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Environmental Data Analyst Jobs in Santa Rosa, CA

Frederick Fox

Head of Data Management

Santa Rosa, CA · On-site

You will hire and develop a small, senior group of data, analytics and software engineers capable ... Experience in fintech or another regulated, high-stakes data environment such as healthcare, ...

InnoActive Group

Project Controls Analyst

Santa Rosa, CA · On-site

... environments and enjoys turning data into actionable insights that drive project success. As a key ... Develop, maintain, and analyze detailed project schedules using Primavera P6. * Monitor critical ...

InnoActive Group

Project Controls Analyst

Sonoma, CA · On-site

... environments and enjoys turning data into actionable insights that drive project success. As a key ... Develop, maintain, and analyze detailed project schedules using Primavera P6. * Monitor critical ...

Stantec

Environmental Inspector

Petaluma, CA · On-site

... data management, analyze field and technical data, and report preparation) on various projects ... Experience in environmental sampling, construction stormwater and environmental compliance ...

Stantec

Environmental Inspector

Petaluma, CA · On-site

$57K - $81K/yr

... data management, analyze field and technical data, and report preparation) on environmental ... management projects; * Conduct multi-media sampling (soil, sediment, groundwater, surface water ...

Stantec

Environmental Inspector

Petaluma, CA · On-site

$57K - $81K/yr

... data management, analyze field and technical data, and report preparation) on environmental ... management projects; * Conduct multi-media sampling (soil, sediment, groundwater, surface water ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

Key Responsibilities o Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. o Collaborate with technical analysts, business ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

Key Responsibilities o Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. o Collaborate with technical analysts, business ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA

$115K - $151K/yr

Key Responsibilities o Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. o Collaborate with technical analysts, business ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA

$115K - $151K/yr

Key Responsibilities o Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. o Collaborate with technical analysts, business ...

Kavaliro

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. * Collaborate with technical analysts, business analysts, and line of ...

BIOMARIN PHARMACEUTICAL

Sr. Data Scientist 1

Novato, CA · On-site

Through data integration, analytics, and digital transformation initiatives, TOPS enhances process ... Work Environment Hybrid - would require 2-3 days onsite in Novato, CA Note: This description is not ...

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

Key Responsibilities o Design and implement scalable and secure data processing pipelines and storage environments using cloud services and tools. o Collaborate with technical analysts, business ...

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Showing results 21-40

All JobsEnvironmental Data Analyst JobsEnvironmental Data Analyst Jobs in Santa Rosa, CA

Environmental Data Analyst information

See Santa Rosa, CA salary details

$37.2K

$90.4K

$148.7K

How much do environmental data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for environmental data analyst in Santa Rosa, CA is $90,353.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $106,100.00 per year, depending on experience, location, and employer.

What does an environmental data analyst do?

An Environmental Data Analyst collects, processes, and interprets environmental data to assess trends, monitor ecosystems, and support sustainability initiatives. They work with large datasets from sources like air quality monitors, water testing stations, and climate sensors. Using statistical and analytical tools, they identify patterns, create reports, and provide insights to help organizations make informed environmental decisions. Their work is essential in regulatory compliance, conservation efforts, and climate change research.

What are the key skills and qualifications needed to thrive as an environmental data analyst?

To thrive as an Environmental Data Analyst, you need a strong background in environmental science, statistics, and data analysis, often supported by a relevant bachelor's or master's degree. Familiarity with data analysis tools such as R, Python, GIS software, and database management systems, as well as certifications like Certified Environmental Data Scientist (CEDS), are highly beneficial. Attention to detail, problem-solving abilities, and effective communication skills help individuals excel in interpreting data and presenting findings to stakeholders. These competencies are crucial for ensuring accurate environmental assessments and supporting data-driven decision-making within organizations and regulatory frameworks.

What are the main challenges environmental data analysts face in their daily work?

One of the main challenges Environmental Data Analysts encounter is managing and interpreting large, complex datasets from diverse sources such as sensors, surveys, and monitoring equipment. Ensuring data accuracy, dealing with incomplete or inconsistent information, and keeping up with evolving environmental regulations can be demanding. Collaborating with multidisciplinary teams—such as engineers, project managers, and regulators—also requires strong communication skills to turn raw data into actionable insights. However, these challenges make the work dynamic and provide opportunities for continuous learning and professional growth.

