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Data Insight Jobs in California (NOW HIRING)

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

This role involves leveraging data-driven insights and advanced ML/AI solutions to support product development and transform the orthodontic industry. Responsibilities : • Act as a senior data ...

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

$116K - $198K/yr

Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms.

Sandisk

Sr. People Data Scientist

Milpitas, CA

Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms.

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

Enable trusted, self-service insights by collaborating with analytics and technical teams to ensure data quality, consistency, and ongoing enhancements to user-friendly analytics platforms.

Socket.dev

Senior Data Scientist

Santa Monica, CA · On-site

$150 - $190/hr

* The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value * As truth seekers and truth tellers, we relay what the data says ...

Socket.dev

Data Scientist (Level 4)

Santa Monica, CA · On-site

$120 - $180/hr

* The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says ...

The Voleon Group

Data Scientist

Berkeley, CA · On-site

$150 - $190/hr

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 ...

Super Micro Computer

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

Maintain and update forecasts on a daily and weekly basis to reflect the latest trends and insights ... Ensure data accuracy and integrity by applying best practices in data collection, validation, and ...

IEHP

Data Scientist II

Rancho Cucamonga, CA · On-site

This role involves collaboration with stakeholders to enhance data insights and contribute to quality program goals. Responsibilities : • modeling complex institutional problems • discovering ...

Boot Barn

Director, Data Science & Insights

Irvine, CA · On-site

$150K - $200K/yr

DIRECTOR, DATA SCIENCE & INSIGHTS REPORTS TO: CHIEF DIGITAL OFFICER STATUS: EXEMPT Summary Boot Barn is where community comes first. We thrive on togetherness, collaboration, and belonging. We build ...

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Showing results 41-60

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 Aug 15, 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 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 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 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 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, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Data Scientist, AIML Data Scientist

Apple, Inc.

Cupertino, CA • On-site

Other

Re-posted 11 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple's ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning & Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling & experimentation, and ad hoc analyses.
We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning & optimization with quantitative rigor-all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods.
Description
The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
Minimum Qualifications
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R
Preferred Qualifications
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization
Passion for AIML and Operations, with a consistent track record of operational results.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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