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Seasonal 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 ...

Apple

Senior Data Analyst - OS Stability

San Diego, CA

$142K - $263K/yr

This role combines advanced data analysis with predictive insights and intelligent automation while ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

Socket.dev

Data Analyst

Austin, TX · On-site

$90 - $130/hr

At Apple, we strive every single day to craft products that enrich people's lives. Our successes ... The team is seeking a data analyst who will analyze operational data, track the Quality of ...

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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 Sep 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 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:

Seasonal Apple Data Analyst jobs near you

Data Analyst

Good Apple

New York, NY • On-site

Full-time

Re-posted 18 days ago

Job description

Good Apple is an independent agency driving an average +30% efficiency while making lives 100% easier. Built on the belief that big agency bureaucracy isn't necessary to drive scalable results, Good Apple operates as that group of friends you love to collaborate with whether you are an employee, agency, publisher, or client partner.
As an Apple, you have a unique opportunity to truly create the destiny and pathway that fuels you each day and drives you to deliver the best results for yourself as well as your clients. As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an interest in advertising and digital marketing analytics, working internally across disciplines to deliver the most impactful integrated media solution for our clients.
Key Responsibilities:
  • Collaborate with internal teams to translate business needs into measurement plans and their implementations via website/ad-server tracking setups and data flows
  • Democratize data and insights through data integration and the use of visualization tools
  • Work with media teams to create marketing plans and ensure measurement requirements are built into the media structure
  • Turn business requirements into metrics and implement tracking solutions to measure those metrics
  • Learn what makes an effective media plan so you can be the voice of the data for the media teams and clients to guide media planning and optimization
  • Build dashboards and supporting SQL database setups for weekly, monthly, and quarterly reports and analyses for clients
  • Provide ad-hoc data science-driven regression analyses that discover the connections not discernible from a dashboard or spreadsheet
  • Create clean, effective, and actionable presentations for clients and internal teams
  • Excellent analytical skills and the ability to plainly communicate results to clients and internal teams
  • Lead and contribute to processes (technical or business) improvements for reporting and analysis
  • Diligently see solutions through to the end and be meticulous on QA

Desired Skills/Qualifications:
  • Bachelor's Degree with 3.0 or higher GPA or equivalent work experience
  • 0-2 years of marketing or analytics experience
  • Creative problem-solving skills and clear communication of results to a non-technical audience
  • Excellent communication skills to both internal teams and clients - presenting to clients is an expectation
  • Fast learner, comfortable using advanced SQL, experience working with data pipelines, understanding data architecture
  • Experience working with 3rd party media tools such as Google Campaign Manager, data visualization tools (Looker, Tableau), Cloud DBs (Snowflake, Redshift), Pipeline tools (Rivery, Fivetran), and AI platforms (Data Robot, Dataiku)
  • Familiarity with tag managers, tagging implementation, website architecture, and CMS platforms is a plus
  • Meticulous attention to detail
  • Background in a logic-based field or experience in a logic-focused role is ideal
  • Experience with Amazon Web Services is a plus
  • Programming experience, Python in particular, is a plus

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