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5 дней назад

Senior Manager, Data Analytics (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Manager, Data Analytics (AI) (Retail/Ecommerce): Transforming reporting and analytics into actionable insights for revenue growth, gross-margin improvement, and customer-experience optimization with an accent on data visualization, predictive modelling, automation, and AI/ML deployment. Focus on building scalable analytics tools, leading AI/ML pilots, improving acquisition and media-spend efficiency, and driving data-centric decision making across a global business.

Location: Greater London, United Kingdom; hybrid working with Tuesday–Thursday in the office and Monday and Friday remotely. Applicants must already have the right to work in the UK.

Company

hirify.global is a global house of fashion brands including Coach and Kate Spade New York.

What you will do

  • Transform routine reporting into actionable insights that support revenue, gross-margin, acquisition, and customer-experience growth.
  • Build interactive visualizations, dynamic dashboards, reusable analytics tools, and standardized reporting.
  • Perform large-scale analyses of acquisition drivers, media-spend efficiency, operational metrics, and conversion.
  • Embed predictive models, automated reporting, and AI-driven recommendations into business processes.
  • Lead AI/ML pilot projects and scale successful automation and modelling solutions.
  • Collaborate with Data Engineering, Data Science, Algorithm, and Global Data Analytics teams on data products, standards, and cross-regional practices.

Requirements

  • Significant hands-on analytics experience in retail, ecommerce, or consulting.
  • Advanced SQL and ETL capabilities, with experience using Google Analytics and BigQuery.
  • Strong data-visualization skills with Tableau or a comparable tool.
  • Proficiency in Python or R for analysis and modelling.
  • Experience driving data adoption, translating metrics into strategic actions, and improving revenue or gross margin.
  • Existing UK right to work required; visa sponsorship is not available.

Nice to have

  • Experience deploying AI/ML solutions at scale, such as recommendation engines or demand forecasting.
  • Familiarity with Airflow, Prefect, MLOps tooling, automated pipelines, and predictive models.
  • Experience leading global data-culture change and promoting data-centric decision making.
  • Bachelor’s degree in a quantitative or technical discipline.

Culture & Benefits

  • Hybrid work schedule with Flex Fridays and an option to finish early on Fridays.
  • Learning and development opportunities, internal mobility, and career progression.
  • 25 days of holiday in addition to bank holidays, plus one paid volunteering day annually.
  • Annual performance bonus, private healthcare, dental cover, pension contribution, and employee assistance support.
  • Employee discounts across Coach and Kate Spade, gym discount, season ticket loan, and cycle-to-work scheme.
  • Employee resource groups, regional inclusion initiatives, and regular social events.

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