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Seasonal Apple Data Analyst Jobs (NOW HIRING)

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 ...

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... Apple equipment 401k plan Location We're headquartered in San Francisco, CA, with a beautiful ...

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 ... and a keen analytical mindset Ability to travel up to 20% in North America and Asia to support ...

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Seasonal Apple Data Analyst information

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$34K

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$136K

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

As of Aug 19, 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 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 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 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:

Senior Data Analyst - Special Projects (Cupertino)

Apple Inc.

Cupertino, CA • On-site

$141K - $258K/yr

Full-time

Medical, Dental, Retirement

Re-posted 16 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

Senior Data Scientist - Special Projects

Cupertino, California, United States Software and Services

Apple’s intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We’re looking for a data scientist who can bring clarity to this complexity — someone who can analyze diverse datasets, surface meaningful insights, and design intuitive tools that help teams understand and improve the intelligence behind Apple products. You’ll work across the full data lifecycle: discovering signals in large-scale distributed logs, building search and retrieval mechanisms to make data accessible, and crafting interactive visualizations and evaluations that guide product direction and system performance.

Description

Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple’s next generation of AI-driven experiences — from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end‑to‑end solutions that are performant, intuitive, and deeply integrated into Apple’s ecosystem. The work is hands‑on, highly cross‑disciplinary, and central to shaping how Apple’s intelligent systems evolve.

Responsibilities
  • Explore, analyze, and model large volumes of multi‑modal data from devices and cloud systems to identify trends, correlations, and anomalies.
  • Design and build interactive dashboards, visualizations, and metrics that help engineering and product teams evaluate system behavior.
  • Develop search, retrieval, and indexing strategies to make data more discoverable, usable, and actionable across teams.
  • Partner with AI and robotics engineers to design evaluation frameworks, KPIs, diagnostics that assess data quality, model behavior, and system performance.
  • Work with cloud engineers to shape how data is organized, stored, and exposed for efficient querying.
  • Investigate data quality issues, define validation strategies, and recommend improvements to data collection and pipeline design.
  • Collaborate with hardware, robotics, AI, and user experience teams to interpret data within the broader system context.
  • Communicate insights clearly through written analyses, visual storytelling, and presentations to stakeholders.
Minimum Qualifications
  • Proven experience in data science, analytics engineering, or applied research roles.
  • Strong proficiency in Python and common data analysis libraries.
  • Expertise with data visualization tools or frameworks for building interactive dashboards.
  • Experience querying and modeling data in SQL and NoSQL environments.
  • Ability to analyze large‑scale, high‑dimensional, and multi‑modal datasets.
  • Familiarity with designing or using search and retrieval systems for large‑scale data.
  • Experience designing KPIs, evaluation metrics, and experiment analyses for complex systems.
  • Strong statistical intuition and experience with exploratory data analysis and hypothesis testing.
  • Ability to translate complex findings into clear, actionable insights for cross‑functional teams.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Applied Mathematics, or related field, and 5+ years of industry experience.
Preferred Qualifications
  • Experience working with data from distributed or real‑time systems, robotics, or multi‑modal AI.
  • Familiarity with information retrieval techniques (ranking, embedding‑based search, relevance modeling)
  • Experience collaborating with ML teams on evaluation methodologies, dataset design, or model diagnostics.
  • Knowledge of metadata management systems, cataloging approaches, or data documentation strategies.
  • Background in statistical modeling, time‑series analysis, or anomaly detection
  • Experience with visualization frameworks used for large datasets.
  • Understanding of cloud‑scale data processing and distributed compute frameworks.

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $141,800 and $258,600, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: comprehensive medical and dental coverage, retirement benefits, a range of discounted products and services and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, will eligible for discretionary bonuses or commission payments and relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple accepts applications to this posting on an ongoing basis.

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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