Data Analytics Specialist Jobs in California
Data Analytics Specialist jobs in California are among the most active in the country, concentrated in technology, healthcare, financial services, and entertainment across experience levels from entry-level analyst through senior specialist and team lead. The largest hiring activity is centered in San Francisco, Los Angeles, and San Diego, where companies like Google, Kaiser Permanente, and Wells Fargo maintain significant analytics operations. The most in-demand specialties are business intelligence, predictive modeling, and marketing analytics. Find a role that fits below and apply directly.
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Showing 5 of 171+ Data Analytics Specialist jobs
- 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 171+ Data Analytics Specialist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsData Analytics Specialist Jobs by City in California
Where California roles are concentrated, by current openings.
Data Analytics Specialist 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 analytics specialist jobs across California.
- Bachelor's degree in data science, statistics, mathematics, or a related quantitative field
- Proficiency in SQL and at least one programming language such as Python or R
- Experience with business intelligence tools like Tableau, Power BI, or Looker
- Ability to translate complex data findings into clear recommendations for non-technical stakeholders
- Familiarity with large datasets, data cleaning pipelines, and cloud platforms such as AWS or Google Cloud
- Experience working with cross-functional teams in fast-paced environments common to California's tech and healthcare sectors
Data Analytics Specialist Jobs in California: Frequently Asked Questions
How do you become a data analytics specialist in California?
Most California employers expect a bachelor's degree in data science, statistics, computer science, or a related quantitative field, though some accept equivalent work experience with a strong portfolio. There is no state-issued license required to practice data analytics in California. Building skills in SQL, Python, and a major visualization platform like Tableau or Looker, combined with a portfolio of real projects, is the most direct path to landing your first role.
How much do data analytics specialists make in California?
Data analytics specialists in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics specialists in California?
Employers hiring data analytics specialists in California right now include Meta, Apple, and Intuit, based on current listings on Migrate Mate as of September 2026. California's concentration of technology headquarters, major health systems, and large financial institutions means consistent demand for analytics talent across industries and company sizes.
Which California cities have the most data analytics specialist jobs?
San Francisco, Los Angeles, and San Diego have the most data analytics specialist openings in California. San Francisco leads because of its dense concentration of technology companies and fintech firms, while Los Angeles reflects demand from the entertainment, media, and healthcare industries, and San Diego draws from its large biotech and defense research base.
Are there remote data analytics specialist jobs in California?
Yes, and more than most fields. About 61% of data analytics specialist openings tied to California are remote or hybrid as of September 2026, reflecting how well-suited the role is for distributed work. Reporting, dashboard development, and statistical modeling tend to be the most fully remote functions, while roles requiring close collaboration with product or operations teams are more likely to follow a hybrid schedule.
How can I get hired as a data analytics specialist in California with little or no experience?
The most realistic entry path is landing an analyst associate or junior data analyst role at a large California employer, then moving into a specialist title after building a project record. Technology companies across the Bay Area and healthcare systems like Kaiser Permanente and Sutter Health run structured associate analyst programs that accept candidates with academic projects in place of professional experience. A strong portfolio demonstrating SQL queries, Python scripts, and a finished Tableau or Power BI dashboard does more than a generic resume, and Google's data analytics certificate is widely recognized by California hiring managers as a credible starting credential.
Where can I find and apply to data analytics specialist jobs in California?
You can find and apply to data analytics specialist jobs in California on Migrate Mate, which lists current California openings. Find roles that fit your experience and location and apply directly.
See All 171+ Data Analytics Specialist Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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