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Entry Level 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 ...

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 ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

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.

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Airship

Data Analyst

Airship is recruiting for a Data Analyst to join our dynamic ASO Team. We work with top app ... and the Apple App Store! Successful candidates will have a huge impact on our business and can ...

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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 Jun 8, 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 May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst

Data Analyst

Good Apple

New York, NY • On-site

$69K - $85K/yr

Full-time

Posted 20 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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