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Data Analytics Manager

Boux Avenue
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent, full-time

Job Description

Who are weBorn out of a love for lingerie, nightwear, swimwear and all things romantic, Boux Avenue brings traditional service, superior fit and outstanding quality to a modern and beautiful setting both in-store and online.Customer’s in-store will experience a luxurious shopping haven, where they will find fitting rooms with 3 different light settings and an intercom to communicate with the team. Online, customers can take advantage of free returns, a click and collect in-store service (to collect from one of our 30 Boux Avenue stores, or from over 200 Ryman stores) and beautiful free gift wrapping.No matter what your age, size or style, Boux Avenue is an inclusive brand for everybody. Available in sizes 28-40, A-G cups and sizes 6-18. With an unrivalled eye for detail and passion for customer service, Boux Avenue is your ultimate destination whether you’re looking for everyday essentials or something a little sexier.Boux Avenue are searching for a Data Analytics Manager to join their fast-paced e-commerce team who can help us transform our use of data and analytics to uncover new opportunities and grow our business.What will the role include

  • Provide actionable insight which will help us accelerate our growth plans and optimise our conversion rate
  • Benchmark overall site performance against industry benchmark and identify opportunities to improve performance
  • Review Boux Avenue analytics partners and tools including web analytics, testing, online customer insight such as user recording and customer journeys
  • Provide insights that help define the conversion rate optimisation and testing strategy with the Digital Change Manager and Trading team
  • Working closely with teams across the brand to provide analytics insight to support day to day trading and future strategy
    • What will your responsibilities beData Analytics and Insight
  • Provide day to day analytics insight for the eCommerce, CRM and store teams to improve performance particularly our customer retention and loyalty scheme
    • Business Modelling
  • Support business forecasting/modelling and development of business cases for investment in new Digital initiatives including supporting data and analysis that underpins scenario planning for example
    • Reporting
  • Build out and provide regular business reporting including performance dashboards, weekly KPI reporting and monthly insight reports with concise recommendations
  • Support team with automation of key day to day reports
    • Strategy and innovation
  • Build data analytics strategy and identify opportunities to help the brand leverage data to support decisions
  • Keep up to speed with latest innovations and market trends and propose new initiatives/technologies/platforms to improve our data analytics
    • Managing data quality and hygiene
  • Ensure all marketing and analytics tagging is maintained and up to date
  • Regularly audit data quality and work through issues with relevant partners
    • What are we looking for
  • Strong knowledge and experience working with large data sets and extracting information efficiently using SQL
  • Excellent knowledge of online analytics platforms such as Google Analytics, Content Square
  • Experience using Google Big Query and Google Data Studio would be an advantage
  • Highly numerate and strong commercial acumen
  • Degree educated ideally including statistics, mathematics
  • Knowledge of web analytics tool implementation and testing techniques
  • Excellent Excel knowledge and experience creating reporting and dashboards
  • Excellent analytical skills with the ability to perform both quantitative and qualitative based data analysis
  • Strong drive for results - ability to get things done independently with minimum direction
  • Excellent written and verbal communications skills with the ability to translate complex analysis into well structured and simple to understand presentations and recommendations
  • Strong stakeholder management and influencing skills
  • Experience working in a fast-paced retail business
  • A passion for fashion/retail and drive to grow.
  • Take initiative and be able to cope under pressure.

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