Data And Analytics Jobs in California
Data And Analytics jobs in California are among the most active in the country, concentrated in technology, finance, healthcare, and entertainment sectors with demand at every level from junior analyst to principal data scientist. The largest hiring metros are San Francisco, Los Angeles, and San Diego, where established employers such as Google, Wells Fargo, and Kaiser Permanente maintain significant data teams. The most sought-after specialties in California include machine learning engineering, business intelligence, and data engineering. See the openings below and apply to the ones that match your experience.
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- Own the end-to-end solution from data exploration and feature engineering through model training, validation, deployment, and performance monitoring.
- Develop and evaluate statistical and machine learning models, with clear justification for methodology and model selection.
- Write production-quality Python and SQL against multi-million-row datasets, with attention to performance, accuracy, and reliability.
- Translate ambiguous business questions into structured analyses and deliver actionable recommendations to stakeholders.
- Communicate analytical findings clearly to internal stakeholders, translating technical results into insights that support business decisions.
- Collaborate with data engineers in designing, validating, and maintaining ETL processes and data pipelines to ensure integrity, quality, and observability.
- Stay on top of emerging technologies in analytics, ML/AI, and cloud computing (familiarity with Snowflake and AWS SageMaker is a strong plus).
- Bachelor’s or Master’s degree in a quantitative discipline – Data Science, Engineering, Statistics, Mathematics, Computer Science, Economics, etc.
- 1–3 years of experience in Data Science, Engineering or a closely related role.
- Proven proficiency in Python (pandas, NumPy, scikit-learn) and SQL, with experience in data transformation, wrangling, and analysis against multi-million-row datasets.
- Working knowledge of statistical modeling and machine learning fundamentals, including model selection trade-offs, data leakage, class imbalance, and validation methodology.
- Hands-on experience across a range of modeling approaches, which may include regression and generalized linear models, tree-based and ensemble methods, time series forecasting, clustering, or neural networks.
- Solid working knowledge of relational databases — comfortable writing performant queries, optimizing slow ones, and reasoning about schemas, joins, and query plans at production scale.
- Demonstrated ability to work independently and manage competing priorities with limited supervision.
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences. A proactive, curious, and detail-oriented mindset with strong problem-solving abilities.
- Hands-on experience with business intelligence and visualization tools (Sigma, Tableau, Looker, or Power BI).
- Experience designing, validating, and maintaining ETL processes and data pipelines.
- Company sponsored Health, Dental, and Vision insurance
- 401K, traditional, and Roth with a company match
- Tuition Assistance or Tuition Reimbursement
- Unlimited Paid Time off
- Monthly Gym Reimbursement
- Paid time off to volunteer
- Paid Family Leave
- Complimentary office lunches
- Opportunity to grow
- Opportunity to work with a great team committed to making a difference.
- Salary Range: $100K to 120K (Based on experience) plus Bonus
- Own the end-to-end solution from data exploration and feature engineering through model training, validation, deployment, and performance monitoring.
- Develop and evaluate statistical and machine learning models, with clear justification for methodology and model selection.
- Write production-quality Python and SQL against multi-million-row datasets, with attention to performance, accuracy, and reliability.
- Translate ambiguous business questions into structured analyses and deliver actionable recommendations to stakeholders.
- Communicate analytical findings clearly to internal stakeholders, translating technical results into insights that support business decisions.
- Collaborate with data engineers in designing, validating, and maintaining ETL processes and data pipelines to ensure integrity, quality, and observability.
- Stay on top of emerging technologies in analytics, ML/AI, and cloud computing (familiarity with Snowflake and AWS SageMaker is a strong plus).
- Bachelor’s or Master’s degree in a quantitative discipline – Data Science, Engineering, Statistics, Mathematics, Computer Science, Economics, etc.
- 1–3 years of experience in Data Science, Engineering or a closely related role.
- Proven proficiency in Python (pandas, NumPy, scikit-learn) and SQL, with experience in data transformation, wrangling, and analysis against multi-million-row datasets.
- Working knowledge of statistical modeling and machine learning fundamentals, including model selection trade-offs, data leakage, class imbalance, and validation methodology.
