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Apple Data Analyst Jobs in Raleigh, NC (NOW HIRING)

At Apple, we work every day to craft products that enrich people's lives. If you're passionate ... analyzing lab data, proposing experiments, etc. Minimum Qualifications Bachelors of Science in ...

At Apple, we work every day to craft products that enrich people's lives. If you're passionate ... analyzing lab data, proposing experiments, etc. Preferred Qualifications Proven knowledge of RTL ...

At Apple, we work every day to craft products that enrich people's lives. If you're passionate ... test scripts, analyzing lab data, proposing experiments, etc. Minimum Qualifications BS and a ...

At Apple, we work every day to craft products that enrich people's lives. If you're passionate ... analyzing lab data, proposing experiments, etc. Preferred Qualifications Proven knowledge of RTL ...

Keep information regarding our clients, their data, and other sensitive information confidential ... Expertise with all aspects of Apple OS X * CompTIA A+, Network+, and various Microsoft ...

... clients, their data, and other sensitive information confidential • Create and maintain ... all aspects of Apple OS X • CompTIA A+, Network+, and various Microsoft certifications • ...

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Apple Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do apple data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for apple data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

How difficult is it to get hired at Apple?

Getting hired as a Data Analyst at Apple is competitive, requiring strong analytical skills, proficiency in data tools like SQL and Python, and relevant experience. The hiring process often involves multiple interviews and assessments to evaluate technical ability and cultural fit.

What are some of the main challenges faced by an Apple Data Analyst, and how can I prepare for them?

Apple Data Analysts often encounter challenges such as working with large, complex datasets and balancing multiple high-priority projects with tight deadlines. Navigating the company's fast-paced, data-driven culture requires strong critical thinking skills, meticulous attention to detail, and the ability to present complex findings to diverse stakeholders who may not have technical backgrounds. Preparing for these challenges involves building expertise in data manipulation, visualization, and business acumen, as well as developing strong communication skills. Additionally, being proactive in learning new tools and staying up-to-date with Apple’s evolving technologies can set you up for long-term success in the role.

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, a solid understanding of data analysis techniques, and familiarity with Apple's products and environment can improve chances. Applying through Apple's careers website and preparing for technical interviews are essential steps.

How much do data analysts make at Apple?

Data analysts at Apple typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and specific role. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in data analysis tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive in the Apple Data Analyst position, and why are they important?

To thrive as an Apple Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant education in data science, mathematics, or computer science. Familiarity with data analysis tools such as SQL, Python, Spark, and visualization platforms like Tableau, as well as Apple-specific internal systems, is important, and certifications in data analytics can be advantageous. Excellent problem-solving abilities, communication skills, and collaboration are key soft skills that distinguish top performers in this role. These capabilities are essential because the position demands extracting actionable insights from complex data, effectively communicating findings, and driving data-supported business decisions within a fast-paced, innovative environment.

Does Apple hire data analysts?

Yes, 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 R, and often involve working with large datasets to inform business decisions.

What is an Apple Data Analyst job?

An Apple Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help inform business decisions at Apple. They work with various teams to identify trends, optimize processes, and provide actionable insights using tools like SQL, Python, and data visualization platforms. This role requires strong analytical skills, attention to detail, and an understanding of Apple's products and business operations.

What are the most commonly searched types of Apple Data Analyst jobs in Raleigh, NC? The most popular types of Apple Data Analyst jobs in Raleigh, NC are:
What job categories do people searching Apple Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Apple Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Apple Data Analyst jobs? Cities near Raleigh, NC with the most Apple Data Analyst job openings:
Infographic showing various Apple Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Entry Level Data Analyst (Remote)

Entry Level Data Analyst (Remote)

SynergisticIT

Durham, NC • On-site

Other

Posted 12 days ago


Job description

Junior Data Scientist — Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience 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/ 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/ SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities— Contact us 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.