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For Companies At a Glance
- Tasks: Lead E-commerce analytics, automate reports, and deliver insights to drive business decisions.
- Company: Join Ralph Lauren, a global leader in luxury fashion and lifestyle.
- Benefits: Enjoy opportunities for mentorship, collaboration, and innovative analytics tools like Tableau.
- Why this job: Be at the forefront of data-driven decision-making in a dynamic e-commerce environment.
- Qualifications: Expertise in SQL, Python, and data visualization tools required; mentoring experience is a plus.
- Other info: Opportunity to work with diverse teams and tackle complex business challenges.
The predicted salary is between 43200 - 72000 £ per year.
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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, * Drive critical workflows for transforming, visualising, and extracting value from E-commerce
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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
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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.
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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
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Lead on qualitative based analysis: find additional possible explanations for Business challenges within the current set of qualitative feedback from customers and browsers
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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
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You will collaborate with various business teams to drive new data initiatives within the E-commerce analytics team
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Pro-actively contribute to the wider departmental outputs.
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Mentor analysts within the team
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Key KPIs:
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Deliver data analysis and actionable insights through storytelling
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Deliver analytics actions within wider business projects
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Build critical data workflows to combine multiple data sources
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Lead smaller analytical projects from discovery to output delivery
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Power-user of SQL/Python, Dataiku & Tableau
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Tools/Software
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SQL &/Python
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Dataiku
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Tableau
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Adobe
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Microstrategy (nice to have)
Ralph Lauren
Senior Data Analyst employer: Ralph Lauren
Contact Detail:
Ralph Lauren Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarize yourself with SQL and Tableau, as these are crucial tools for the role. Consider taking online courses or working on personal projects to showcase your skills in automating reports and visualizing data.
✨Tip Number 2
Develop a strong understanding of E-commerce metrics and customer behavior analysis. Stay updated on industry trends and best practices to demonstrate your knowledge during discussions with stakeholders.
✨Tip Number 3
Practice your storytelling skills by creating presentations that clearly communicate insights derived from data analysis. Use real-world examples to illustrate how your findings can drive business decisions.
✨Tip Number 4
Network with professionals in the E-commerce analytics field. Attend industry events or join relevant online communities to connect with others and learn about potential opportunities at StudySmarter.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Analyst position. Understand the key responsibilities, required skills, and tools mentioned, such as SQL, Python, and Tableau. Tailor your application to highlight your experience with these technologies.
Showcase Your Analytical Skills: In your CV and cover letter, provide specific examples of how you've used data analysis to solve complex business problems. Mention any relevant projects where you led data initiatives or created automated reports, emphasizing your ability to drive data-driven decision making.
Highlight Collaboration Experience: Since the role involves collaborating with various business teams, include examples in your application that demonstrate your teamwork and communication skills. Describe situations where you worked cross-functionally to achieve common goals.
Prepare a Strong Presentation: Given the emphasis on storytelling and presenting insights, consider preparing a sample presentation that showcases your ability to convey complex data in an understandable way. This could be a great addition to your application to demonstrate your skills.
How to prepare for a job interview at Ralph Lauren
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and Tableau in detail. Highlight specific projects where you used these tools to drive insights or solve complex business problems.
✨Prepare for Storytelling
Since storytelling is a key part of the role, practice how you would present data insights. Use clear examples from your past work to demonstrate how you've effectively communicated findings to stakeholders.
✨Demonstrate Collaboration Experience
Discuss instances where you've collaborated with cross-functional teams. Emphasize your ability to drive new data initiatives and how you’ve mentored others in analytics tools.
✨Understand E-commerce Metrics
Familiarize yourself with key e-commerce metrics and trends. Be ready to discuss how you would analyze customer behavior and product performance to support business strategies.