- Hands-on experience across a range of modeling approaches, which may include regression and generalized linear models, tree-based and ensemble methods, time series forecasting, clustering, or neural networks.
- Solid working knowledge of relational databases — comfortable writing performant queries, optimizing slow ones, and reasoning about schemas, joins, and query plans at production scale.
- Demonstrated ability to work independently and manage competing priorities with limited supervision.
- Excellent communication skills with the ability to convey complex findings to both technical and non-technical audiences. A proactive, curious, and detail-oriented mindset with strong problem-solving abilities.
- Hands-on experience with business intelligence and visualization tools (Sigma, Tableau, Looker, or Power BI).
- Experience designing, validating, and maintaining ETL processes and data pipelines.
- Company sponsored Health, Dental, and Vision insurance
- 401K, traditional, and Roth with a company match
- Tuition Assistance or Tuition Reimbursement
- Unlimited Paid Time off
- Monthly Gym Reimbursement
- Paid time off to volunteer
- Paid Family Leave
- Complimentary office lunches
- Opportunity to grow
- Opportunity to work with a great team committed to making a difference.
- Salary Range: $100K to 120K (Based on experience) plus Bonus
See All 162+ Data And Analytics Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data And Analytics JobsData And Analytics Jobs by City in California
Where California roles are concentrated, by current openings.
Data And Analytics Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Biotechnology & Pharmaceuticals
- Retail
- Education
- Manufacturing
What California Employers Look For
The qualifications that appear most often in data and analytics jobs across California.
- Bachelor's or master's degree in statistics, computer science, mathematics, or a related field
- Proficiency in SQL and at least one programming language such as Python or R
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Familiarity with cloud data platforms including Google BigQuery, AWS Redshift, or Snowflake
- Demonstrated ability to translate complex data findings into actionable business insights
- Strong communication skills for presenting analysis to technical and non-technical stakeholders
Data And Analytics Jobs in California: Frequently Asked Questions
How do you become a data and analytics in California?
Most data and analytics roles in California require at least a bachelor's degree in a quantitative field such as statistics, computer science, data science, or economics. California does not issue a state license for most data and analytics positions, so hiring decisions rest heavily on education, a strong technical portfolio, and demonstrated tool proficiency. Many California employers also value graduate degrees or industry certifications from providers such as Google, Microsoft, or Databricks for more senior roles.
Which companies hire data and analyticss in California?
California data and analytics roles are posted by Meta, Apple, and Intuit and others right now, based on current listings on Migrate Mate as of September 2026. California's concentration of technology headquarters, major financial institutions, and large integrated health systems means consistent year-round demand across industries.
Which California cities have the most data and analytics jobs?
San Francisco, Los Angeles, and San Diego lead California for data and analytics openings. San Francisco and the broader Bay Area dominate because of the density of technology and fintech headquarters there, while Los Angeles draws significant hiring from entertainment, media, and e-commerce companies, and San Diego's strong biotech and defense sectors sustain steady demand for analytics talent.
Are there remote data and analytics jobs in California?
Yes, and more than most fields. About 62% of data and analytics openings tied to California are remote or hybrid as of September 2026, reflecting how well this work translates to distributed teams. Roles focused on business intelligence reporting, data modeling, and analytical strategy tend to offer the most remote flexibility, while positions requiring hands-on data infrastructure work are more likely to be on-site.
How can I get hired as a data and analytics in California with little or no experience?
The most realistic entry path in California is through an analyst or associate data role at a large technology, healthcare, or financial services employer. Companies such as Kaiser Permanente, Salesforce, and Bank of America run new-graduate and rotational analytics programs. Building a portfolio with public datasets and earning a credential such as the Google Data Analytics Certificate or an AWS cloud certification can strengthen an application. Lateral moves from roles such as business analyst, marketing coordinator, or financial analyst are also a common path into dedicated data and analytics positions.
Where can I find and apply to data and analytics jobs in California?
You can find and apply to data and analytics jobs in California on Migrate Mate, which lists current California openings across industries and experience levels. Search the listings to find roles that match your background and apply directly to the ones that fit.
See All 162+ Data And Analytics Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data And Analytics Jobs