Director Of Data Analytics Jobs in California
Director Of Data Analytics jobs in California represent one of the most active markets in the country, concentrated in technology, financial services, healthcare, and entertainment across a seniority range from senior individual contributors moving into leadership through seasoned executives. The heaviest hiring is in the San Francisco Bay Area, Los Angeles, and San Diego, where employers like Google, Kaiser Permanente, and Wells Fargo maintain large analytics organizations. The most in-demand specialties are marketing analytics, product analytics, and data platform strategy. Find a role that fits below and apply directly.
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Showing 5 of 170+ Director Of Data Analytics 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 170+ Director Of Data Analytics Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find JobsDirector Of Data Analytics Jobs by City in California
Where California roles are concentrated, by current openings.
Director Of Data 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 director of data analytics jobs across California.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Seven or more years of progressive analytics experience including at least three in a people management role
- Proficiency with SQL, Python or R, and enterprise BI platforms such as Tableau or Looker
- Demonstrated experience building and scaling analytics teams in a fast-moving California technology or enterprise environment
- Ability to translate complex data findings into strategic recommendations for C-suite and cross-functional stakeholders
- Experience with cloud data platforms such as Snowflake, BigQuery, or Databricks in a production environment
Director Of Data Analytics Jobs in California: Frequently Asked Questions
How do you become a director of data analytics in California?
The role carries no state-issued license in California, so the path runs through education and progressive experience. Most hiring managers expect a bachelor's degree in a quantitative discipline and a master's in data science, statistics, or business analytics is increasingly preferred. Candidates typically move from analyst to senior analyst to analytics manager before reaching director level, building leadership and cross-functional communication skills alongside technical depth in tools like SQL, Python, and cloud data platforms.
Which companies hire director of data analyticss in California?
Employers hiring director of data analyticss 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 financial institutions means director-level analytics roles appear across a wide range of industries and company sizes throughout the state.
Which California cities have the most director of data analytics jobs?
The California cities with the most director of data analytics openings are San Francisco, Los Angeles, and San Diego. The Bay Area dominates because of its density of technology and fintech headquarters, while Los Angeles draws demand from entertainment, media, and e-commerce companies, and San Diego's concentration of biotech and healthcare firms generates consistent director-level openings in those sectors.
Are there remote director of data analytics jobs in California?
Yes, and more than most fields. About 61% of director of data analytics openings tied to California are remote or hybrid as of September 2026, reflecting how central analytical and strategic work is to distributed technology organizations. The parts of the role most likely to stay fully remote are data strategy, reporting infrastructure oversight, and stakeholder presentations, while on-site presence is more common when the role involves embedded partnership with product or engineering teams.
How can I get hired as a director of data analytics in California with little or no experience?
The most realistic entry path is building a strong analytics management foundation before pursuing director-level roles. Candidates without prior director experience often move laterally from senior analytics manager, head of business intelligence, or principal data scientist positions at California technology or healthcare companies. Large employers like Salesforce, Anthem Blue Cross, and UC Health systems run internal development programs that promote analytically strong managers into director tracks. A demonstrated portfolio of cross-functional projects and a master's degree give candidates a measurable edge during competitive California searches.
Where can I find and apply to director of data analytics jobs in California?
You can find and apply to director of data analytics jobs in California on Migrate Mate, which lists current California openings updated regularly. Find roles that fit your experience and location preferences and apply directly to the employers posting them.
See All 170+ Director Of Data Analytics Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
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