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Data Analyst Jobs in Santa Rosa, CA (NOW HIRING)

Data Analyst

Sonoma, CA · On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

Data Analyst

Santa Rosa, CA · On-site

$65K - $70K/yr

Data Analyst - Insurance Company: Aaratech Inc. Experience: 2-3 years Compensation: $65,000 - $70,000 per year Work Authorization At this time, we are only able to consider candidates who are ...

New

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

What We Need We're looking for a passionate Staff Data Analyst to support the Sports* Game Science & Insights team, to explore, analyze, report, and action on data from our portfolio of titles (WWE ...

Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION: Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long history of ...

... 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 ...

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 ...

Data Analyst information

See Santa Rosa, CA salary details

$37.2K

$90.4K

$148.7K

How much do data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for 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 is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Santa Rosa, CA? The most popular types of Data Analyst jobs in Santa Rosa, CA are:
What are popular job titles related to Data Analyst jobs in Santa Rosa, CA? For Data Analyst jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Santa Rosa, CA look for? The top searched job categories for Data Analyst jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Data Analyst jobs? Cities near Santa Rosa, CA with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $90,353 per year, or $43.4 per hour.

Data Analyst

AARATECH

Sonoma, CA • On-site

$65K - $70K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Data Analyst – Insurance

Company: Aaratech Inc.

Experience: 2–3 years

Compensation: $65,000 – $70,000 per year

Work Authorization

At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship.

Job Summary

Aaratech Inc. is seeking a Data Analyst – Insurance to support business operations through data-driven insights. In this role, you will analyze insurance data, identify trends, and develop reports that support underwriting, claims, risk management, and business decision-making.

Key Responsibilities

  • Collect, clean, and analyze insurance-related datasets from multiple sources.
  • Develop dashboards and reports to monitor claims, policies, and business performance.
  • Identify trends and provide insights to improve operational efficiency and risk management.
  • Collaborate with business, finance, underwriting, and IT teams to support data-driven decisions.
  • Ensure data accuracy, consistency, and reporting quality.
  • Present analytical findings and recommendations to stakeholders.

Qualifications

  • Bachelor's degree in Data Science, Information Technology, Computer Science, Business Analytics, or a related field.
  • 2–3 years of experience as a Data Analyst, preferably in the insurance or financial services industry.
  • Strong experience with SQL, Microsoft Excel, and data visualization tools.
  • Experience working with insurance, claims, or policy-related data is preferred.
  • Strong analytical, communication, and problem-solving skills.

Preferred Skills

  • Experience with Power BI, Tableau, or similar Business Intelligence tools.
  • Knowledge of insurance analytics, claims reporting, and risk analysis.
  • Basic knowledge of Python or R for data analysis.
  • Experience working with SQL databases and reporting tools.
  • Any certifications such as Microsoft Power BI Data Analyst Associate, Tableau Desktop Specialist, or Google Data Analytics Professional Certificate are a plus.

About Aaratech Inc.

Aaratech Inc. is a technology-driven organization focused on delivering innovative solutions across cybersecurity, healthcare, and enterprise domains. We are committed to helping organizations leverage data to improve business performance, optimize operations, and support informed decision-making.