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

Senior Product Manager

Bodega Bay, CA · On-site

$150K - $198K/yr

Analytics - use analytics to guide the direction and build a rapid, test and learn process that ... The candidate should be very data and metrics-driven. * Leadership - 6+ years of Product Management ...

Senior Brand Manager

Novato, CA · On-site

$140K - $160K/yr

The Senior Brand Manager is also responsible for all digital media in the US & Canada for this ... trend analysis and quantitative data to produce actionable insights, financial and P&L ...

Mechanical Engineer, Sr.

Petaluma, CA · On-site

$122K - $187K/yr

Worker Type Regular Summary The Sr. Mechanical Engineer applies engineering techniques to design ... Works on complex issues where analysis of situations or data requires an in-depth knowledge of ...

Mechanical Engineer, Sr.

Petaluma, CA · On-site

$122K - $187K/yr

Worker Type Regular Summary The Sr. Mechanical Engineer applies engineering techniques to design ... Works on complex issues where analysis of situations or data requires an in-depth knowledge of ...

Showing results 41-60

Senior Data Analyst information

See Santa Rosa, CA salary details

$60.1K

$108.5K

$148.1K

How much do senior data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data analyst in Santa Rosa, CA is $108,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,600.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

What are the key skills and qualifications needed to thrive as a senior data analyst, and why are they important?

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior Data Analyst jobs

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

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

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

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

Infographic showing various Senior Data Analyst job openings in Santa Rosa, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $108,492 per year, or $52.2 per hour.

Sr Research Associate 2, In Vivo for Biology Research

Greenfield Source

Petaluma, CA

$97K - $146K/yr

Full-time

Re-posted 10 days ago


Job description

Who We Are

From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases.

We are seeking a motivated Senior Research Associate 2 to join the Musculoskeletal Therapeutic Area at the company. The successful candidate will have a hands-on role in the development, characterization, and implementation of genetic models of muscular and skeletal disease and play a key part in driving our portfolio forward. The role includes in vivo experimentation (invention of novel models and methodology along with handling, dosing, collecting), data acquisition, data analysis and communication of experimental findings to internal teams. The ideal candidate will have a demonstrated track record on in vivo models of muscular and/or skeletal disease and will support the development and execution of in vivo PK/PD/efficacy studies from research to early development and IND submission. The candidate will be required to work seamlessly within a matrixed environment that includes various biology functions, and across different research projects. This position is ideal for an organized and independent individual who wants to play an active role in musculoskeletal disease research and therapeutics’ development.

Responsibilities:

Organize and maintain mouse colonies - schedule should be flexible based on animal care needs (occasional weekend and holiday work will be required/split across team members)

Assist in the design of in vivo model systems/proof of concept studies that promote the translatability between animal models and human disease.

Perform in vivo lab experiments including but not limited to dosing (ip, iv, sc, po), PK/PD studies, husbandry, sample/tissue collections.

Recognize and adhere to IACUC standards of in vivo research.

Review and contribute to study synopses, protocols, study reports and regulatory documents.

Perform data recording and statistical analysis; Document all experimental procedures and data in electronic notebook.

Engage with project teams in a collaborative manner, and over time present results, analyses, conclusions, and implications to the team.

Share responsibility over lab maintenance duties.

Requirements:

SRA2: bachelor’s degree with at least 8 years of relevant experience or master’s degree with at least 6 years of relevant experience, musculoskeletal research background is highly desired.

Demonstrated ability in rodent handling (mouse, rat) and experience with PK/PD studies and different routes of administration: IP, IV, SC, PO

In vivo surgical experience is strongly preferred, experience with in vivo imaging is a plus.

Experience in managing contract research organizations is desirable.

Ability to work independently as well as collaboratively in a dynamic environment.

Strong organizational skills, attention to detail, desire to learn new techniques.

Excellent oral and written English communication skills.

PLEASE NOTE: Absent a Medical or Religious reason that prohibits vaccinations, all our incoming employees must be vaccinated for COVID-19.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.