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Remote Apple Data Analyst Jobs in Berkeley, CA (NOW HIRING)

Landpoint

Remote Data Analyst

Fremont, CA · Remote

These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth. Skills; Analytical and problem-solving ...

Cardless

Data Analyst

San Francisco, CA · On-site +1

$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 ...

QuinStreet

Lead Data Analyst

Foster City, CA · Remote

$120K - $160K/yr

Key liaison between business and technical teams in managing day to day data analytics. * Lead a ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

Easy Recruiter

Senior Data Analyst (Remote)

San Francisco, CA · On-site +1

$101K - $127K/yr

The Senior Data Analyst provides financial analytical support to drive the Agency Division forward. This role is critical in managing the agency title remittances process, collection of current and ...

QuinStreet

Senior Data Analyst

Foster City, CA · Remote

$80K - $130K/yr

... data-proven results * Strong analytical, organizational and problem-solving skills including ... REMOTE QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race ...

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All JobsApple Data Analyst JobsRemote Apple Data Analyst JobsRemote Apple Data Analyst Jobs in Berkeley, CA

Remote Apple Data Analyst information

See Berkeley, CA salary details

$41.6K

$101.2K

$166.5K

How much do remote apple data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote apple data analyst in Berkeley, CA is $101,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $118,800.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Apple Data Analyst jobs in Berkeley, CA?

The most popular types of Apple Data Analyst jobs in Berkeley, CA are:

What are popular job titles related to Remote Apple Data Analyst jobs in Berkeley, CA?

For Remote Apple Data Analyst jobs in Berkeley, CA, the most frequently searched job titles are:

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The top searched job categories for Remote Apple Data Analyst jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Remote Apple Data Analyst jobs?

Cities near Berkeley, CA with the most Remote Apple Data Analyst job openings:

Remote Apple Data Analyst jobs near you
Infographic showing various Remote Apple Data Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $101,188 per year, or $48.6 per hour.

Remote Data Analyst

Landpoint

Fremont, CA • Remote

Full-time

Re-posted 7 days ago

Job description

What is data analyst ?

A data analyst is a professional who collects, cleans, and analyzes data to answer questions or solve problems. They work in many industries, including business, finance, science, medicine, and government

To excel as a remote data analyst, professionals must possess a combination of technical skills, soft skills, and industry-specific expertise. These essential skills enable analysts to effectively work with data, collaborate with remote teams, and provide valuable insights that drive business growth.

Skills;

Analytical and problem-solving skills

Knowledge of statistics and mathematics

Experience with spreadsheets

Experience with statistical languages

Experience with scripting languages

Knowledge of database management systems

Data visualization skills

Data Analyst Job Description: Key Responsibilities

Remote data analysts play a crucial role in driving business growth and decision-making by transforming raw data into actionable insights. Their key responsibilities include:

Collecting and interpreting data from various sources: Data analysts are responsible for gathering data from multiple sources, such as databases, APIs, and spreadsheets. They then interpret this data, identifying patterns and trends that can provide valuable insights for the business.

Analyzing data to identify trends and patterns: Once the data has been collected and interpreted, data analysts use various statistical methods and tools to analyze it. By identifying trends and patterns, they can provide insights that help businesses make data-driven decisions.

Creating reports and visualizations to present findings: Data analysts use data visualization tools like Tableau and Power BI to create clear and engaging reports that effectively communicate their findings to stakeholders. These visualizations help businesses understand complex data and make informed decisions.

Collaborating with cross-functional teams to support business objectives: Data analysts work closely with various teams within the organization, such as marketing, sales, and product development. By collaborating with these teams, they can provide data-driven insights that help support the company's overall business objectives.

Ensuring data accuracy and compliance with relevant regulations: Data analysts must ensure that the data they collect and analyze is accurate and reliable. They must also comply with any relevant regulations, such as data privacy laws, to protect the organization from potential legal issues.

Technical Skills

Data manipulation and analysis tools: Proficiency in tools like Excel, SQL, Python, and R is crucial for data analysts to efficiently collect, clean, and analyze data from various sources.

Data visualization tools: Mastery of visualization tools such as Tableau and Power BI helps analysts create impactful visual representations of their findings, making it easier for stakeholders to understand complex data.

Knowledge of statistical methods and machine learning algorithms: A deep understanding of statistical methods and machine learning algorithms allows data analysts to identify trends and patterns, providing valuable insights for decision-making.

Soft Skills

Effective communication and collaboration: Remote data analysts must be able to clearly and concisely communicate their findings and collaborate with cross-functional teams to support business objectives.

Attention to detail and problem-solving abilities: A keen eye for detail and strong problem-solving skills are essential for identifying data anomalies and ensuring data accuracy.

Time management and organization: Remote work requires excellent time management and organizational skills to stay on track and meet deadlines.

Adaptability and self-learning capabilities: As technology and industry trends evolve, remote data analysts must be adaptable and committed to continuous learning to stay ahead of the curve.

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