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Entry Level Apple Data Analyst Jobs (NOW HIRING)

Good Apple

Data Analyst

New York, NY · On-site

Good Apple is an independent agency driving an average +30% efficiency while making lives 100 ... As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ...

GoodApple

Data Analyst

New York, NY · On-site

$69K - $85K/yr

Good Apple is an independent agency driving an average +30% efficiency while making lives 100 ... As a Data Analyst, you will act as a strategic partner to your clients and media team, solving ...

SynergisticIT

Junior Data Analyst

Washington, DC · On-site

... Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client ... Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ...

SynergisticIT

Junior Data/BI Analyst

Carson City, NV · On-site

Entry-Level Data Analyst -- Start Your Career in Data With Practical Skills Data analyst roles are ... Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client ...

InstantServe LLC

Data Analyst

Tallahassee, FL · On-site

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

Apple

Data Center, Product Design Engineer

Austin, TX · On-site

$127K - $153K/yr

The Apple Data Center Product Design Engineering team works with other engineering groups to ... tolerance analysis, metrology and simple fixture design, fit and function validation, and ...

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Entry Level Apple Data Analyst information

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How much do entry level apple data analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for entry level apple data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Apple Data Analyst vs Entry Level Data Analyst?

AspectEntry Level Apple Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; familiarity with Apple products and ecosystemsBachelor's in Data Science, Statistics, or related field; general data analysis skills
Work EnvironmentApple offices, retail stores, or remote roles within AppleVarious industries including finance, healthcare, tech; office or remote settings
Employer & Industry UsagePrimarily within Apple Inc., focusing on product data, user analytics, and ecosystem insightsAcross multiple industries, analyzing business data, customer behavior, and operational metrics

While both roles involve data analysis skills, the Entry Level Apple Data Analyst specializes in Apple's ecosystem and products, often requiring familiarity with Apple-specific tools and data sources. The general Entry Level Data Analyst has broader industry applications without the specific focus on Apple technologies.

What types of projects and data sets might an entry level Apple data analyst typically work with in their first year?

As an Entry Level Apple Data Analyst, you can expect to work on a variety of projects involving customer behavior analysis, operational efficiency, and product performance metrics. You'll likely handle large data sets related to sales trends, user engagement, or supply chain processes, using tools like SQL, Excel, and Apple's internal analytics platforms. Collaboration with product managers, engineers, and marketing teams is common, and you'll be tasked with preparing data reports, identifying patterns, and providing actionable insights. This role offers a supportive environment for learning and mentorship, making it a great opportunity to build foundational skills and contribute to impactful projects early in your career.

What are the key skills and qualifications needed to thrive as an entry level Apple data analyst, and why are they important?

To thrive as an Entry Level Apple Data Analyst, you need a solid understanding of data analysis, statistical methods, and a bachelor's degree in a related field such as computer science, mathematics, or statistics. Familiarity with data visualization tools (like Tableau), programming languages (such as Python or SQL), and Apple's internal data systems is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data and collaborate with cross-functional teams. These skills are crucial for transforming raw data into actionable insights that support business decisions and drive innovation at Apple.

What does an entry level Apple data analyst do?

An Entry Level Apple Data Analyst is responsible for collecting, organizing, and analyzing data to help Apple make informed decisions. They work with large datasets, use statistical tools, and generate reports that highlight trends, patterns, and insights. These analysts collaborate with various teams, such as product development and marketing, to support business strategies. Entry-level positions typically involve learning Apple's data systems and tools while contributing to real-world projects under the guidance of more experienced analysts.
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Entry Level Apple Data Analyst jobs near you
Infographic showing various Entry Level Apple Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Site Reliability Engineer, Apple Data Platform / Big Data Platform

Apple

Austin, TX • On-site

$56.50 - $75/hr

Full-time

Posted 13 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

The Apple Services Engineering team (ASE) is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books - at extensive scale, meeting high expectations to deliver a huge variety of entertainment in over 35 languages to more than 150 countries.
Within ASE, the Apple Data Platform SRE team keeps a massive, multi-cloud platform running for thousands of internal engineers building the next generation of data and AI products at Apple. We sit at the intersection of infrastructure, automation, and customer success - running incident response, providing hands-on support to internal teams, and partnering with developers to make cutting-edge services like Spark, Flink, Airflow, Trino, Notebooks, and LLM-based agent platforms reliable at scale.
Description
This is a rare opportunity to build deep expertise across one of the most technically diverse platforms at Apple - while specialising in the big data engines and catalog/governance layers that power analytics and data engineering across the company. As an SRE on Apple Data Platform, you'll operate and support the team's full portfolio, from ML/AI platform services to multi-cloud infrastructure, and grow into the team's go-to expert for big data platform services - including Spark, Flink, Airflow, Trino, Notebooks, REST Catalog services (such as Glue Catalog), and data governance. Just as importantly, you'll be a first point of contact for the internal customers who rely on these services daily - someone who can translate a confusing error or a vague support request into a clear diagnosis and a fast resolution.
We're looking for a self-motivated engineer who thrives on ownership - someone who wants a set of services to call their own, the autonomy to drive their reliability roadmap, and the collaborative instinct to keep that work aligned with the team's broader direction. If you love solving hard operational problems, take genuine satisfaction in helping frustrated customers get unblocked, and want a front-row seat to how Apple's data engineering platform scales, this role offers real room to grow your scope and impact over time.
Minimum Qualifications
Bachelor's Degree in Computer Science, an engineering-related field, or equivalent related experience.
1-4 years in a Site Reliability Engineering, DevOps, or Infrastructure-focused role.
Proficient in Python; working knowledge of Golang a plus.
Deep understanding of one or more Big Data technologies (Spark, Flink, Airflow, Trino, Notebooks).
Experience with Kubernetes and at least one major cloud provider (AWS or GCP).
Excellent written and verbal communication skills, with the ability to explain technical issues clearly to non-expert customers.
Solid grounding in SRE principles, with prior on-call, production-support, or customer-facing support role experience.
Preferred Qualifications
Experience with REST Catalog services (e.g., Glue Catalog) and data governance frameworks.
Prior experience in a customer-facing or technical support role, with a demonstrated passion for customer success.
Familiarity with observability tooling: Prometheus, Grafana, Splunk, PagerDuty.
Working knowledge of CI/CD pipelines and deployment workflows.
Experience with S3 and cloud storage/networking fundamentals.
Familiarity with data pipeline orchestration and workflow scheduling patterns.
A track record of automating manual operations through scripting or tooling.
Intellectual curiosity and a drive to keep learning - for yourself, your team, and the org.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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