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A leading technology company in London is seeking a seasoned analytics professional to join their Wallet, Payments & Commerce Analytics organization. In this role, you will partner with senior leaders to drive high-impact initiatives, translate complex questions into strategic analyses, and offer data-backed insights to influence decisions. The ideal candidate has proven experience in analytics, strong communication skills, and expertise in SQL, R or Python.
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, hands on seasoned senior analytics, high-energy individual who is not afraid of challenges, we're looking for you to join the Wallet, Payments & Commerce Analytics organization to craft the future for the Apple Pay business.
Description In this role, you will serve as a strategic analytics partner to senior business leaders across multiple functions, driving high-impact, cross-functional initiatives from end to end. You'll be responsible for translating complex business questions into structured analytical approaches, applying statistical and advanced analytical techniques to uncover insights, evaluate performance, and identify opportunities for growth and efficiency. Your work will involve delivering clear, data-backed recommendations that influence decision-making at the highest levels. You'll collaborate closely with data engineering to ensure data quality and accessibility. Our culture is about getting things done, iteratively and rapidly, with open feedback and debate along the way. We believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.
Minimum Qualifications