Data Visualization / BI Engineer

3 Months ago • All levels • $136,300 PA - $248,700 PA
Data Analysis

Job Description

Join Apple Services as a Data Visualization/BI Engineer and make a significant impact. This role is ideal for individuals passionate about crafting compelling data stories through creative and insightful visualizations. The Apple Services Data Science & Analytics team influences decisions that enhance customer experience, drive growth, and identify new business opportunities while prioritizing user privacy. Working with some of the world's largest e-commerce and media streaming businesses, the team collaborates to improve services for customers. The team culture promotes rapid iteration, open feedback, and constructive debate to achieve optimal outcomes, encouraging independent decision-making and calculated risks. This role involves collaborating as an analytical advisor with partners across product, design, engineering, marketing, editorial, and business teams.
Must Have:
  • Data visualization skills
  • Business Intelligence expertise
  • Data storytelling ability
  • Analytical advisory skills

Add these skills to join the top 1% applicants for this job

team-management
data-analytics
data-visualization
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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.

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