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Geospatial Data Analyst Jobs in California (NOW HIRING)

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

If you are passionate about geospatial technologies, AI-driven data quality management, and ... Ability to analyze software/algorithms and identify improvements * Experience with software ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

If you are passionate about geospatial technologies, AI-driven data quality management, and ... Ability to analyze software/algorithms and identify improvements * Experience with software ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker) to support analysis. Familiarity with ISO 26262 or other functional safety standards Benefits ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker) to support analysis. Familiarity with ISO 26262 or other functional safety standards Benefits ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Experience with geospatial data analysis. Experience with business intelligence tools (e.g., Looker) to support analysis. Familiarity with ISO 26262 or other functional safety standards Benefits ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site

$123K - $162K/yr

... enhance geospatial data quality capabilities across the ArcGIS platform. The role involves ... analyze software/algorithms and identify improvements • Experience with software development ...

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All JobsGeospatial Data Analyst JobsGeospatial Data Analyst Jobs in California

Geospatial Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do geospatial data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for geospatial data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

Is a geospatial data analyst a good career?

A geospatial data analyst is a viable career option with demand in industries such as urban planning, environmental management, and transportation. The role involves working with GIS software, spatial data, and analytical skills, often requiring a bachelor's degree and proficiency in tools like ArcGIS or QGIS. Job prospects are generally stable, with opportunities for advancement and specialization.

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

To thrive as a Geospatial Data Analyst, you need a solid background in geography, spatial analysis, and data interpretation, typically supported by a degree in geography, GIS, or a related field. Experience with GIS software like ArcGIS or QGIS, database management systems, and programming languages such as Python or SQL is highly valued, along with relevant certifications like GISP. Strong analytical thinking, attention to detail, and effective communication skills are essential soft skills for conveying complex spatial data insights to diverse stakeholders. These competencies enable you to analyze and present geographic information accurately, driving impactful decision-making in sectors such as urban planning, environmental management, and logistics.

What is a geospatial data analyst?

A Geospatial Data Analyst collects, processes, and interprets geographic data to identify patterns, trends, and relationships. They use Geographic Information Systems (GIS), remote sensing, and spatial analysis techniques to support decision-making in fields like urban planning, environmental management, and logistics. Their work may involve creating maps, developing models, and analyzing datasets from satellite imagery, GPS, and other sources. The role requires proficiency in GIS software, programming languages like Python or R, and strong analytical skills.

What are some typical projects or challenges a geospatial data analyst might work on in this role?

Geospatial Data Analysts often work on projects such as mapping trends in urban development, optimizing transportation routes, analyzing environmental changes, or supporting emergency response planning. Common challenges include integrating large and varied datasets, ensuring data accuracy and consistency, and effectively visualizing results for non-technical audiences. On a typical day, you might collaborate with urban planners, engineers, or environmental scientists, using advanced GIS tools and spatial analytics to solve real-world problems. This role provides continuous learning opportunities as new technologies and spatial data sources emerge, making it ideal for detail-oriented and analytical professionals who enjoy tackling complex spatial questions.

Is a geospatial data analyst in demand?

Yes, geospatial data analysts are in high demand across industries such as urban planning, environmental management, and transportation, due to the increasing reliance on geographic information systems (GIS) and spatial data analysis. Employers seek professionals skilled in GIS software, data visualization, and spatial analysis to support decision-making and infrastructure development.
What are popular job titles related to Geospatial Data Analyst jobs in California? For Geospatial Data Analyst jobs in California, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Analyst jobs in California look for? The top searched job categories for Geospatial Data Analyst jobs in California are:
Geospatial Data Analyst jobs near you
Infographic showing various Geospatial Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance

San Ramon, CA • On-site

Full-time

Re-posted 23 days ago

Job description

Job Summary:
Berkshire Hathaway Specialty Insurance (BHSI) is a strategic and trusted insurance partner providing a broad range of commercial insurance coverages. They are seeking a Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics team, responsible for applying data science techniques to assess risk and develop models for various natural and man-made perils.
Responsibilities:
• Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets.
• Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk.
• Work with domain experts across teams and perils to enhance our use of available data.
• Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions.
Qualifications:
Required:
• Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
• Advanced knowledge of probability theory, statistics, and machine learning methods is required
• Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
• Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
• Strong written and verbal communication skills
• Comfort working within git-based version-control environments
• Highly motivated, detail oriented, and team player
Preferred:
• 3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
• Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
• Strong programming skills in Python (preferred), R, and SQL
• Experience and understanding of relational and non-relational databases preferred
• Experience with Databricks or other cloud-based data and analytics platforms preferred
Company:
Berkshire Hathaway Specialty Insurance is a company providing risk solutions and claims care. Founded in 2013, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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