What are the most commonly searched types of Environmental Data Analyst jobs in Santa Rosa, CA?

The most popular types of Environmental Data Analyst jobs in Santa Rosa, CA are:

What are popular job titles related to Environmental Data Analyst jobs in Santa Rosa, CA?

For Environmental Data Analyst jobs in Santa Rosa, CA, the most frequently searched job titles are:

What job categories do people searching Environmental Data Analyst jobs in Santa Rosa, CA look for?

The top searched job categories for Environmental Data Analyst jobs in Santa Rosa, CA are:

What cities near Santa Rosa, CA are hiring for Environmental Data Analyst jobs?

Cities near Santa Rosa, CA with the most Environmental Data Analyst job openings:

Environmental Data Analyst jobs near you
Infographic showing various Environmental Data Analyst job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $90,353 per year, or $43.4 per hour.

Head of Data Management

Frederick Fox

Santa Rosa, CA • On-site

Other

Posted 10 days ago

Job description

Head of Data Strategy & Operational Intelligence


This is a true 0-to-1 mandate at a fast-scaling, profitable SaaS fintech. You will build the operating data foundation that determines how the company defines, measures and trusts performance.

Many critical metrics today depend on manual, human-owned processes and competing definitions. You will establish canonical KPIs, decision rights, governance and an operating rhythm that create one trusted source for leaders across the company, from operating teams through the CEO.


Two things make this role unusual.


First, this is as much an operating-transformation role as it is a data-leadership role. The challenge is not only building pipelines. It is aligning finance, sales, product and operations on what “customer,” “revenue” and other core measures mean, then establishing governance that holds when stakeholders disagree.


Second, the mandate starts with a team at zero. You will hire and develop a small, senior group of data, analytics and software engineers capable of delivering company-wide impact without building a large organization.


What you will own:


• Map the company’s current KPIs, definitions, sources, owners and manual processes.

• Set the company-wide data and operational-intelligence strategy, including a multi-quarter roadmap across several business domains.

• Establish canonical metric definitions, clear decision rights and governance that prevents competing versions of the truth.

• Reconcile systems that describe customers and revenue differently, including transactional or product data, CRM and billing.

• Evaluate the existing data foundation, identify what is missing and make thoughtful build-versus-buy decisions involving governance, semantic layers, modern analytics products and AI-enabled tools.

• Drive adoption across business and engineering teams, including when priorities compete or stakeholders disagree.

• Design the organization, determine the hiring sequence and recruit and develop the team from the ground up.


You may be a strong fit if:


• You have led a company-wide data transformation in a post-product-market-fit business, taking it from strategy through implementation and durable adoption.

• You have owned what a metric means, not only how it is calculated or displayed. You have arbitrated competing definitions and created governance that made one trusted definition stick.

• You have built a multi-quarter roadmap across several business domains and can explain what you prioritized, what you deferred and why.

• You have deeply reconciled at least one or two of the following: product or transactional data, CRM and billing. Depth in two matters more than light exposure to all three.

• You have influenced C-suite decisions and carried a company-level program through competing priorities or executive resistance.

• You have personally designed, hired and developed a technical data organization. You can describe your first hires, the bar you set and people who grew under your leadership.

• You can move from an executive conversation about company strategy into the mechanisms behind data architecture, metric governance and tool selection.

• You have practical, recent experience evaluating or adopting modern analytics and AI-enabled tools. You have a grounded point of view on where they create value, where they do not and how their quality should be measured.

• You are motivated by company-wide impact and ownership rather than by the number of people reporting to you.


Experience in fintech or another regulated, high-stakes data environment such as healthcare, insurance or financial services is strongly preferred.


This role is likely not the right fit if:


• Your experience is primarily building data platforms or infrastructure without owning the business operating model built on top of them.

• You think of yourself primarily as a BI, reporting or dashboarding leader. A separate team owns those capabilities.

• Your leadership experience is still predominantly individual-contributor work.




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