Senior Business Intelligence Engineer
Job Summary
Job Description
As a Senior BI Engineer on the Edge Services team, you will work with massive internet-scale data. You will undertake in-depth quantitative analysis and distill 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. The main goal is to create precise data models for our services and present actionable business recommendations based on those models. Effective communication skills are essential.
Must have:
- Experience with data analysis and modeling of large datasets
- Proficiency in Python data science tools
- Ability to communicate findings in a clear and accessible way
7 skills required
Job Details
As a Senior BI Engineer on the Edge Services 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.\n\nWe’re looking for an experienced data wrangler to use data to make global architecture and deployment decisions, improve Apple Services’ performance, and reduce operational costs. The main goal is to create precise data models for our services and present actionable business recommendations based on those models. Working closely with domain experts is crucial to understand our systems’ complexities. Effective communication skills are essential to explain and get support for data-driven business recommendations.\n\nWe’re looking for someone passionate about delivering impactful and results-oriented work by deeply analyzing large and complex datasets. Proficiency in Python data science tools is necessary, along with the ability to communicate findings in a clear and accessible way for cross-functional teams. While prior experience at our scale may not be required, experience with distributed applications or analyzing and modeling large datasets is highly valued.
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