Senior Business Intelligence / Data Visualization Engineer (apple)
apple Cupertino, United States
2024-09-29
Job posting number: #152596 (Ref:apl-200562951)
Job Description
Summary
Are you ready to make a significant impact in Apple Services? At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! If you are passionate about telling compelling data stories with creative and insightful visualizations we would love for you to apply!
The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best way to improve these services for our customers.
Our team’s culture is centered around rapid iteration with open feedback and healthy debate to curate the best outcomes. We encourage independent decision-making and taking calculated risks. Our team collaborates as an analytical advisor with partners across product, design, engineering, marketing, editorial, and business teams.
The Apple Services Data Science & Analytics team drives decisions that improve the customer experience, accelerate growth, and uncover new business opportunities while respecting user privacy. We work on some of the largest e-commerce and media streaming businesses in the world and have an incredible team collaborating on the best way to improve these services for our customers.
Our team’s culture is centered around rapid iteration with open feedback and healthy debate to curate the best outcomes. We encourage independent decision-making and taking calculated risks. Our team collaborates as an analytical advisor with partners across product, design, engineering, marketing, editorial, and business teams.
Description
As a Senior BI Engineer on the Services Data Science & Analytics team, you will work with massive internet-scale data across numerous product and customer touch-points, undertaking in-depth quantitative analysis, and distilling data into actionable and intuitive visualizations to drive informed decision-making. A great fit for this role can communicate and collaborate across many different teams, has an agile approach to solving challenging problems quickly, and stresses the details.
We are looking for you to design and build executive reporting solutions, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with customer experience, product performance, business operations, and strategic decision-making. Often you will closely partner with our Data Science peers to define metrics, design datasets, and develop the automation strategy.
Extensive collaboration with Product, Business, Engineering, and Marketing teams is vital to our success. In this role, you will iterate with these teams on key business outcomes, influence how our services are measured, and craft world-class tools and insights to support them at scale. As your ideas take shape, you will establish and socialize a comprehensive roadmap to communicate and manage stakeholder expectations while enabling org-wide transparency on progress.
This role will require extensive experience taking complex, multifaceted projects from idea to production - preferably in a lead capacity. Ideally, you have a curious business mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We’re looking for someone known for effectively bridging analytics and business teams, with an ability to masterfully speak the language of both.
We are looking for you to design and build executive reporting solutions, highly polished dashboards, and exploratory self-service tools, as well as the datasets that power them to analyze and present insights associated with customer experience, product performance, business operations, and strategic decision-making. Often you will closely partner with our Data Science peers to define metrics, design datasets, and develop the automation strategy.
Extensive collaboration with Product, Business, Engineering, and Marketing teams is vital to our success. In this role, you will iterate with these teams on key business outcomes, influence how our services are measured, and craft world-class tools and insights to support them at scale. As your ideas take shape, you will establish and socialize a comprehensive roadmap to communicate and manage stakeholder expectations while enabling org-wide transparency on progress.
This role will require extensive experience taking complex, multifaceted projects from idea to production - preferably in a lead capacity. Ideally, you have a curious business mindset with the ability to condense complex concepts and analysis into clear and concise takeaways that drive action. We’re looking for someone known for effectively bridging analytics and business teams, with an ability to masterfully speak the language of both.
Minimum Qualifications
- 10+ years of experience in a Data Visualization, Data Scientist, or Data Analyst roleView Orignal JOB on: italents.net
- Strong proficiency with data visualization tools such as Tableau / PowerBI / MicroStrategy / etc. for analysis, insight synthesis, reporting deliverable design & development, and executive presentation.
- Proficiency with SQL, Python, & Spark and experience using those skills with very large datasets.
- Familiarity with data engineering tools and concepts, data pipeline development, data model design, and aggregation strategies, in support of responsive and highly interactive data products.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to balance multiple projects with tight deadlines and executive visibility.
- BS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics, or a related field
Key Qualifications
Preferred Qualifications
- Experience in a digital subscription business or large-scale e-commerce platform
- MS in Computer Science, Statistics, Mathematics, Information Systems, Engineering, Economics or a related field
