Diagnostic Insights Analyst: Drive Product Impact

Apple; Frankfort (KY); On-site; USD 27,552 - 41,328; Full time

Job summary

Apple is seeking a data analytics professional to derive insights from real-world data, improve customer experiences, and map the research path. You will join the AppleCare Business Insight, Operations and Systems team, a high-impact data science group that informs engineering and project decisions.

This role focuses on turning data into actionable insights and driving product/process improvements. The position emphasizes building dashboards, developing data pipelines, and contributing to

Qualifications

• 2+ years of industry experience in research/data analysis roles.
• Analytical, focused and self-motivated with the ability to turn data into insights.
• Proficiency in Snowflake SQL.
• Experience with Tableau dashboards deployment and maintenance.
• Expertise in Python.
• Experience with big data pipelines (e.g., Spark, Hive).
• Strong cross-functional communication across the organization.

Responsibilities

• Collaborate with project engineers to identify data analysis issues and opportunities.
• Create and develop dashboards using SQL, Tableau and Python.
• Develop data pipelines to support analyses.
• Ensure data consistency and accuracy across assets with attention to detail.
• Discover valuable insights from big data and communicate findings to diverse audiences.
• Develop algorithms to clean and analyze large datasets from diverse sources.
• Contribute to planning and forecasting to address uncertainty in projects.

Skills

Analytical thinking

Communication

Self-motivated

Education

Bachelor's degree

Tools

Snowflake SQL

Tableau

Python

Spark

Hive

Job description

Apple is seeking a data analytics professional to derive insights from real-world data, improve customer experiences, and map the research path. You will join the AppleCare Business Insight, Operations and Systems team, a high-impact data science group that informs engineering and project decisions.

This role focuses on turning data into actionable insights and driving product/process improvements. The position emphasizes building dashboards, developing data pipelines, and contributing to