Kariyer Fırsatı
Senior Data Analyst
Ref #:
W156062
Department:
Data Analytics
City:
London
State/Province:
London
Location:
United Kingdom
Pay Range Max
Pay Range Min
Company Description
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands.
At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration.
Position Overview
- Key role in the EMEA E-commerce analytics team ensuring they will drive automating and creating the digital customer reports on a recurring basis for E-commerce to support Business Strategy. They will lead on enhancing the E-commerce DataMart encompassing data from various data sources to unlock, drive and deliver new insights, reporting, and advanced analytics to drive data driven business decisions. They will lead on solving complex business problems / challenges through data & web analytics and will story-tell the actionable insights to the key stakeholders to drive and encourage data-driven decision making. They will become an SME for two areas in E-commerce and will own and maintain that dialogue whilst also pro-actively delivering innovative and creative analytics in that space. They will build and collaborate with various business teams outside of E-commerce to drive new data initiatives. They will upskill /mentor the team in the new tools (i.e. Tableau) to expand the knowledge of the whole team.
Essential Duties & Responsibilities
- Drive critical workflows for transforming, visualising, and extracting value from E-commerce
- Lead on designing and developing automated reports using SQL and Tableau to surface insights to the entire business and also drive self-serve analytics within E-commerce
- Collect and analyse data from various data sources, including website data, sales data, customer data and feedback, to identify trends and insights related to customer behaviour, product performance and market dynamics.
- Lead on quantitative, transactional based analysis: specific profile, segment, channel or store performance analysis from a customer standpoint to support the understanding of new Business challenges
- Lead on qualitative based analysis: find additional possible explanations for Business challenges within the current set of qualitative feedback from customers and browsers
- Insights and Analysis presentations: develop and deliver clear, insightful, and high-quality story-telling power point presentations to be shared with wider teams and key stakeholders
- You will collaborate with various business teams to drive new data initiatives within the E-commerce analytics team
- Pro-actively contribute to the wider departmental outputs.
- Mentor analysts within the team
- Key KPIs:
- Deliver data analysis and actionable insights through storytelling
- Deliver analytics actions within wider business projects
- Build critical data workflows to combine multiple data sources
- Lead smaller analytical projects from discovery to output delivery
- Power-user of SQL/Python, Dataiku & Tableau
Experience, Skills & Knowledge
- Tools/Software
- SQL &/Python
- Dataiku
- Tableau
- Adobe
- Microstrategy (nice to have)
