ZipRecruiter

Log In

1

Data Analyst Tech Jobs in California (NOW HIRING)

City National Bank

Data Analyst

Los Angeles, CA · On-site

$60K - $104K/yr

Using SQL, Python, Tableau, Snowflake, Excel, AI tools, and other analytics technologies, the role contributes to the team's evolving data strategy while exercising judgment on high-priority and ...

Recruit Monitor

Remote Data Analyst

San Jose, CA · Remote

... technology solutions. You will design and develop data & analytics solutions using cutting-edge ... tools to improve data warehousing, financial reporting, reserve analytics, and various automation ...

Recruit Monitor

Remote Data Analyst

Long Beach, CA · Remote

... technology solutions. You will design and develop data & analytics solutions using cutting-edge ... tools to improve data warehousing, financial reporting, reserve analytics, and various automation ...

Technology Talent Network LLC

Be Seen First

Data Analyst

Los Angeles, CA · On-site

$65K - $85K/yr

Qualifications USC/GC/H4EAD Minimum 3-5 years of data analytics and experience. Proficiency in SQL ... Los Angeles, CA Technology Talent Network is an Equal Opportunity Employer M/F/V/D Company ...

New

Technology Talent Network LLC

Be Seen First

Data Analyst

Los Angeles, CA · On-site

$65K - $85K/yr

Qualifications USC/GC/H4EAD Minimum 3-5 years of data analytics and experience. Proficiency in SQL ... Los Angeles, CA Technology Talent Network is an Equal Opportunity Employer M/F/V/D Company ...

New

The Rockridge Group

Data Analyst

Concord, CA

Responsibilities As our Data Analyst, you will report to the Director of Marketing Technology. Your role will be to work across the marketing organization and cross-functional teams (IT, sales ...

Supermicro

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

We seek talented, passionate, and committed engineers, technologists, and business leaders to join us. Job Summary: Supermicro is seeking a Data Analyst to join our team. In this role, you will work ...

The Walt Disney Company

Data Analyst

Santa Monica, CA · On-site

Content Analytics Primary Job Posting Category: Tech Data Analytics Employment Type: Full time ... Primary City, State, Region, Postal Code: Santa Monica, CA, USA Alternate City, State, Region ...

Prosum

Data Analyst

Santa Monica, CA · On-site

Why is the Technology team important to Beachbody? Beachbody's technology team is leading the way ... Analyze data to determine requirements for a migration and updating of user data from one set of ...

Kforce Technology Staffing

Data Analyst

Sausalito, CA · On-site

Kforce's retail client in Sausalito, CA is seeking a Data Analyst with end-to-end experience with analytics workflow from post-ingestion data modeling through end-user consumption for a fully remote ...

New

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 ...

next page

Showing results 1-20

All JobsData Analyst Tech JobsData Analyst Tech Jobs in California

Data Analyst Tech information

See California salary details

$33.6K

$81.6K

$134.2K

How much do data analyst tech jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst tech in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data analyst tech?

Data Analyst Techs are professionals who use technical tools and methods to collect, process, and interpret data to help organizations make informed decisions. They often work with large datasets, using programming languages like Python or SQL, and data visualization tools to uncover trends and insights. Their work supports business strategies, identifies opportunities for improvement, and helps solve complex problems. Data Analyst Techs typically collaborate with other teams to ensure data accuracy and relevance, and to communicate their findings effectively.

What are some common challenges data analyst techs face when working with large datasets?

Data Analyst Tech professionals often encounter challenges such as ensuring data quality, managing inconsistencies, and handling missing or incomplete information when working with large datasets. Additionally, optimizing data processing for speed and efficiency can be demanding, especially when using complex analytical tools. Collaborating closely with IT and engineering teams is crucial to address these challenges and maintain data integrity throughout all stages of analysis.

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

To thrive as a Data Analyst Tech, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like computer science, mathematics, or information technology. Experience with data visualization tools (like Tableau or Power BI), SQL databases, and programming languages such as Python or R is typically required, along with certifications like Microsoft Certified Data Analyst Associate. Exceptional attention to detail, critical thinking, and effective communication are highly valued soft skills for interpreting data and sharing insights. Mastery of these skills ensures accurate data-driven decision-making and clear communication of findings to stakeholders.

