Data Analyst, dnata Cargo

Job purpose

Responsibilities

• Prioritize business information and analysis needs and define performance measures that drive action.
• Identify strategic process improvements and drive change management and data-quality initiatives.
• Work with Group IT, Business Intelligence teams, and stakeholders to build useful data foundations.
• Research analytics practices and support operational Data Analysts with guidance, standardized reporting, and learning.
• Manage KPI and trading updates and analyze airline commercial deal performance and negotiated-fare optimization.
• Perform exploratory, statistical, and data-mining analysis to identify patterns, anomalies, and trends.
• Develop predictive or projection models from historical data for business planning and cost or revenue opportunities.
• Turn data into predictive or prescriptive insights for proactive, evidence-based decisions.
• Deliver analytics projects with the project management team within budget and schedule.

Required qualifications

• Bachelor's degree in Operational Research, Statistics, Data Science, or a similar numerical field; postgraduate qualification preferred.
• 6–8 years of experience in a data-supported organization, including 2+ years with progressively increasing managerial responsibilities.
• Airport operations and airline travel-agent data analysis and reporting experience.

Preferred skills

• Knowledge of SQL Server and Oracle, complex SQL, and database management concepts.
• Ability to code in R or Python; advanced Excel and IT/computer literacy.
• Safety awareness and logical, creative, and analytical thinking skills.

About dnata

Salary and benefits

• The posting describes an attractive tax-free salary and travel benefits, including flight and hotel discounts; no salary amount or pay cadence is stated.