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.
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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 required.
- Act as an ambassador for DP World, promoting positive behaviors in harmony with DP World’s values and culture, while ensuring the highest level of safety in all activities.
- Understand and follow 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, or Data Analysis.
- A Bachelor's or Master's degree in IT, Computer Science, or a related field.
- Well-versed and proven experience with programming languages like Python, SQL, and Spark.
- Strong understanding of probability, statistical tests, and hypothesis testing.
- Strong understanding of Delta/Data Lake or SQL Database.
- Experience on Azure Cloud and Databricks is required.
- Experience with web scraping, REST APIs, LLMs, RAG applications, and Agent Framework.
- Experienced with visualization tools like Matplotlib, Seaborn, Tableau, Power BI, or Plotly.
- Proven experience in eliciting requirements and governing the project lifecycle.
- Experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.
- Basic knowledge in generating process documentation.
- Strong written and verbal communication skills.
