Data analyst customer and commercial insights

Описание

Burberry is a luxury brand that creates sustainable luxury products and aims to drive industry change and support its communities. Its Decision Analytics team provides analytical support across commercial, customer, merchandising, marketing, and platform business areas.

• Analyze customer behavior, journeys, and commercial performance to identify opportunities and explain changes in business performance.
• Extract, manipulate, and interpret information to provide insights beyond BAU reporting and support informed decision-making.
• Analyze online and offline marketing campaigns, customer touchpoints, and behavior, including how channels influence commercial trade.
• Develop expertise in clickstream and behavioral data to help stakeholders understand the digital journey and its business value.
• Apply and further develop analytical methods such as cohort analysis, customer segmentation, and experimentation, with support from the wider team.
• Prioritize work based on value and ensure excellence in day-to-day operational and project delivery.
• Work with stakeholders to understand their challenges, share insights confidently, and progressively take ownership of analytical work.

• Bachelor’s degree or equivalent experience in a quantitative, scientific, engineering, or related discipline.
• Strong SQL or data querying skills, including hands‑on experience querying, manipulating, and validating datasets.
• Strong analytical and problem‑solving foundations, with the ability to investigate questions, identify patterns, and draw evidence‑based conclusions.
• Experience delivering data‑led analysis or deep‑dived investigations on complex topics, independently and collaboratively, and shaping clear recommendations.
• Clear written and verbal communication skills, including the ability to explain analytical findings to non‑technical audiences.
• Able to explore data, ask relevant questions, and break ambiguous problems into clear analytical steps.
• Strong communication and influencing skills, with the ability to tailor recommendations to the audience.
• Collaborative working style, confidence building credibility with stakeholders, and respect for different perspectives.
• Creative and commercial thinking, interest in technology, and focus on meaningful business value.
• Able to manage time effectively, work independently, and communicate delivery timelines clearly.
• Motivated to develop technical, commercial, and business knowledge, including new tools and analytical approaches.
• Nice to have: experience with BI or data visualization tools such as Looker, Tableau, or Power BI.
• Exposure to clickstream data, segmentation, cohort analysis, experimentation, forecasting, statistical analysis, commerce, digital, or marketing technology.

No conditions specified