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Seasonal Apple Data Analyst Jobs (NOW HIRING)

Good Apple

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 ...

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 ...

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 ...

Apple

Market Research Data Analyst

Cupertino, CA · On-site

$119K - $225K/yr

Apple's Market Research and Analytics team, part of Worldwide Product Marketing, is looking for a survey data analyst to provide critical customer insights that will shape our product and marketing ...

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Seasonal Apple Data Analyst information

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$34K

$82.6K

$136K

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

As of Aug 4, 2026, the average yearly pay for seasonal 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 is a seasonal apple data analyst?

A Seasonal Apple Data Analyst is a professional hired on a temporary or seasonal basis to analyze data related to apple production, sales, and distribution, often during harvest periods. Their responsibilities include collecting and interpreting data to help farmers, distributors, or retailers make informed decisions about harvest yields, pricing, logistics, and market trends. These analysts may use statistical software, create reports, and present their findings to management or other stakeholders. The role is typically active during times of peak apple activity, such as harvest season, and may require knowledge of agriculture, data analysis, and relevant software tools.

What is the difference between Seasonal Apple Data Analyst vs Seasonal Apple Data Specialist?

AspectSeasonal Apple Data AnalystSeasonal Apple Data Specialist
Required CredentialsBachelor's in Data Science, Analytics, or related fieldSimilar credentials, often with additional certifications in data tools
Work EnvironmentData analysis teams within apple orchards or retail divisionsOperational teams focusing on data collection and reporting
Employer & Industry UsageApple orchards, retail stores, and supply chain divisionsSame as Data Analyst, often overlapping roles in data management
Common Search & ComparisonYesYes

Both roles involve working with data related to apple production and sales. The Data Analyst typically focuses on analyzing data to inform decisions, while the Data Specialist may handle data collection, entry, and reporting tasks. The roles often overlap, but the Analyst emphasizes analysis and insights, whereas the Specialist emphasizes data management.

What are the key skills and qualifications needed to thrive as a seasonal apple data analyst?

To thrive as a Seasonal Apple Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as Excel, SQL, and visualization software like Tableau, as well as experience with Apple’s internal systems, is typically required. Attention to detail, effective communication, and adaptability are important soft skills for collaborating with teams and handling fluctuating workloads. These abilities ensure accurate data-driven insights and support critical business decisions during peak seasonal periods.

What are some common challenges faced by seasonal apple data analysts during peak harvest periods?

Seasonal Apple Data Analysts often encounter challenges such as managing large volumes of rapidly incoming data from multiple orchards and ensuring data accuracy under tight deadlines. During peak harvest, analysts must quickly process, clean, and analyze data to support real-time decision-making for harvesting and distribution. Effective communication and collaboration with field teams and logistics personnel are essential to address discrepancies and provide actionable insights. Flexibility and strong organizational skills are key to thriving in this dynamic, fast-paced environment.
What cities are hiring for Seasonal Apple Data Analyst jobs? Cities with the most Seasonal 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:
What states have the most Seasonal Apple Data Analyst jobs? States with the most job openings for Seasonal Apple Data Analyst jobs include:
Seasonal Apple Data Analyst jobs near you

Site Reliability Engineer, Apple Data Platform / Big Data Platform

Apple

Austin, TX • On-site

$56.50 - $75/hr

Full-time

Posted 5 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 676 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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