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Weekend 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 ...

Apple

Site Reliability Engineer, Apple Data Platform

Austin, TX · On-site

$56.50 - $75/hr

... data analytics. Our platform enables key features in Apple Music, TV, Maps, News, and other world ... class products. Ensuring all of these technologies in geographically distributed data centers work ...

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Weekend Apple Data Analyst information

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How much do weekend apple data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for weekend apple data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Apple Data Analysts, and how can they be addressed?

Weekend Apple Data Analysts often encounter challenges related to accessing real-time data and collaborating with team members who primarily work during weekdays. To address these issues, it's important to establish clear communication channels and handover protocols with weekday analysts to ensure continuity. Additionally, being proactive in documenting findings and maintaining detailed analysis logs can help bridge any information gaps. Staying organized and leveraging Apple’s collaborative tools will also support efficient remote teamwork and data sharing.

What does a Weekend Apple Data Analyst do?

A Weekend Apple Data Analyst is responsible for analyzing data related to Apple’s products, customers, or business operations, specifically during weekend shifts. Their tasks may include collecting data, creating reports, identifying trends, and providing actionable insights to help drive decision-making at Apple. They often work with large datasets, use data visualization tools, and collaborate with other teams to ensure data accuracy and relevance. This role is ideal for those who prefer or require weekend work schedules while contributing to Apple’s data-driven initiatives.

What are the key skills and qualifications needed to thrive as a Weekend Apple Data Analyst?

To thrive as a Weekend Apple Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as SQL, Python, Excel, and Apple-specific analytics platforms is typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you interpret and present complex data findings to stakeholders. These skills ensure accurate data-driven insights, support business decisions, and enable timely analysis during critical weekend operations.
What cities are hiring for Weekend Apple Data Analyst jobs? Cities with the most Weekend Apple Data Analyst job openings:
What are the most commonly searched types of Apple Data Analyst jobs? The most popular types of Apple Data Analyst jobs are:
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Weekend Apple Data Analyst jobs near you
Infographic showing various Weekend Apple Data Analyst job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $82,640 per year, or $39.7 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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