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Data Analyst Jobs in Berkeley, CA (NOW HIRING)

Aquent

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

What You'll Do * Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights. * Develop and maintain ...

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 ...

Unchain Data

Senior Data Analyst

San Francisco, CA · On-site

$80 - $120/hr

The Role We're seeking our first data analytics hire to establish and own the data foundation for our rapidly growing GPU marketplace. This is a high-impact role where you'll work directly with ...

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 ...

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 ...

SCEYE INC

Data Analyst

San Francisco, CA · On-site

$85K - $110K/yr

Data Analyst Status: Full Time Location: Moriarty, NM Reports To: Chief of Technology Who Are We: Sceye is a high-growth technology company, building the next generation of instant communications ...

Planet

Data Analyst

San Francisco, CA · Hybrid

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet's mission and values. You will gain first-hand experience in ...

infini-tek

Data Analyst

San Ramon, CA · On-site

$85 - $110/hr

Infinite Tek, Inc . is seeking a qualified professional to fill the positions of Data Analyst based in San Ramon, CA. Responsibilities will include: Interpret and analyze business requirements, to ...

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 ...

Harper

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 ...

Air Apps

Data Analyst

San Francisco, CA · On-site

$104K - $184K/yr

The Role As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards ...

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:

Planet

Data Analyst

San Francisco, CA · On-site

$114K - $142K/yr

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet's mission and values. You will gain first-hand experience in ...

MIT RESOURCE

Data Analyst

San Francisco, CA · On-site

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 ...

Harper

Data Analyst

San Francisco, CA · On-site

$140 - $180/hr

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 ...

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:

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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 Sep 4, 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 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.

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 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 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.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

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.
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:

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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 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $101,188 per year, or $48.6 per hour.

Data Analyst

Aquent

Foster City, CA • On-site

$60.41 - $67.13/hr

Temporary

Medical, Dental, Vision, Retirement

Posted 7 days ago

Job description

Placement Type:
Temporary
Salary:
$60.41-67.13 Hourly
W2
Start Date:
Oct 5, 2026
Aquent is partnering with a pioneering company at the forefront of revolutionizing transportation through advanced autonomous technology. This organization is dedicated to creating a safer, more efficient future, and they are seeking exceptional talent to help drive their mission forward.
Are you passionate about leveraging data to drive real-world operational excellence and shape the future of autonomous mobility? We're seeking a talented Data Analyst to join a dynamic team, where your expertise will directly contribute to optimizing fleet performance, enhancing safety, and ensuring mission success. This is an incredible opportunity to translate complex data into actionable strategies that directly impact the efficiency and reliability of cutting-edge autonomous operations.
What You'll Do
  • Analyze operational data, including vehicle telemetry, service logs, and dispatch information, to identify critical trends and actionable insights.
  • Develop and maintain comprehensive dashboards and recurring reports for stakeholders across fleet operations, safety, and engineering.
  • Define, track, and report on key performance indicators (KPIs) related to fleet performance, mission success, operational readiness, and overall efficiency.
  • Ensure the accuracy, structure, and reliability of datasets used for all analytical purposes.
  • Collaborate closely with operations teams to understand their reporting needs and critical business questions.
  • Translate complex business requirements into robust data insights and reporting solutions, working hand-in-hand with engineering and product teams.
  • Empower self-service analytics by creating well-documented datasets, reports, and dashboards for broader organizational use.
  • Clearly communicate complex data findings and recommendations to both technical and non-technical audiences.
  • Proactively identify inefficiencies, recurring issues, and performance gaps through rigorous data analysis.
  • Provide timely, data-driven recommendations to support critical operational decision-making.
  • Help establish structured feedback loops to capture, analyze, and share operational learnings across the organization.
  • Contribute to the automation of recurring reports and reduction of manual efforts wherever possible.

Must-Have Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related quantitative field.
  • 3+ years of professional experience in data analysis, business intelligence, or analytics-focused roles.
  • Strong proficiency in SQL for complex querying, data manipulation, and in-depth analysis.
  • Demonstrated experience with data visualization tools such as Looker, Tableau, or Power BI.
  • Proven ability to work with large datasets, transforming raw data into clear, actionable insights.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Excellent communication skills, with the ability to present complex insights clearly and concisely to diverse audiences.
  • Ability to collaborate effectively across technical and non-technical teams.
  • Skilled at translating abstract business questions into concrete reporting and analytical solutions.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.

Nice-to-Have Qualifications
  • Experience with operational, logistics, or fleet-related data.
  • Proficiency in Python for data analysis and reporting.
  • Familiarity with Databricks or similar analytics platforms.

About Aquent Talent:
Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.
Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.
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