Apple Diagnostic Insights Analyst ( Virtual Assistant Jobs ) @ Get Dream Job

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

Job Details

• Job Responsibilities: Analyst
• Salary: $20-30/Hour
• Company: Apple
• Location: USA
• Educational Requirements: Bachelor’s Degree

Full Job Description

At Apple, new ideas have the potential to quickly become unique products, services and customer experiences. Bring passion and dedication to your work, and there is nothing you can do. Apple products are known for their ease of use and world-class quality. Shipping products that meet this high standard require continuous learning from our customer relationships. If you're interested in developing insights from real-world data, improving the customer experience, and mapping the research path, this job is for you! The AppleCare Business Insight, Operations and Systems team is a powerful data science organization that provides insights to improve the business owner experience and to drive continuous product and process improvement. This is an opportunity to be part of a team of researchers dedicated to providing insight to our engineering and project teams to help drive production and design decisions. The service offers the opportunity to make real changes to Apple’s customer experience.

Qualifications

• 2+ years of industry experience in research/data analysis roles
• Highly analytical, focused and self‑motivated individual with a passion for turning data sources into actionable insights
• Advanced proficiency in Snowflake SQL
• Strong experience with Tableau, including deploying and maintaining large dashboards
• Expertise in Python
• Experience working with big data pipelines (e.g., Spark, Hive, etc.)
• Ability to communicate broadly across the organization and cross‑functional teams, promote collaboration and exchange of ideas

Role Purpose

• Using service analysis data for Mac and audio products
• Analyze production data as it relates to field quality
• Development of machine learning models for use in hardware analysis

Responsibilities

• Collaborate with project engineers and project teams to identify data analysis issues and opportunities
• Creation and development of dashboards using SQL, Tableau and Python
• Development of data pipelines
• Ensure data consistency and accuracy across assets with careful attention to detail
• Discover valuable and actionable insights from big data, interpret it and communicate it to different audiences on a regular basis
• Develop algorithms for automated processes to clean, analyze and derive models from large datasets spanning diverse sources
• Bring planning and forecasting to issues of uncertainty through project scoping and planning