Data Analyst

Apple Inc

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

Similar $141k
$87k $186k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $120,000–$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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Data Analyst

As a Data Analyst within the Satellite Connectivity Group, you will analyze operational data to track Quality of Experience and identify system problems for satellite networks enabling iPhone and Watch Ultra connectivity. You will collaborate with cross-functional teams to pull and join data from multiple sources, extracting insights from large, complex datasets to produce actionable recommendations. Your daily work involves performing exploratory data analysis to uncover trends and anomalies, building and maintaining data pipelines, and creating informative graphics, animations, and dashboards. You must utilize scripting languages like Python, R, or MATLAB, along with SQL for database queries. The role requires applying statistical methods and machine learning algorithms to solve technical problems regarding satellite communication services, translating complex findings into compelling narratives that motivate system improvements and ensure optimal user experience.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Analyze operational data to track Quality of Experience and identify system problems.
  • Mine and synthesize data from multiple sources using statistical methods and machine learning.
  • Build and maintain data pipelines to support reliable and repeatable analysis.
  • Create captivating visualizations, dashboards, and reports for technical and non-technical audiences.
  • Translate complex findings into compelling narratives that motivate action and drive improvements.
  • Investigate performance issues to identify root causes and recommend specific solutions.

What we're looking for

  • 3+ years of experience with data analysis and reporting.
  • Experience synthesizing complex data sources into clear, insightful presentations with an emphasis on storytelling.
  • Demonstrated experience building analytic tools and analyzing operational data to provide actionable recommendations.
  • Demonstrated proficiency with scripting languages such as Python, R, or MATLAB.
  • Experience with databases and query languages such as SQL.
  • Excellent data visualization skills.
  • Solid understanding of statistical concepts and machine learning algorithms (preferred).
  • BS or MS in a quantitative field such as data science, statistics, applied mathematics, operations research, engineering, or a related discipline (preferred).

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