Loyalty Data Manager

Full Time @ Qatar Airways Sector: Business Administration
  • Doha, Qatar View on Map
  • Date Posted : July 26, 2022
  • Salary: Negotiable
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About the job

About The Role

As the Loyalty Data Manager, you will be responsible to perform and deliver analytics and insights activities and efforts in support of QR and to achieve the Commercial Vision of Personalization and Customer Analytics. You will lead other analysts and serves stakeholders up and down the organization. Participate in recruiting and training and sets an example for other analysts for high level delivery and adding value.

Key Responsibilities

  • Supports the strategy of the team by performing analysis or customer behaviour and data.
  • Identify drivers of customer experience accurately and measure the impact to the business.
  • Develop reports, visualizations, and presentations to clearly highlight the actionable insights from data to drive QR Teams’ results combined with commercial implications and strategic/tactical recommendations.
  • Potentially work on customer segmentation, micro segmentations, and personalization for the Commercial organization and beyond (Ground Services, Cabin Services, Catering, etc.).
  • Establish Customer Analytics and Insights strategies, objectives, and priorities to align with and support Commercial Vision and objectives.
  • Develop advanced, flexible and customized dashboards in order to share customer insights across teams and departments.
  • Build structure for monthly, quarterly, and annual reporting where needed. Manage reporting and analysis needs for the team and stakeholders.
  • Participate in the development of analytics tools and reporting automation.
  • Participate where needed working with IT to develop customer data warehouse assets in order to derive actionable data for Customer Insights.

About You

We are looking for a passionate and experienced professional to join the Customer Engagement & Loyalty – CIPP Team.

  • Minimum qualification of bachelor’s degree or equivalent is essential.
  • 6+ years of job-related experience
  • Possess analytical skills to identify trends and opportunities within the data.
  • Ability to conduct rigorous A/B tests and comfort with other test and learn scenarios.
  • Expert ability in Excel.
  • Advanced ability in data query and manipulation tools (SQL, SAS).
  • Synthesize business requirements and author clear visualization for senior business users.
  • Command of English language

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