At Apple, we believe that hard work, a fun environment, creativity and innovation fuel the ultimate customer experience. We believe each customer interaction is an opportunity to delight, engage, and inspire.
By focusing on the smallest of details, we can make a big impact with our customers. Building this environment starts with you!The iTunes Store is looking for a creative self-starter with advanced research and pattern recognition skills. In this role, you will query data to identify trends, provide bulk labels, and provide early warning for risk attacks. You will improve the customer experience by identifying and actioning transactions related to trends and providing real-time feedback to multiple business partners.
Highly self-motivatedAbility to work efficiently with little to no guidance
Solid understanding of data visualization and relational database structure
Ability to prioritize tasks and multitask Strong written and verbal communication skills High attention to detail with strong research and analytical skills
Proficient in SQL and Excel Experience using Radar, Python, Tableau
As a Fraud Data Analyst, you are responsible for providing accurate and actionable data and analysis to the organization in its goal to provide Apple customers with an industry-leading, extraordinary purchasing experience. In particular, you will provide highly accurate reporting and analyze large data sets, contributing to Apple's consumer protection efforts.Responsibilities include:- Performing and developing strategic reporting to help support business goals.- Producing data analysis to impact business initiatives and goals.- Engaging in business initiatives to ensure that the impact of changes will be measurable.- Find opportunities for innovation to enhance customer experience and reduction of fraud-dollar lost - Bulk action based upon high level reviews- Identify ways to mitigate chargebacks- Reporting trends to both specialists and business partners- Reporting escalation trends to management- Assisting partner groups with data requests
Bachelor's degree in Computer Science or a similar major