The Emirates Group Hiring for Data Analyst Job at Dubai Full Time

Job Purpose: We are looking for someone who understand that data can be complex and has the right skills to maximise its effectiveness. This role is about having the patience to understand the business problems we’re trying to solve, and the skills model the answers. Interpreting data and identifying patterns using statistical techniques as well as being able to filter, clean and model data is essential. If statistics, distribution and left joins excite you and you are willing to model data in SQL, utilise standard deviation whilst supporting users from idea to implementation to help drive actions, we’d love to meet you! Our data analysts 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. They act as interpreters for those in charge of making business decisions. They’re storytellers tasked with getting to the bottom of what the company’s data means. They hone in on data patterns indicating changes within the business, often creating graphs and charts to illustrate their findings. Modeling data in SQL, utilising standard deviation and searching for insights in data is what makes them happy. They focus their work on developing answers and solutions to questions and problems and supporting our teams with making decisions. Job Outline Lead – Work closely with different business areas in the department to prioritise business and information needs and define key performance measures that drive actionable change. Identify new process improvement opportunities that are in line with business strategy and drive the 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 and relevant key stakeholders to ensure a foundation of insightful data that supports a specific analysis or application. Act as the link in defining functional requirements between the business and IT. – 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. Execute – 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.

Qualifications & Experience: Experience – Airport Operations Quslifications / Knowledge / Skills – 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 – English Level 6 – IT and Computer Literacy – Advanced Excel – Management Skills – Safety Awareness – Demonstrable logical, creative and analytical thinking skills – 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