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Data Analyst Data Scientist Jobs in Santa Rosa, CA

Lever Demo 2

Data Analyst - Evergreen

Bodega Bay, CA

... reviewing applications, analyzing resumes, or assessing responses and identifying potential ... If you would like more information about how your data is processed, please contact us. apply for ...

Fabrion

Data Partnerships Analyst

Bodega Bay, CA · On-site

Data Partnerships Analyst Location: San Francisco Bay Area Type: Full-Time Compensation: Competitive salary + early-stage equity Backed by 8VC, we're building a world-class team to tackle one of the ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... science or closely related field and a minimum of five years of Azure migration experience.

Redwood Credit Union

Cloud Data Engineer

Santa Rosa, CA · On-site

$115K - $151K/yr

This role requires a combination of technical skills, analytical problem-solving, and collaboration ... science or closely related field and a minimum of five years of Azure migration experience.

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All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in Santa Rosa, CA

Data Analyst Data Scientist information

See Santa Rosa, CA salary details

$50.3K

$180.4K

$266.2K

How much do data analyst data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data analyst data scientist in Santa Rosa, CA is $180,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $146,000.00 and $185,900.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What cities near Santa Rosa, CA are hiring for Data Analyst Data Scientist jobs? Cities near Santa Rosa, CA with the most Data Analyst Data Scientist job openings:
Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in Santa Rosa, CA 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 $180,419 per year, or $86.7 per hour.

Data Analyst - Evergreen

Lever Demo 2

Bodega Bay, CA

Contractor

Re-posted 11 days ago

Job description

Welcome to the Demo Job Listing for Lever! This is a fictional job created solely for demonstration purposes and is not an actual open position. We've crafted this listing to showcase the functionality of our ATS platform, including job descriptions, application processes, and more.

While you can explore the application process and features here, please note that applications submitted to this job will not be reviewed or responded to as it's for demonstration only.
Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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