1

Climate Data Analyst Jobs in California (NOW HIRING)

Principal Researcher

Santa Clara, CA · On-site

$174 - $249/hr

Develop methods for scaling planetary-level analysis, including land-use monitoring, disaster response dynamics, climate risk modeling, and global supply chain tracking. * Multi-Modal Data Fusion:

New

Consultant, Climate Risk

Novato, CA · On-site +1

$69K - $100K/yr

Your new role Ramboll is seeking a Climate Risk Analyst to join the firm. If you are technically ... Conducting research, client interviews, and data analytics to assess opportunities to achieve ...

Consultant, Climate Risk

Oakland, CA · On-site +1

$69K - $100K/yr

Your new role Ramboll is seeking a Climate Risk Analyst to join the firm. If you are technically ... Conducting research, client interviews, and data analytics to assess opportunities to achieve ...

Consultant, Climate Risk

Novato, CA · On-site

$69 - $100/hr

Your new role Ramboll is seeking a Climate Risk Analyst to join the firm. If you are technically ... Conducting research, client interviews, and data analytics to assess opportunities to achieve ...

Consultant, Climate Risk

Oakland, CA · On-site

$69 - $100/hr

Your new role Ramboll is seeking a Climate Risk Analyst to join the firm. If you can work ... Conducting research, client interviews, and data analytics to assess opportunities to achieve ...

... analytics, and artificial intelligence (AI/ML). You will architect scalable, multi-modal data synthesis frameworks that translate vast streams of satellite, aerial, in-situ, and climate data into ...

Showing results 21-40

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.

Data Center Location Strategy Analyst

Meta

Menlo Park, CA • On-site

$154K/yr

Full-time

Posted 7 days ago


Key responsibilities

  • Develop and maintain location strategy frameworks and analyses to evaluate potential data center sites.

  • Translate capacity demand forecasts into geographic supply requirements and identify regional gaps.

  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives and support capital decisions.


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

Meta's Global Strategy & Development team is seeking a Data Center Location Strategy Analyst to support the long-term capacity planning and site selection strategy that underpins Meta's global data center portfolio. In this role, you will develop scenario analyses and optionality models to evaluate optimal locations for new data center capacities, directly informing multi-billion dollar capital investment decisions. You will partner with teams across site development, energy, network, finance, and construction to develop location frameworks that balance capacity demand forecasts with supply-side constraints, ensuring Meta's infrastructure footprint scales reliably to support capacity enablement for billions of users worldwide.
Data Center Location Strategy Analyst Responsibilities:
  • Develop and maintain location strategy frameworks and analyses that evaluate potential data center sites across dimensions including power availability, land cost, network connectivity, permitting risk, climate exposure, and labor market depth
  • Translate long-range capacity demand forecasts into geographic supply requirements, identifying regional gaps and prioritizing site development pipelines to close projected shortfalls
  • Build quantitative models, scenario analyses, and optionality strategies to compare location alternatives across cost, risk, schedule, and strategic fit dimensions, supporting executive-level capital allocation decisions
  • Synthesize market intelligence on power grid infrastructure, utility interconnection timelines, renewable energy availability, and regulatory environments across target geographies
  • Collaborate with real estate, energy, network, and cross-functional teams to assess site-specific feasibility constraints and incorporate findings into portfolio-level location recommendations
  • Develop and maintain dashboards and reporting tools that track the health of the site development pipeline, including capacity milestones, risk flags, and decision gate status
  • Conduct portfolio health reviews and partner with finance and capacity planning teams to align location strategy outputs with financial models, total cost of ownership analyses, and long-range infrastructure investment plans
  • Identify emerging markets and geographies that meet Meta's data center siting criteria, conducting proactive market assessments to expand the portfolio of viable future locations
  • Communicate location strategy recommendations and supporting analyses to cross-functional stakeholders and leadership through structured written deliverables and presentations

Minimum Qualifications:
  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree or equivalent practical experience
  • 6+ years of experience in data center site selection, infrastructure capacity planning, real estate strategy, energy market analysis, or a closely related field
  • Experience building quantitative models to evaluate and compare infrastructure investment alternatives, including scenario analysis and sensitivity modeling
  • Experience synthesizing complex, multi-variable datasets spanning geographic, energy, regulatory, and financial dimensions to produce actionable strategic recommendations
  • Experience collaborating cross-functionally with real estate, energy, finance, or network teams to drive alignment on infrastructure planning decisions
  • Ability to source and utilize data, including data visualization, to communicate analytical findings and strategic recommendations to technical and non-technical stakeholders

Preferred Qualifications:
  • Data center industry experience with a focus on capacity delivery and scaling
  • Experience integrating AI or automation tools into planning or analytical workflows to improve modeling efficiency, scenario coverage, or reporting accuracy
  • Experience applying geospatial analysis tools or GIS platforms to infrastructure siting and market assessment workflows
  • Familiarity with hyperscale data center design typologies, construction timelines, and the key site characteristics that drive development feasibility and cost
  • Experience with power systems, utility interconnection processes, or renewable energy procurement as applied to large-scale data center or industrial facility development
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Location strategy and modeling experience across multiple geographies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $200,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom