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Data and Insights Analyst

Posted 5 days 16 hours ago by Talent Hub Resourcing Solutions Ltd

Permanent
Not Specified
Other
England, United Kingdom
Job Description
Data and Insight Analyst - Customer Data Salary: £50,000 - £55,000 Hybrid: 2 days office based and 3 from home Location: Brighton and Hove, Sussex

Talent Hub are looking for an experienced Customer Data Analyst to join a thriving business based in Central Brighton. You will play a key part of their Customer Data strategy at an exciting time for this successful company.

Key responsibilities for this Data and Insight Analyst job include:

  • Lead the reporting, insight and analytics for the organisation, focusing on customer data and storytelling, providing pro-active reporting and actionable insights with a strong emphasis on customer acquisition and engagement and optimising lifetime member value.

  • Regular monitoring and reporting on key customer data metrics.

  • Support and provide guidance on the development of campaign and overall performance reporting, actionable insight and data-driven models for use across the customer lifecycle (e.g. engagement, attrition, life-time value, segmentation and recommendations/next best action modelling).

  • Produce data visualizations to help support and communicate important learning.

  • Where possible, incorporate qualitative findings into quantitative reporting.

What you will need for this Data and Insight Analyst job:

  • At least 4 years experience in a Data Analytics and Customer Insight position.

  • Membership or Customer Services, B2C, Travel or Leisure sector background.

  • Experience of working with CRMs.

  • Strong oral and written communication skills, with experience presenting data interpretation and insights to non-technical audiences.

  • Experience in using data storytelling techniques.

  • Knowledge of other data platforms such as Microsoft Customer Insights, Microsoft Customer Data, Microsoft Fabric, social marketing insights, and email marketing analytics would be beneficial.

  • Experience in SQL, SAS, Python, or R programming.

  • Knowledge of web analytics tools would be helpful but not essential.

  • Some exposure to AI tools such as CoPilot.

Benefits include:

  • 2 days office based

  • 24 days holiday plus bank holidays

  • Healthcare

  • Hybrid working

  • Plus lots of other perks!

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