Group Data & Research Analyst

DP World Australia; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

An international logistics company seeks a Data & Research Analyst to enhance data-driven decision-making processes. The role demands strong analytical skills, experience in data visualization tools, and programming knowledge in Python and SQL. With responsibilities spanning from generating operational reports to improving reporting systems, the ideal candidate will possess a Bachelor’s or Master’s degree and 7-8 years of relevant experience.

Qualifications

• 7 to 8 years of experience in Data Engineering / Data Science / Data Analysis.
• Strong understanding of statistical tests and hypothesis testing.
• Proven experience in programming with Python, SQL, and experience on Databricks or Azure.

Responsibilities

• Develop and maintain data models for strategic decision-making.
• Monitor KPIs and provide analytical insights across Event Logistics operations.
• Generate operational summaries and improve reporting systems.

Skills

Data Analysis

Programming in Python

SQL

Data Visualization

Problem-Solving

Project Management

Education

Bachelor's or Master's degree in IT / Computer Science

Tools

Python

SQL Database

Azure Cloud

Tableau

Job description

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 behavioursin harmony withDP World’s Founder’s Principles, valuesand 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