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Senior Data Analyst Jobs in Rohnert Park, CA (NOW HIRING)

Senior Data Analyst

Sonoma, CA · On-site

$96K - $121K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

New

Senior Data Analyst

Santa Rosa, CA · On-site

$94K - $118K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

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 ... This role gives you direct exposure to startup founders, investors, and senior executives at ...

Senior Conflicts Analyst

Saint Helena, CA · On-site +1

$100K - $120K/yr

... data projects and suggest system improvements to enhance workflow and efficiency. * Serve as a ... If you're a Senior Conflicts Analyst looking for an opportunity to take your expertise to a top ...

Senior Financial Analyst

Novato, CA · On-site

$100K - $125K/yr

What We Need The Senior Financial Analyst will directly support our Games Studios, driving ... Distill complex data into concise "so-what" summaries for the executive team * Process Optimization:

What We Need The Senior Financial Analyst will directly support our Games Studios, driving ... Distill complex data into concise "so-what" summaries for the executive team * Process Optimization:

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Senior Data Analyst information

See Rohnert Park, CA salary details

$60.9K

$109.9K

$150.1K

How much do senior data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior data analyst in Rohnert Park, CA is $109,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $120,200.00 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 Rohnert Park, CA? The most popular types of Data Analyst jobs in Rohnert Park, CA are:
What job categories do people searching Senior Data Analyst jobs in Rohnert Park, CA look for? The top searched job categories for Senior Data Analyst jobs in Rohnert Park, CA are:
What cities near Rohnert Park, CA are hiring for Senior Data Analyst jobs? Cities near Rohnert Park, CA with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,920 per year, or $52.8 per hour.

Senior Data Analyst

ACCsurance

Sonoma, CA • On-site

$96K - $121K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Our Client


Our Client, a rocket ship start up is in Series D with over $200 million in funding and has over 250 full time employees is remaking the health insurance claims process with a transformative RCM (Revenue Cycle Management) automation platform custom-built for medical providers to end unnecessary human intervention. The company sits between provider groups and insurance companies to facilitate clean payments for everyday insurance claims — addressing a $280 billion per year industry that is fundamentally broken.


Founded in 2019, Our Client started within the digital health space and has built a significant footprint supporting digital health providers on their insurance payments, serving as the back-end billing engine for them. The company has since expanded into the traditional healthcare market, with its primary growth story now oriented around enterprise ambulatory providers.


THIS POSITION CAN BE LOCATED IN SAN FRANCISCO, DENVER OR NEW YORK CITY


The Role


Our Client is searching for a Data Analyst to help them enhance efficiency, product scalability and operational decision making. You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers.


What You’ll Do

  • Perform Critical Data Analysis for a Broad Range of Stakeholders: Build analytics, and visualizations for varying use cases. Play an influential role in delivering the insights that Our Client uses to inform our business strategies
  • Enable Self Serve Solutions to Internal Teams: Deliver internal products that make our teams more more efficient and self reliant through improved tooling and operational workflows
  • Build High Value Data Products: Data Analysis is in the critical path of value for their Customers. Build robust, scalable data models for their clients.
  • Own BI Platform Implementation: Maintain reporting and visualization platforms to keep data accurate, accessible, and available


Who You Are

  • You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
  • You have 4+ years of experience working with data at scale, performing analysis, ETL, and process automation
  • You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
  • You have a strong understanding of SQL and have used it in complex data environments
  • You have a deep understanding of how different users leverage data and are able to build the right insights and tools for them
  • You thrive in ambiguity and enjoy tackling complex tasks that have significant impact on the business at large
  • You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.
  • Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT and ability to demonstrate expertise, as well as modeling skills.

Tech stack

  • SQL, BigQuery, Google Cloud Platform, Metabase, Python, DBT, Terraform, Snowflake