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Data Insight Jobs in California (NOW HIRING)

The Voleon Group

Data Scientist

Berkeley, CA · On-site +1

$150K - $190K/yr

As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of ...

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

You will play a crucial role in developing insights from data, presenting findings, and providing actionable recommendations to enhance our business processes and project outcomes. Hybrid work ...

Aquent

Data Analyst

Foster City, CA · On-site

$60.41 - $67.13/hr

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 ...

PM2CM

Senior Data Analyst

Pomona, CA · Hybrid

$86K - $109K/yr

You will play a crucial role in developing insights from data, presenting findings, and providing actionable recommendations to enhance our business processes and project outcomes. Hybrid work ...

PM2CM

Senior Data Analyst

Pomona, CA · On-site

$86K - $109K/yr

You will play a crucial role in developing insights from data, presenting findings, and providing actionable recommendations to enhance our business processes and project outcomes. Hybrid work ...

Ramp

Data Scientist

San Francisco, CA · On-site

$140 - $200/hr

This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design ...

Aquent

Data Analyst (212647)

Santa Clara, CA · On-site

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 ...

Aquent

Data Analyst (212647)

Alameda, CA · On-site

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 ...

Aquent

Data Analyst (212647)

Sonoma, CA · On-site

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 ...

Aquent

Data Analyst (212647)

Hayward, CA · On-site

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 ...

Aquent

Data Analyst (212647)

San Mateo, CA · On-site

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 ...

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Showing results 21-40

All JobsData Insight JobsData Insight Jobs in California

Data Insight information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data insight jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data insight in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What is a data insight professional?

Data Insight professionals are experts who analyze and interpret data to uncover valuable trends, patterns, and actionable information that help organizations make informed decisions. They use various analytical tools and techniques to transform raw data into meaningful insights that can drive business strategies, optimize operations, and solve complex problems. Their work typically involves collecting, cleaning, and processing data, as well as presenting findings to stakeholders in a clear and impactful way.

How does a data insight professional typically collaborate with other departments within an organization?

Data Insight professionals frequently work cross-functionally, partnering with teams such as marketing, product, finance, and operations to translate raw data into actionable business strategies. They often participate in meetings to understand stakeholder goals, gather requirements, and present their findings through clear reports or visualizations. Effective communication and the ability to tailor insights for non-technical audiences are crucial, as these professionals help bridge the gap between data analysis and strategic decision-making across the company.

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

To thrive as a Data Insight professional, you need strong analytical skills, statistical knowledge, and a background in data science or a related field. Proficiency in data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI, along with relevant certifications, is typically required. Exceptional problem-solving abilities, business acumen, and effective communication skills help translate complex data into actionable insights. These capabilities are critical for driving data-driven decisions and generating measurable business value.

What is the difference between Data Insight vs Data Analyst?

AspectData InsightData Analyst
Required CredentialsTypically a degree in data science, analytics, or related fields; certifications like Tableau, Power BIOften a degree in statistics, mathematics, or related fields; certifications in Excel, SQL, or analytics tools
Work EnvironmentCollaborates with business teams to provide strategic insights; may work in tech, finance, marketingAnalyzes data sets, prepares reports, and visualizations; works across various industries
Employer & Industry UsageUsed by companies seeking actionable insights for decision-makingEmployed in diverse sectors for data analysis and reporting

Data Insight professionals focus on deriving strategic insights from data to inform business decisions, often working closely with stakeholders. Data Analysts primarily analyze data sets, create reports, and visualize data to support operational and strategic needs. While both roles require analytical skills and familiarity with data tools, Data Insights roles tend to emphasize strategic thinking and business impact, whereas Data Analysts focus on data processing and reporting.

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

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

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

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

Data Insight jobs near you
Infographic showing various Data Insight job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Staff Data Engineer, Search, Data Science

Google

Mountain View, CA • On-site

Full-time

Re-posted 11 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

Job Summary:
Google is a leading technology company, and they are seeking a Staff Data Engineer to drive Search product excellence and growth with data insights. The role involves building scalable data foundations and collaborating with cross-functional teams to transform data into actionable insights.
Responsibilities:
• Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.
• Architect organization-wide initiatives for metrics convergence to establish single-source-of-truth foundations for operational and topline Search metrics.
• Integrate core data systems with Google's backend infrastructure, ensuring technical designs are optimized for both massive scale and low-latency consumption.
• Collaborate with Product Data Scientists and Engineering leads to identify growth and quality opportunities, bridging the gap between raw data and actionable insights.
• Act as a primary technical advisor to Search leadership, transforming ambiguous product goals into solid architectural decisions.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience in software development, including large-scale data systems or information retrieval.
• Experience with programming in C++, Java, Python, or Go.
• Experience designing and maintaining data pipelines.
Preferred:
• Understanding of the Search product landscape and its unique data issues (e.g., latency, richness, quality).
• Track record of leading organization-wide technical debt reduction or metrics convergence projects.
• Ability to navigate a matrixed organization and drive alignment across cross-functional teams.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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