Skywards Data Analyst
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Key skills for this role
About the Role
Emirates Skywards in UAE seeks a Data Analyst to drive a data-first approach within the loyalty programme. Responsibilities include reporting, analysis, building dashboards, developing data products, and supporting data-driven decision making across the department.
Key Skills for This Role
Responsibilities
- Work with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement
- Document measurement frameworks, KPI development and reporting inputs
- Build automated dashboards, reports and scorecards for self service use
- Train and support teams in understanding and utilizing reports
- Develop and apply analytical algorithms and methods to drive and enhance data systems
- Continuously improve business data science models
- Analyze overall performance of data driven initiatives and develop visual insight dashboards
- Engage with Enterprise Analytics and Warehousing departments to create high quality analyses
- Drive a 'Customer first, data centric' decision making culture
- Validate, interpret, and create reports, dashboards & presentations for management
- Champion the use of Test and learn methodologies
- Collaborate with departments to ensure proper use of Skywards data
Requirements
- Experience in data analysis and reporting
- Ability to build automated dashboards and reports
- Experience with data lifecycle management
- Knowledge of machine learning and data science models
Full Job Posting
Role Overview
- Emirates Skywards seeks to be an inspiring and engaging global loyalty programme for Emirates and FlyDubai.
- The Skywards Data Analyst will be responsible for reporting analysis and distribution of data to Emirates Loyalty to drive a data first approach.
- Make improvements to the data lifecycle, from the way data is extracted and prepared to the way analysis and segmentation is performed and presented through to data distribution and utilizated within the department.
- They will engage with relevant enterprise analytics, marketing & internal teams to develop data products.
Key Responsibilities
- Work with teams across Loyalty to understand and develop measurement KPIs and set up tracking and measurement.
- Document measurement frameworks, KPI development and reporting inputs for reference by all teams within Loyalty as needed.
- Build automated dashboards, reports and scorecards for self service use across the department.
- Train and support teams in understanding and utilizing the reports to make data backed decisions.
- Develops and applies analytical algorithms and methods where possible with a view of driving and enhancing data systems and streamlining business processes.
- Continuously improve the business data science models, creating industry leading performance through the leveraging of new and creative data sources, and employing the latest in machine learning within the department.
- Responsible for analysing overall performance of data driven initiatives across the department, service ad hoc insight requests, and develop visual insight dashboards and reports for consumption by the rest of the department.
- Engage with the Enterprise Analytics and Warehousing departments in the creation of high quality analyses for all functions of the business and in the definition of metrics that track the business performance at different fronts including Enterprise Data Warehouse, Enterprise Data Hub & CRIS Warehou
- Drive a 'Customer first, data centric' decision making culture within Skywards by helping the business quantify and measure the costs.
- Validate, interpret, and create reports, dashboard & presentations for departmental heads/management, and relevant stakeholders.
- Champion the use of Test and learn methodologies to allows a business to try out new ideas and concepts in order to understand the impact it has on factors such as customer experience, employee productivity and revenue.
- Collaborate with numerous departments across Emirates, aiding them in the proper use of Skywards data, hence, ensuring the delivery of desired operational results.
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