dnata
Data Analyst, dnata Cargo
Dubai, UAEPosted today
- Salary
- AED 15k–18k a month· est.
- Job type
- Full time
- Level
- Senior
- Field
- Data & Analytics
- Work mode
- On site
About the role
Job Purpose dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering & retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world’s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we’d love to have you onboard. As a Data Analyst, your role is to drive the Business with the use of data and relevant analytical techniques to identify gaps, design solutions & deliver opportunities where Advance Analytics can reduce cost, increase service efficiency or drive revenue. In This Role, You Will • Work closely with different business areas of the business to prioritise business information needs and data analysis requirements to measure and define key performance measures that drive actionable change. • Identify new process improvement opportunities that are in line with business strategy and drive change management. • Drive initiatives within the Business to ensure the quality of data available to aid timely and accurate analysis and interpretation of different strategic priorities for the business, such that the business is constantly on the upward trend. • Work with Group IT, central Business Intelligence teams and relevant key stakeholders to ensure a foundation of insightful data that supports departmental and or internal/external customer requirements. • Research best practices and keep abreast of tools, frameworks and mechanisms for data analytics to ensure the business is on the right path to using data strategically and smartly. • Provide support and guidance to the Data Analysts within the operational teams. Work with them to ensure best approach is adopted, standardised reporting and learning needs are met. • Manage regular reporting to lead department trading updates versus KPI?s and provide updates to key stakeholders on Airline commercial deal performance and optimisation of negotiated fares. • Provide exploratory analysis using different techniques, ranging from simple data aggregation via statistical analysis to complex data mining to discover patterns, meaningful relationships, anomalies and predict future business outcomes and trends to support business improvement and decision. • Assist with the in-depth analysis of historical data through predictive/projection modelling for co-relations during the business planning process to optimise opportunities for cost reduction or increase in revenues. • Responsible to transform data into action-oriented information through predictive or prescriptive analytic capabilities to enable the business understand potentially complex challenges and support senior management to take proactive evidence based business decisions, to achieve required improvements. • Work closely with project management team to execute data analytics related projects within assigned budget and timelines. Qualification To be considered for the role, you must meet the below requirements: • Bachelor's degree in Operational Research, Statistics, Data Science or similar numerical with preferably a post-graduate qualification. • 6-8 years of experience in a data supported organisation including at least 2 years in positions of progressively increasing managerial responsibilities. • Airport Operations, Airline travel agent data analysis and reporting. You Will Have An Edge If You Have/can • Knowledge in using databases such as SQL Server & Oracle, with the ability to create complex SQL and understanding of general database management concepts. • Ability to code in R or Python. • IT and Computer Literacy - Advanced Excel. • Safety Awareness. • Demonstrable logical, creative and analytical thinking skills. At dnata part of Emirates Group were committed to providing our employees with opportunities to grow and develop in their careers So if you're looking for a challenging and rewarding opportunity apply today and join our team. Salary & benefits Join us in Dubai and enjoy an attractive tax-free salary and travel benefits that are exclusive to our industry, including discounts on flights and hotels stays around the world. Find out what it’s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website - www.emirates.com/careers
Requirements
Bachelor's degree in Operational Research, Statistics, Data Science or similar numerical field, preferably with a postgraduate qualification. 6-8 years of experience in a data-supported organisation, including at least 2 years in positions of progressively increasing managerial responsibilities. Experience in Airport Operations, Airline travel agent data analysis and reporting.
Responsibilities
Work with diverse business areas to prioritise information needs and define KPIs; identify process improvement opportunities; ensure data quality for timely analysis; collaborate with IT and BI teams to provide insights; research best practices in data analytics; support and guide other Data Analysts; manage regular reporting on department trading updates and airline commercial deal performance; perform exploratory analysis and predictive modelling to support business improvements; transform data into action-oriented insights for senior management; work with project management to deliver analytics projects within budget and timelines.
Skills
- SQL Server
- Oracle
- Complex SQL
- R or Python
- Advanced Excel
- Data analysis
- Predictive analytics
- Prescriptive analytics
- Data visualization
- Statistical analysis
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