Experienced Data Analytics Engineer for Apple Services – Big Data, Cloud, and Artificial Intelligence Expertise Required

Introduction to Apple and the App Store Apple's App Store is the world's largest and most innovative app marketplace, home to over 1.5 million apps and serving more than half a billion customers every week across all Apple devices. Since its launch in 2008, the App Store has revolutionized the way we live, enabling countless new companies, spawning new industries, and creating millions of jobs. As a leader in the tech industry, Apple continues to push the boundaries of innovation, and the App Store team plays a vital role in driving this growth. Job Overview We are seeking an experienced Data Analytics Engineer to join the App Store Data team, where you will play a crucial role in helping the App Store make data-driven decisions and improve the store every day for both users and developers. As a Data Analytics Engineer, you will be responsible for analyzing data, spotting trends and patterns, and providing actionable recommendations to drive business growth. You will work closely with cross-functional teams, including engineering, product, and design, to develop and implement data-driven solutions that enhance the App Store experience. Key Responsibilities • Analyze large datasets to identify trends, patterns, and insights that inform business decisions • Develop and maintain complex data pipelines and architectures to support data analysis and reporting • Design and implement data visualizations and reports to communicate insights to stakeholders • Collaborate with cross-functional teams to develop and implement data-driven solutions that drive business growth • Apply research and analytical skills to monitor and analyze suspicious user/device patterns, anomalies, and consolidate anti-fraud rules to mitigate usage-based billing fraud • Contribute to large-scale quantitative analysis projects through all phases, including data quality, data modeling, algorithm/feature development, statistical analysis, and data visualization Essential Qualifications To be successful in this role, you will need to have: • A Bachelor's degree in a quantitative field, such as Statistics, Economics, Computer Science, Mathematics, or Engineering • At least 5+ years of experience as a Data Analytics Engineer with excellent analytical and problem-solving skills • Advanced programming skills in data manipulation and processing, including SQL, Python, and Scala • Experience working in the big data ecosystem, including Hadoop, Spark, Iceberg, Trino, and Airflow • Proven expertise in data wrangling and developing data visualizations and reporting with tools such as Tableau and Superset • Strong understanding of data analytics, structured and unstructured data analysis, predictive modeling techniques, and emerging methodologies like artificial intelligence • Outstanding verbal and written communication skills, along with strong collaborative abilities Preferred Qualifications In addition to the essential qualifications, we prefer candidates with: • Experience collecting cross-functional requirements and translating them into practical data analysis solutions that drive key product decisions • Experience writing and maintaining high-quality code using standard methodologies such as code reviews, unit testing, and continuous integration • Experience working in Data Privacy, Compliance, and Trust/Safety domains Skills and Competencies To succeed in this role, you will need to possess: • Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify insights • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams • Strong programming skills, with the ability to write efficient and effective code • Experience working with big data ecosystems and tools, including Hadoop, Spark, and Airflow • Knowledge of data visualization tools, including Tableau and Superset • Understanding of data analytics, predictive modeling techniques, and emerging methodologies like artificial intelligence Career Growth Opportunities and Learning Benefits At Apple, we are committed to helping our employees grow and develop in their careers. As a Data Analytics Engineer, you will have the opportunity to work on complex and challenging projects, collaborate with experienced engineers and data scientists, and develop new skills and expertise. You will also have access to a range of training and development programs, including workshops, conferences, and online courses, to help you stay up-to-date with the latest technologies and trends. Work Environment and Company Culture At Apple, we are passionate about creating a work environment that is inclusive, diverse, and supportive. We believe that our employees are our greatest asset, and we are committed to providing a workplace that is collaborative, innovative, and fun. As a Data Analytics Engineer, you will be part of a dynamic and talented team, working on projects that have the potential to impact millions of people around the world. Compensation, Perks, and Benefits At Apple, we offer a competitive salary and benefits package, including: • A base salary range of $143,100 to $264,200, depending on experience and location • Opportunities to participate in Apple's discretionary employee stock programs, including restricted stock unit awards and the Employee Stock Purchase Plan • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services • Reimbursement for certain educational expenses, including tuition, to support ongoing learning and development • Discretionary bonuses or commission payments, as well as relocation assistance, may be available Conclusion If you are a motivated and experienced Data Analytics Engineer, passionate about working with data to drive business decisions and improve the App Store experience, we encourage you to apply for this exciting opportunity. As a member of the App Store Data team, you will have the chance to work on complex and challenging projects, collaborate with talented engineers and data scientists, and develop new skills and expertise. Don't miss out on this opportunity to join a dynamic and innovative team and contribute to the success of the App Store. We Encourage You to Apply! Even if you feel you're not a perfect match, we'd still love to hear from you. We are looking for great people to join our friendly team and contribute to the success of the App Store. Apply now to take the first step towards an exciting and rewarding career as a Data Analytics Engineer at Apple. Apply This Job Apply tot his job