ZipRecruiter

Log In

1

Senior Geospatial Intelligence Analyst Jobs in California

Cooley

Competitive Intelligence Analyst

San Diego, CA · On-site

Under the management of the Senior Competitive Intelligence Manager, the Competitive Intelligence Analyst will work productively with all members of the global CI team within the Data Delivery ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site +1

$83K - $166K/yr

BKF is hiring a senior geospatial analyst to join our ArcGIS team. The ideal candidate would be an experienced geospatial analyst and would be able to support figure production, firm-wide analytics ...

Cooley

Competitive Intelligence Analyst

Palo Alto, CA · On-site

Under the management of the Senior Competitive Intelligence Manager, the Competitive Intelligence Analyst will work productively with all members of the global CI team within the Data Delivery ...

BKF

Geospatial Technical Specialist

Riverside, CA · On-site

$83K - $166K/yr

BKF is hiring a senior geospatial analyst to join our ArcGIS team. The ideal candidate would be an experienced geospatial analyst and would be able to support figure production, firm-wide analytics ...

next page

Showing results 1-20

All JobsGeospatial Intelligence Analyst JobsSenior Geospatial Intelligence Analyst JobsSenior Geospatial Intelligence Analyst Jobs in California

Senior Geospatial Intelligence Analyst information

What does a senior geospatial intelligence analyst do?

A Senior Geospatial Intelligence Analyst is responsible for collecting, analyzing, and interpreting geospatial data to support decision-making in areas such as national security, defense, and disaster response. They use advanced technologies like geographic information systems (GIS), satellite imagery, and remote sensing tools to identify patterns, changes, and potential threats. In addition to technical analysis, they often prepare reports, present findings to stakeholders, and mentor junior analysts. Their work helps organizations understand geographic relationships and make informed strategic decisions.

What are the key skills and qualifications needed to thrive as a senior geospatial intelligence analyst?

To thrive as a Senior Geospatial Intelligence Analyst, you need advanced skills in geospatial analysis, remote sensing, cartography, and a relevant degree in geography, GIS, or intelligence studies. Expertise in GIS software (such as ArcGIS), remote sensing tools, and familiarity with intelligence databases or security clearance are typically required. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and conveying insights to decision-makers. These competencies ensure accurate, timely intelligence products that support critical missions and policy decisions.

How does a senior geospatial intelligence analyst typically collaborate with multidisciplinary teams to deliver actionable insights?

Senior Geospatial Intelligence Analysts frequently work alongside data scientists, imagery analysts, and subject matter experts from various fields to interpret complex geospatial data. Collaboration often involves participating in joint analysis sessions, sharing findings through briefings or reports, and integrating multiple data sources to create comprehensive intelligence products. Effective communication and teamwork are essential, as the analyst must translate technical geospatial information into actionable recommendations for decision-makers and stakeholders. This collaborative environment fosters innovation and ensures that intelligence products address operational needs.

What is the difference between Senior Geospatial Intelligence Analyst vs Geospatial Intelligence Analyst?

AspectSenior Geospatial Intelligence AnalystGeospatial Intelligence Analyst
Required CredentialsBachelor's degree, experience, possibly security clearanceBachelor's degree, entry-level to mid-level experience
Work EnvironmentMilitary, government agencies, defense contractorsGovernment agencies, private sector, consulting firms
Employer & Industry UsagePrimarily defense, intelligence, national securityDefense, intelligence, commercial mapping, and analysis

The main difference is that Senior Geospatial Intelligence Analysts have more experience, responsibilities, and often hold security clearances, focusing on complex analysis and leadership. Geospatial Intelligence Analysts are typically entry to mid-level roles performing foundational geospatial analysis. Both roles are vital in defense and intelligence sectors, but the senior position involves higher-level decision-making and project management.

What are the most commonly searched types of Geospatial Intelligence Analyst jobs in California?

The most popular types of Geospatial Intelligence Analyst jobs in California are:

What are popular job titles related to Senior Geospatial Intelligence Analyst jobs in California?

For Senior Geospatial Intelligence Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Geospatial Intelligence Analyst jobs in California look for?

The top searched job categories for Senior Geospatial Intelligence Analyst jobs in California are:

What cities in California are hiring for Senior Geospatial Intelligence Analyst jobs?

Cities in California with the most Senior Geospatial Intelligence Analyst job openings:

Senior Geospatial Intelligence Analyst jobs near you

Senior Business Intelligence Analyst, Growth

San Diego, CA • Hybrid

Waymo
Internet and IT • 1 - 5K employees
Learn more about Waymoexternal

Full-time

Re-posted 26 days ago

Job description

Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

This role follows a hybrid work schedule and you will report to the Business Intelligence Analyst, Lead.

You will:

  • Define and own the canonical metrics for Waymo's growth function -  activation, promo redemption, and loyalty - partnering with data engineering to ensure reliable instrumentation and a single source of truth across all stakeholders
  • Build and maintain full-funnel performance tracking that give growth leadership real-time visibility from paid media impression through first trip, repeat usage, and retention
  • Own paid media tracking infrastructure -  taxonomy, channel tagging standards, and end-to-end funnel stitching from campaign to trip - and deliver channel-level performance reporting that drives marketing budget and targeting decisions.
  • Support the bottom-of-funnel cross functional teams with clean, consistently defined promo performance data.
  • Serve as the connective tissue between data engineering, data science, marketing, and product - translating business questions into data requirements and proactively surfacing instrumentation gaps before they become decision errors.
  • Deep dive into business performance.

You have:

  • 5+ years of experience in a related technical field (or equivalent practical experience), with a proven track record of managing stakeholder relationships and prioritizing multiple projects
  • Experience in scripting for automation (e.g. Python) and advanced SQL skills.
  • Proven experience with data quality principles (accuracy, completeness, consistency) and implementing data validation processes.
  • Strong communication and stakeholder & management skills, with the ability to convey key insights from complex analysis in summarized business terms, while also being able to effectively communicate with technical teams. 
  • Experience working with the product management and engineering teams.
  • Experience with data modeling, warehousing and building ETL pipelines.

We prefer:

  • Experience in the Autonomous Vehicle industry or a strong background in engineering.
  • Experience with geospatial data.

Apply