Group Data & Research Analyst  Full Time

The Data & Research Analyst is expected to develop and maintain data models that support informed, strategic decision-making. The ideal candidate will proactively identify opportunities to streamline and enhance both internal and external reporting processes. A solid grasp of regulatory and reporting requirements is essential, along with proven experience in forecasting, budgeting, and financial analysis. An in-depth understanding of key performance indicators and their impact on event and business performance is critical to success in this role. The role requires a strong understanding of, and the ability to effectively coordinate across, all DP World Group divisions—including Ports and Terminals, Maritime Services, Logistics, and Digital Technology—to support event logistics initiatives

KEY ACCOUNTABILITIES:

• Provide analytical support and insights across Event Logistics operations, sales and marketing functions 
• Monitor and communicate KPIs, collaborating with relevant teams to drive continuous improvement 
• Generate daily and monthly reports, including operational summaries, sales dashboards, yield performance, and event-specific logistics reports
• Develop and maintain efficient reporting systems to deliver timely, actionable insights that support strategic decision-making in event planning and execution
• Apply project management principles to support operational improvements, enhance logistical efficiency, and identify opportunities for cost savings within event delivery
• Actively contribute to business and logistics meetings, offering insights and data-driven recommendations to enhance event performance 
• Present ad hoc reports as and when required
• Act as an ambassador for DP World at all times when working; promoting and demonstrating positive behaviours in harmony with DP World’s Founder’s Principles, values and culture; ensuring the highest level of safety is applied in all activities; understanding and following DP World’s Code of Conduct and Ethics policies
• Perform other related duties as assigned

QUALIFICATIONS, EXPERIENCE AND SKILLS:

• 7 to 8 years of experience in Data Engineering / Data Science / Data Analysis
• A Bachelors’ or Masters’ degree in IT / Computer Science or related field
• Programming languages: Well-versed and proven experience with programming languages like Python, SQL, Spark.
• Statistics & Mathematics: Strong understanding of probability, statistical tests, and hypothesis testing.
• Databases: Strong understanding of Delta/Data Lake or SQL Database
• Cloud / Platform – Experience on Azure Cloud and Databricks is must.
• Required Skills – Experience on Web Scraping, Rest APIs, LLMs, RAG applications and Agent Framework
• Data visualization: Experienced with visualization tools like Matplotlib, Seaborn, Tableau, Power BI, or Plotly.
• Proven experience in eliciting requirements and governing the project lifecycle
• Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools
• Basic knowledge in generating process documentation
• Strong written and verbal communication