What does a data analyst do in tech?

A data analyst in tech collects, processes, and analyzes large datasets to identify trends, generate reports, and support decision-making. They often use tools like Excel, SQL, and data visualization software, and require strong analytical skills and attention to detail.

What are popular job titles related to Data Analyst Tech jobs in California?

For Data Analyst Tech jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Analyst Tech jobs in California look for?

The top searched job categories for Data Analyst Tech jobs in California are:

What cities in California are hiring for Data Analyst Tech jobs?

Cities in California with the most Data Analyst Tech job openings:

Data Analyst Tech jobs near you
Infographic showing various Data Analyst Tech job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Sr Data Analyst, Tech

Uber Technologies, Inc.

San Francisco, CA • On-site

Full-time

Posted 14 days ago

Uber rating

6.7

Company rating: 6.7 out of 10

Based on 117 frontline employees who took The Breakroom Quiz

4th of 9 rated taxi private hire

Job description


About the role and team
Working at Uber means solving hard problems in a high-stakes, fast-moving environment. As a Senior Data Analyst, you will sit at the intersection of massive datasets and critical business strategy, turning raw data into the insights that move our business forward. This is not just a reporting role; it is a high-visibility, "truth-seeking" position where you will be expected to navigate ambiguity and deliver actionable recommendations to senior leadership.
You will need to stay adaptable and resilient, balancing technical depth with the ability to tell a compelling story to non-technical stakeholders. Whether you are optimizing advertising performance, driving regional sales strategy, or improving global community operations, you will own your work end-to-end. If you are energized by the challenge of translating complex data into real-world impact and are motivated by the "messy" reality of a global marketplace, this is where you'll grow.
Rate of Pay: $167,000 to $204,000 per Year
You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.
What you'll do
  • Develop data strategies, methods, tools, and insights to enable support teams to implement, evaluate, monitor, and improve customer support technology.
  • Use a combination of data analysis and communications methodologies to interpret and present insights to drive strategic decisions.
  • Transform complex data into clear narratives to answer key business questions and resonate with diverse audiences.
  • Demonstrate leadership communication by framing data-driven recommendations to shape strategy and align cross-functional teams around shared goals.
  • Build robust analytical frameworks and scalable data pipelines to empower analysts to perform deep dive investigations, uncover insights and enable analysis across teams.
  • Drive global-first thinking by designing sustainable, standardized solutions to eliminate one-off or ad hoc processes and enable consistency across markets.
  • Design product improvements and new features by leveraging user data to unlock trends and patterns to guide innovation and business growth.
  • Demonstrate agility by managing urgent, high-priority tasks while ensuring solutions remain thoughtful, accurate, and aligned with business objectives.
  • Build and maintain efficient data pipelines, ETL processes, and data products that ensure accuracy, scalability, and low maintenance across global teams.
  • Empower analysts and partners through scalable frameworks, training, and tools that enhance analytical efficiency and consistency.
  • Lead deep-dive analyses to uncover root causes of performance trends and identify actionable insights that guide strategy and operational improvements.
  • May telecommute.

Basic Qualifications
  • Employer will accept a Bachelor's degree in Economics, Business, Engineering, Operations Research, Communications, or related field, and three years of experience in the job offered or in a related occupation.
  • Position requires three years in:
    • Performing scalable analysis using R or Python;
    • Database query languages including SQL;
    • A/B testing, or simulation techniques;
    • Debugging and monitoring for production services;
    • Data analysis or Machine Learning Systems;
    • Quantitative modeling, including machine learning models, time-series forecasting or causal impact analyses;
    • Statistical analysis, including descriptive statistics, correlation, regression, or confidence intervals;
    • Framing and communicating data-driven recommendations to align cross-functional teams and shape strategy;
    • Building and scaling analytical frameworks, tools, and training to empower global analysts and partners.

About Us
Ready to Ride?
This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

What Uber employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply