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Climate Data Analyst Jobs in California (NOW HIRING)

Through data analytics and non-complex modeling or analytical tools, track the Bank's performance ... needed, e.g., climate risk, country risk, specific operational risks, etc. Draw from the ...

General Information

Los Angeles, CA · On-site

$54 - $74/hr

... climatology, forecasting techniques, and weather model analysis * Excellent written and verbal communication skills, with the ability to translate technical data into actionable insights. * Ability ...

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Los Angeles, CA · On-site

$58 - $88/hr

In this role, you will apply advanced data science, modeling, and machine learning techniques to analyze climate and weather data, helping the utility better understand and prepare for climate and ...

Showing results 41-60

Climate Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do climate data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for climate 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.

What is a climate data analyst?

A Climate Data Analyst collects, processes, and interprets climate-related data to identify trends, assess risks, and support decision-making. They work with large datasets from sources like weather stations, satellites, and climate models to analyze temperature patterns, precipitation changes, and other environmental factors. Their findings help governments, businesses, and researchers develop strategies for climate adaptation and sustainability. Skills in data analysis, statistical modeling, and programming (e.g., Python, R) are essential for this role.

What are the typical daily responsibilities of a climate data analyst?

A Climate Data Analyst typically spends their days collecting, managing, and analyzing large datasets related to weather patterns, greenhouse gas emissions, or environmental conditions. You may use specialized software to interpret trends, create visualizations, and develop predictive models to inform environmental strategies. Collaboration is often required with scientists, policymakers, and fellow data professionals to ensure data-driven insights are integrated into climate initiatives. This role also involves preparing reports and presenting findings to both technical and non-technical audiences, making communication skills highly valuable.

What are the key skills and qualifications needed to thrive in the climate data analyst position, and why are they important?

To thrive as a Climate Data Analyst, you need a solid grasp of statistics, environmental science, and data analysis, usually supported by a degree in environmental science, statistics, or a related field. Familiarity with data analysis tools like Python, R, GIS software, and experience with climate modeling systems is typically expected. Strong communication, problem-solving abilities, and attention to detail help set exceptional candidates apart. These competencies ensure you can accurately interpret climate data, communicate findings effectively, and contribute to impactful environmental decision-making.

What are the most commonly searched types of Climate Data Analyst jobs in California?

The most popular types of Climate Data Analyst jobs in California are:

What are popular job titles related to Climate Data Analyst jobs in California?

For Climate Data Analyst jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Climate Data Analyst jobs?

Cities in California with the most Climate Data Analyst job openings:

Infographic showing various Climate Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Senior Fleet Intelligence Analyst

Gridware

San Francisco, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision

Re-posted yesterday


Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Overview

The Senior Fleet Intelligence Analyst owns the front line of fleet issue detection, prioritization, and incident learning at the device health layer - sitting at the interface of Gridware's hardware programs, including Gridscope and our connectivity solutions. As the deployed fleet scales, telemetry volume grows faster than any team can manually inspect, and not all signals matter equally. This role separates signal from noise, ensures the right issues reach the right teams before they become incidents, and leads the postmortem process to make sure the same class of issue doesn't go undetected twice.  

You'll design and operate a tiered triage pipeline, tune the detection logic that surfaces emerging device health issues, and facilitate postmortems end-to-end - from incident timeline reconstruction through action item closure. This is a highly cross-functional role that blends data analysis, operational rigor, and structured incident learning across hardware, firmware, and connectivity domains. 

Responsibilities
  • Own and operate Gridware's fleet triage pipeline for device health issues, intaking signals from telemetry, monitoring, field reports, and customer feedback, and routing them through a tiered prioritization framework.
  • Define and continuously tune detection logic, thresholds, and alerting rules that distinguish signal from noise across device health, connectivity, configuration, and environmental data.
  • Maintain a tiered triage approach (P0-P3) with clear entry criteria, SLAs, ownership, and escalation paths across hardware, firmware, and connectivity stakeholders.
  • Build dashboards and queries that surface emerging trends - shifts in last-seen, connectivity degradation, configuration drift, anomalous failure clusters - before they reach incident severity.
  • Investigate ambiguous fleet signals to determine scope, impact, and likely owner across the Gridscope and connectivity hardware programs; produce structured triage write-ups that enable fast cross-functional action.
  • Lead postmortems end-to-end: facilitate blameless reviews, reconstruct incident timelines, drive root cause analysis, and own action items through to closure.
  • Track triage and incident metrics (time-to-detect, time-to-acknowledge, false positive rate, repeat-issue rate) and use them to iterate on the pipeline.
  • Document triage playbooks, runbooks, and decision trees so the process scales beyond any one person.
Required Skills
  • Bachelor's degree in Computer Science, Data Science, Engineering, Statistics, or related field.
  • 5+ years in a data-focused or operations-focused role (Data Analyst, Operations Analyst, Site Reliability Analyst, or similar) where triage, prioritization, or incident response was a core responsibility.
  • Proficiency in SQL and Python for querying telemetry data and automating triage workflows.
  • Demonstrated experience designing prioritization frameworks, alerting logic, or triage pipelines in high-signal environments.
  • Strong analytical judgment for distinguishing meaningful signal from noise in noisy, real-world data.
  • Excellent written communication, with a track record of producing concise, structured issue summaries and postmortem documents.
  • Comfort facilitating cross-functional discussions, including blameless postmortems with engineering, firmware, and operations stakeholders.
Bonus Skills
  • Experience leading postmortems or incident reviews for IoT fleets, distributed systems, or large-scale hardware deployments.
  • Familiarity with Databricks, PySpark, Pandas, and observability tools (Looker, Grafana, Datadog).
  • Exposure to time-series telemetry, anomaly detection, and SLO/SLA design.
  • Experience with power-constrained, solar-powered, or communication-constrained connected devices.
  • A passion for sustainability, clean tech, or the energy industry.
$130,000 - $150,000 a year
This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
"Off the Grid", a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training 
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