5 дней назад
Senior Manager, Data Analytics (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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