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Entry Level Apple Data Analyst Jobs (NOW HIRING)

Data Analyst

Fort Worth, TX · On-site

$26 - $36/hr

Job Title: Data Analyst Our Vision: RigUp is where the best workers power the world's most ... We are seeking a motivated and detail-oriented entry-level Land, Regulatory & Engineering Analyst ...

The Apple Data Center Product Design Engineering team works with other engineering groups to ... analyses. Work closely with our data center operations team, security, and safety teams to ensure ...

AFC Systems Data Analyst

New York, NY · Hybrid

$100K - $120K/yr

... Apple Bank's (the Bank) Anti-Financial Crime (AFC) Department. The SU is a second line function ... The AFC Systems Data Analyst is a member of the SU and is responsible for the daily operations ...

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Entry-Level Data Analyst Full-Time (W2) Candidate must open to relocate. We are looking for a detail-oriented and analytical Entry-Level Data Analyst to join our team. The ideal candidate will ...

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Business Data Analyst (Entry Level) Cape Coral, FL | Full-Time | On-Site About the Role We are seeking a motivated and detail-oriented Entry Level Business Data Analyst to join our growing team in ...

Position Summary The Data Analyst supports the Personal Lines team by analyzing data, creating ... This entry-level role is ideal for a recent graduate with strong technical skills who can ...

Data analyst I

Austin, TX · On-site

$25 - $28/hr

1-3 years' experience in data analysis Strong Microsoft Excel skills (must-have) Experience with Power BI Entry-level knowledge of C++ and CSS (nice-to-have, not core) Engineering Technician I Active ...

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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 Jul 22, 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.

Can I work at Apple with no experience?

Entry level data analyst roles at Apple typically require some relevant skills such as data analysis, proficiency with tools like Excel or SQL, and a basic understanding of data concepts. While prior experience is often preferred, candidates with strong analytical skills and a willingness to learn can sometimes qualify for entry-level positions without extensive experience.

How do I get into Apple as a data analyst?

To become a data analyst at Apple, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science, along with strong skills in SQL, Excel, and data visualization tools. Relevant experience, internships, or certifications in data analysis can improve chances, and familiarity with Apple's products and a strong problem-solving ability are advantageous.

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 are entry level positions at Apple?

Entry level positions at Apple include roles such as Data Analyst, Customer Support Associate, and Retail Specialist. These positions typically require minimal prior experience, focus on specific skills like data analysis or customer service, and often offer on-the-job training. They are suitable for recent graduates or individuals starting their careers in technology and retail environments.

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.

Does Apple hire data analysts?

Apple hires data analysts to support various departments such as operations, marketing, and product development. These roles typically require skills in data analysis tools like SQL, Python, or Excel, and often involve working with large datasets to inform business decisions.

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.
More about Entry Level Apple Data Analyst jobs
What cities are hiring for Entry Level Apple Data Analyst jobs? Cities with the most Entry Level 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 Entry Level Apple Data Analyst jobs? States with the most job openings for Entry Level Apple Data Analyst jobs include:
Infographic showing various Entry Level Apple Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Junior/Entry Level Data Scientist/Analyst

Junior/Entry Level Data Scientist/Analyst

SynergisticIT

Mobile, AL • On-site

Other

Posted 21 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! You Don't Need Luck — You Need Strategy Many job seekers think getting hired is about luck, timing, or chance. But the truth is, it's about strategy. SynergisticIT gives you a proven, structured approach to enter the tech industry. You'll work on high‐demand technologies, build real‐world projects, and receive interview preparation that helps you stand out. Also get sent directly to Fortune 500 companies, giving you access to opportunities that bypass traditional hiring barriers. You don't need luck — you need a plan. Synergisticit gives you the strategy that leads to real results. If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn—but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough.” It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready. We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI—full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI—so you don't graduate with scattered skills, you graduate with an employable stack. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k–$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number—it's that results require a structured pathway, not random applications. Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals—coding, debugging, data structures, system thinking—and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level” candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors”—they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuck— Fresh grads often struggle for four predictable reasons: Resume doesn't match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned). Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes.” Who this path fits best If you're a recent graduate, you'll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelor's or Master's programs who need a real hiring plan Candidates who apply consistently but don't get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities. If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer. please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Event videos (OCW, JavaOne, Gartner): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Client JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses.” You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn—it's how you learn and who you build with that decides how far you go. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume