Data Analyst

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Austin, TX
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $144k
$90k most similar roles pay here $185k

This listing doesn't post a salary. Most similar roles pay $126,750–$162,000.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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View all roles at Apple Inc

At a glance

TL;DR · Data Analyst

As a Data Analyst within the Satellite Connectivity Group, you will support the satellite network that enables emergency services and messaging for mobile devices when cellular or Wi-Fi coverage is unavailable. You will analyze operational data to track Quality of Experience and identify system problems to ensure an optimal user experience. Your daily responsibilities include pulling and joining data from multiple sources, building and maintaining data pipelines, and performing exploratory data analysis to uncover trends and anomalies. To succeed, you must translate complex findings into compelling narratives through high-quality visualizations and reports for diverse audiences. The role requires proficiency in SQL and scripting languages like Python, R, or MATLAB, along with a solid foundation in statistics and machine learning algorithms. You will use these tools to provide actionable recommendations for critical satellite communication services.

What does a Data Analyst earn?

Median $127950 from 39 postings across 21 companies.

See salary data

What you'll do

  • Analyze operational data and key metrics to track Quality of Experience and identify system problems.
  • Mine and synthesize complex datasets from multiple sources using statistical methods and machine learning techniques.
  • Build and maintain data pipelines to support reliable and repeatable analysis.
  • Create high-quality visualizations, dashboards, and graphics to communicate findings to diverse audiences.
  • Translate complex technical findings into compelling narratives that motivate stakeholders to take action.
  • Investigate performance issues and anomalies to identify root causes and recommend system improvements.

What we're looking for

  • 3+ years of experience with data analysis and reporting.
  • Experience synthesizing complex data sources into clear, insightful presentations with a focus on storytelling.
  • Demonstrated experience building analytic tools and distilling operational data into actionable recommendations.
  • Proficiency with scripting languages such as Python, R, or MATLAB.
  • Experience with databases and query languages such as SQL.
  • Excellent data visualization skills and ability to create compelling graphics and reports.
  • Solid understanding of statistical concepts and machine learning algorithms (preferred).
  • BS or MS in a quantitative field such as data science, statistics, engineering, or related discipline (preferred).

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