Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Analyze operational data, track Quality of Experience, and identify system problems to ensure an optimal user experience. Collaborate with multiple teams to influence system build and operation. Extract meaningful insights from large, complex datasets to build a complete picture and produce actionable recommendations. Must have a track record of diving deep into data through exploratory data analysis to uncover trends, identify anomalies, and understand potential causes, drawing on a solid foundation in statistics and a working knowledge of machine learning algorithms. Must be a storyteller who excels at pulling multiple threads together into a cohesive and compelling narrative that motivates changes and provides context and insight. Creates beautiful and informative graphics, animations, and other visual media to communicate results. A curious, creative, and analytical mind that can see both the big picture and drill down into the details are critical for this role.

Responsibilities

• Partner with cross-functional teams to understand the system end-to-end, analyze key metrics, and answer questions about performance and user experience.
• Mine and synthesize data from multiple sources, applying statistical methods and machine learning techniques to surface trends, anomalies, and actionable insights.
• Build and maintain data pipelines to support reliable, repeatable analysis.
• Produce clear, captivating visualizations, dashboards, and reports, tailored to both technical and non-technical audiences.
• Translate complex findings into simple, compelling narratives that motivate action and drive improvements.
• Investigate anomalies and performances issues to identify root causes and recommend solutions.

Requirements

• 3+ years experience with data analysis and reporting.
• Experience synthesizing complex data sources into clear and insightful presentations with an emphasis on the story.
• Demonstrated experience building analytic tools and analyzing operational data and distilling results into actionable recommendations.
• Excellent problem-solving skills and independent thinker.
• Creativity and willingness to explore new solutions and ideas.
• Excellent data visualization skills.
• Demonstrated proficiency with scripting languages such as python, R, or MATLAB.
• Experience with databases and query languages such as SQL.
• Comfortable working across multiple languages and tools.
• Excellent written and verbal communication skills.
• Solid teamwork and leadership skills.
• Solid understanding of statistical concepts and machine learning algorithms.
• Familiarity with using AI to improve efficiency.
• Experience with BI/visualization tools.

Skills

• Data analysis
• Reporting
• Data synthesis
• Statistical methods
• Machine learning techniques
• Data pipelines
• Data visualization
• Dashboarding
• Report creation
• Storytelling
• Python
• R
• MATLAB
• SQL
• Databases
• AI

Location

• Onsite

Work Type

• Full-time

Experience Level

• 3+ years experience

Education Level

• BS or MS in quantitative field such as data science, statistics, applied mathematics, operations research, engineering, or related discipline.

About the Company

• At Apple, we strive every single day to craft products that enrich people’s lives.
• Our successes are the result of skilled domain experts working in an environment which encourages creativity, collaboration, and re-thinking of old problems in new ways!