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Data Analyst Jobs in Berkeley, CA (NOW HIRING)

SupportFinity

Data Analyst

San Francisco, CA · Remote

$1.0K - $1.2K/mo

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams ...

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and metrics optimization. We will need you to assist in collecting data and putting it to practical use ...

Touro University

Data Analyst

Vallejo, CA

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Touro University California

Data Analyst

Vallejo, CA

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Touro University California

Data Analyst

Vallejo, CA · On-site

$74K/yr

Overview The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making ...

Candid Health

Data Analyst

San Francisco, CA

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Infinitus

Data Analyst

San Francisco, CA · On-site

There are also opportunities to develop skills in AI-assisted analytics, analytics engineering (dbt), advanced experimentation design, and in-depth healthcare data governance, should these areas ...

Touro University

Data Analyst

Vallejo, CA

$60K - $74K/yr

The Data Analyst will assist the AVP of Institutional Effectiveness and Academic Planning in leading the systematic collection, analysis, and distribution of data to guide decision-making and provide ...

Careerswift

Data Analyst

San Francisco, CA · Remote

About the role CelebriOS is looking for a Data Analyst to transform business data into clear, actionable insights. You will partner with teams across the organization to define metrics, create ...

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 insights, processes, and decisions behind our co-branded credit card platform. In this role, you'll ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

Harper

Data Analyst

San Francisco, CA

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a simple bet: turning ...

MIT RESOURCE

Data Analyst

San Francisco, CA

Data Analyst Location: either San Francisco or Charlotte, NC Duration: 12-18 months Duties & Responsibilities: The Candidate Must be responsible for key aspects of outbound email marketing and ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

Harper Group

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco. We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple bet: turning ...

Emendata

Data Analyst

San Francisco, CA · On-site

At Emendata, we help bridge the gap between data and the real world. We partner with organizations that have a social mission and help them tackle their problems using analytics. Our role in these ...

System One

Data Analyst

Daly City, CA · On-site

$25 - $28/hr

Data Analyst Location : San Francisco, CA Type : Contract-to-Hire Compensation: $25-$28/hour Contractor Work Model : Onsite Hours : Monday through Friday (8AM to 5PM) DATA ANALYST SUMMARY:

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Showing results 1-20

All JobsData Analyst JobsData Analyst Jobs in Berkeley, CA

Data Analyst information

See Berkeley, CA salary details

$41.6K

$101.2K

$166.5K

How much do data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs

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

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

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

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

What job categories do people searching Data Analyst jobs in Berkeley, CA look for?

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

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

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

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Berkeley, CA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $101,188 per year, or $48.6 per hour.

Data Analyst

SupportFinity

San Francisco, CA • Remote

$1.0K - $1.2K/mo

Full-time

Re-posted 3 days ago

Job description


We are looking for a talented Data Analyst to join one of our the most growing series A startup in the Bay Area. As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to help drive informed business decisions. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement. If you have a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail, we would love to hear from you!


Responsibilities

  • • Collaborate with cross-functional teams to identify and define data requirements for various projects.
    • Collect, clean, and analyze large datasets to extract meaningful insights and support data-driven decision making.
    • Develop and maintain data models, algorithms, and statistical models to uncover patterns and trends in data.
    • Create visually appealing and easy-to-understand reports and dashboards to present findings to stakeholders.
    • Continuously monitor data quality and accuracy, identifying and resolving any issues that may arise.
    • Stay updated with industry trends and best practices in data analysis techniques and tools.
    • Act as a trusted advisor, providing guidance and recommendations to improve business processes and outcomes based on data analysis.

Qualifications

  • • Strong analytical skills, with the ability to gather, organize, and interpret complex data sets.
    • Proficient in using data visualization tools to present findings in a clear and concise manner.
    • Excellent problem-solving abilities, with a keen eye for identifying patterns and trends within data.
    • Strong attention to detail, ensuring accuracy and reliability in data analysis and reporting.
    • Effective communication skills, both verbal and written, to collaborate with team members and present findings to stakeholders.
    • Proficient in programming languages such as Python or R, with the ability to manipulate and analyze data efficiently.
    • Adept at working with large datasets, utilizing statistical techniques to extract meaningful insights and drive informed decision-making.