Descrição

Title: Marketing Data Analyst – Consumer Engagement Solutions

Business Unit/Function: Consumer Engagement Solutions

Reports to: Product Data and Analytics Manager CES

Location: Portugal/ London/ Vienna/ Italy

Job type: Permanent

Workload: Full Time

About us

Global Blue pioneered the concept of Tax Free Shopping (TFS) 40 years ago, and has, since then, become the worldwide industry leader through continuous innovation. Global Blue enables international shoppers to claim up to 20% off their Tax Free Shopping eligible purchases.

Nature and aim of the position

Global Blue has an ambition to build traveller-facing products that hyper-personalise the TFS experience. As a Consumer Engagement Analyst, you will support the Product Managers (CES) to achieve this ambition through building a better understanding of traveller needs and behaviours. This will involve the gathering and analysis of a wide range of data and, as such, you need to be comfortable working with complex data sets and able to translate data into meaningful insights and stories that can be shared with the business. The role will have responsibility for the development and productionisation of regular Traveller Engagement dashboards/reports, providing an improved view of how travellers are engaging with Global Blue across our transactional and marketing products. You will also be expected to advise on and conduct relevant ad hoc analysis to help inform the optimistisation of existing touchpoints/features and the identification and establishment of new touchpoints/features.

  • Main duties and responsibilities
  • Deliver key analysis for Marketing products in agile manner in fast paced environment
  • Identify business impact of marketing approaches and audience segments
  • Use a data driven approach to assess campaign success, develop track KPI metrics, and optimize future campaign tactics
  • Monitor and report on marketing campaign performance
  • Assist in the development and execution of marketing strategies
  • Stay up to date on industry trends and best practices in marketing analytics
  • Take an active lead in identifying ways we can use data to deliver new opportunities to engage with travellers, optimise channels and deliver cost efficiencies
  • Deliver enhanced profiling and segmentation of Travellers and Members
  • Measure the effectiveness of traveller products/features/campaigns and build compelling visualisations and case studies that can be shared with the business
  • Advise on how advanced statistical and analytical techniques can further improve our understanding of Travellers
  • Additional: Division of work in percentage example:
  • Analysis and Insights - 50%
  • Report Development - 25%
  • Report Management - 25%
  • Reporting and collaboration
  • The holder of the position reports solid-line to Product Manager (Data & Insights)
  • The holder of the position reports dotted-line to Product Manager CES
  • The holder of the position works with/supports Product Managers within the CES team
  • Key competencies
  • Can work in a highly agile manner responding to fast paced environment
  • Minimum 2-3 years in an analytical role
  • Analytical mindset with experience of statistical methodologies in and Marketing data analysis techniques
  • Proven ability to convert big data into actionable insights
  • Advanced Microsoft Excel skills
  • Intermediate to Advanced SQL skills
  • Intermediate to Advanced Working experience with Tableau
  • Can showcase ability to deliver impactful and actionable insights
  • Preferable skills and competencies
  • Experience with SAS Enterprise Guide advantageous but not essential
  • Experience with a “Power of 2” way of working with stakeholder in an agile way
  • Business Knowledge/Educational Background
  • Strong mathematical background and degree qualified in a relevant discipline (e.g. Maths, Accounting, Finance, Computing, Statistics etc)
  • Proven track record working in analytics team within a fast-paced environment
  • Demonstrable experience in working with consumer data, segmentation/targeting and behavioural analysis

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