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Apple Data Analyst Jobs (NOW HIRING)

Cardless, Inc

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

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 ...

Apple

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 ...

Apple, Inc.

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 ...

Apple

PART Data Applications Engineer

Culver City, CA

$120K - $201K/yr

Apple is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within our Finance Process, Analytics, Reporting & Technology (PART) Data Operations group. You'll design and build the ...

Apple

Data Center, Product Design Engineer

Austin, TX

$127K - $153K/yr

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 ...

Apple

WPC Apple Card Data Scientist

Cupertino, CA

$175K - $311K/yr

... at Apple is looking for a full-stack Data Scientist who is passionate about crafting and ... analyses on large-scale datasets to uncover insights that inform and influence cross functional ...

Apple, Inc.

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 ...

Apple

PART Data Applications Engineer

Culver City, CA

$120K - $201K/yr

Apple is seeking a hands-on Data Engineer to join the Next-Gen Workflow team within our Finance Process, Analytics, Reporting & Technology (PART) Data Operations group. You'll design and build the ...

Apple

Controls Engineer, Data Center Engineering

Dallas, TX · On-site

$82K - $106K/yr

Join Apple's Information Systems and Technology (IS&T) organization. IS&T is the engine behind ... Python scripting for data analysis or system integration; experience with Fault Detection and ...

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All JobsApple Data Analyst Jobs

Apple Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do apple data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for 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 are 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.

What skills and qualifications are needed to be an Apple data analyst?

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.

What is an Apple data analyst?

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.

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Apple Data Analyst jobs near you
Infographic showing various Apple Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Cardless, Inc

San Francisco, CA • On-site

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the insights, processes, and decisions behind our co-branded credit card platform. In this role, you'll work across domains including applications, accounts, transactions, fraud, risk, rewards, and partner operations to support high-impact initiatives and ensure the reliability, accuracy, and efficiency of our core systems and business workflows.
As an analyst at Cardless, you'll dive deep into data, identify opportunities, streamline operational processes, and collaborate closely with cross-functional teams to deliver insights and durable improvements to our platform.
Responsibilities
  • Analyze operational, product, and financial data to identify trends, diagnose issues, and surface actionable insights
  • Build dashboards, reporting frameworks, and monitoring tools that improve visibility into system and business performance
  • Partner with product managers, engineers, and risk/compliance teams to support the design of new features, workflows, and policies
  • Evaluate and optimize business processes across the customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)
  • Perform deep-dive investigations into anomalies, system issues, or partner escalations; help determine root causes and drive remediation
  • Support forecasting, business reviews, and strategic planning with clear, data-driven analysis
  • Contribute to improving data quality, documentation, and analytical rigor across the organization
  • For senior candidates: provide guidance to teammates, lead medium-sized cross-functional projects, and influence strategic decisions
Requirements
  • 3-7 years of experience in an analytical, operations, strategy, or data-focused role
  • Strong proficiency with data analysis tools (SQL, Excel/Sheets, Python)
  • Experience using AI tools in a professional setting (e.g., for workflows, analysis, automation, or insight generation)
  • Demonstrated ability to integrate AI into day-to-day work (prompt design, model evaluation, data prep, or workflow optimization)
  • Experience working with large datasets and building reliable reporting/dashboarding (Looker, Tableau, Omni, Mode, or similar)
  • Solid understanding of business processes, KPIs, and analytical frameworks; able to independently break down ambiguous problems
  • Excellent communication skills - able to translate complex analysis into clear insights for technical and non-technical partners
  • Track record of collaborating effectively with product, engineering, or operations teams
  • Ability to manage multiple priorities, take ownership, and drive projects end-to-end
  • Curiosity, attention to detail, and a passion for building well-structured analytical systems and business processes
  • Bonus: experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
Nice to have
  • Experience building or deploying internal AI tools, automations, or agents to improve productivity or business operations
  • Familiarity with financial systems, reconciliation workflows, or data integrity challenges
  • Experience in fintech, credit/financial systems, fraud, risk, or customer lifecycle analytics
Why Cardless
You'll join a collaborative, fast-moving team that values craftsmanship, curiosity, and impact. We're building products that enable leading brands to offer credit in new ways - and we're just getting started.
This role has an annual starting salary range of $130,000-$200,000 + equity + benefits (see above). Actual compensation is influenced by a wide array of factors including but not limited to skills, experience, and specific work location.
Benefits
We're headquartered in San Francisco, CA, with a beautiful office in the Mission District. We're proud to offer our team excellent benefits:
Meaningful Start-up equity
100% health, vision & dental primary coverage
+ 75% health, vision & dental dependent coverage
Catered lunches
$250/month Commuter benefit
Parental leave
Team building events & happy hours
Flexible PTO with a minimum of 15 days off per year
Apple equipment
401k plan
Location
We're headquartered in San Francisco, CA, with a beautiful office in Jackson Square. We welcome employees who want to work from this office; we offer additional benefits to those who do, and relocation assistance to those who'd like to.
We regularly bring our team together for offsites & trips, about every 2 months, both for fun and for work. We cover all travel & lodging in these cases.

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