-technical audience
• Self-motivated, organized, and eager to learn in a fast-paced environment