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Data Jobs in Rohnert Park, CA (NOW HIRING)

Frederick Fox

Head of Data Management

Sonoma, CA · On-site

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 ...

Frederick Fox

Head of Data Management

Santa Rosa, CA · On-site

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 ...

Apple

Data Center Network Architect

Bodega Bay, CA

$184K - $324K/yr

Apple's Data Center Networking team is responsible for all aspect of the Network Infrastructure, from Operations to Architecture, thats deployed globally across Apple's Data Centers and Edge ...

Apple

Data Center Network Architect

Bodega Bay, CA

$184K - $324K/yr

Apple's Data Center Networking team is responsible for all aspect of the Network Infrastructure, from Operations to Architecture, thats deployed globally across Apple's Data Centers and Edge ...

Block

Staff Data Scientist, Pricing

Bodega Bay, CA

The Role The Data Science team at Block turns insights from our unique datasets into actions that improve the customer experience every day. In this role, we're looking for a Data Scientist to own ...

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All JobsData JobsData Jobs in Rohnert Park, CA

Data information

See Rohnert Park, CA salary details

$51K

$182.8K

$269.7K

How much do data jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data in Rohnert Park, CA is $182,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,900.00 and $188,300.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Rohnert Park, CA?

The most popular types of Data jobs in Rohnert Park, CA are:

What job categories do people searching Data jobs in Rohnert Park, CA look for?

The top searched job categories for Data jobs in Rohnert Park, CA are:

What cities near Rohnert Park, CA are hiring for Data jobs?

Cities near Rohnert Park, CA with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Rohnert Park, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $182,794 per year, or $87.9 per hour.

Operations Data Analyst (Office Based)

Heartflow

Rohnert Park, CA • On-site

$108K - $141K/yr

Full-time

Re-posted 7 days ago

HeartFlow rating

7.8

Company rating: 7.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

139th of 246 rated software companies

Job description

Heartflow is a medical technology company advancing the diagnosis and management of coronary artery disease, the #1 cause of death worldwide, using cutting-edge technology. The flagship product-an AI-driven, non-invasive cardiac test supported by the ACC/AHA Chest Pain Guidelines called the Heartflow FFRCT Analysis-provides a color-coded, 3D model of a patient's coronary arteries indicating the impact blockages have on blood flow to the heart. Heartflow is the first AI-driven non-invasive integrated heart care solution across the CCTA pathway that helps clinicians identify stenoses in the coronary arteries (RoadMap™Analysis), assess coronary blood flow (FFRCT Analysis), and characterize and quantify coronary atherosclerosis (Plaque Analysis). Our pipeline of products is growing and so is our team; join us in helping to revolutionize precision heartcare.
Heartflow is a publicly traded company (HTFL) that has received international recognition for exceptional strides in healthcare innovation, is supported by medical societies around the world, cleared for use in the US, UK, Europe, Japan and Canada, and has been used for more than 500,000 patients worldwide.
Position Overview
The Operations Data Analyst will be responsible for meeting the data reporting needs of the Operations team to enable continuous improvement in quality, automation, and efficiency. This role uses data to provide actionable insights into operational performance. The complexity of assigned projects, autonomy, and strategic scope will be calibrated to match the selected candidate's depth of experience.
Key Responsibilities
Data Visualization & Storytelling
  • Determine appropriate methods to analyze operations, relevant information, and data sets.
  • Create operations-focused data views and interactive dashboards using Tableau, Excel, Google Sheets, and various visualization applications.
  • Design, build, and present dynamic dashboards that tell a compelling, data-driven story, translating complex operational metrics into clear, high-impact narratives.
  • Present analytical findings and insights executively, professionally, and accurately to leadership and cross-functional stakeholders.
  • Build out analytics ranging from core performance trackers to complex visualizations involving advanced nested calculations and multi-source relational database combinations.
  • Validate, maintain, and audit operations dashboards to ensure complete data integrity.
Cross-Functional & Systems Integration
  • Integrate data from ADP, Smarteeva, and other internal sources to drive business decision-making, handling manual data correction or inputs as needed.
  • Partner with the Technology team to conduct deep dives into automation data, driving process and product improvements.
  • Support Process Engineering by generating dashboards to identify bottlenecks, validate new updates, and monitor process changes.
  • Support the VP, Operations, Team Leads, and Training teams by establishing data-driven metrics to drive efficiency and quality gains.
Insight & Process Optimization
  • Use statistical tools to identify, analyze, and interpret patterns and trends in operational data sets.
  • Work alongside the Operations Management Team to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
  • Provide insights, data-driven recommendations, and peer coaching/mentorship to other members of the Operations team to upskill internal data literacy.
Skills & Qualifications
  • Technical Proficiency: Strong hands-on experience working in Tableau, Excel, Google Sheets, and various visualization applications to report on operations.
  • Executive Presentation: Exceptional capability to build and present dashboards that translate raw data into a professional, accurate, and structured story tailored for executive leadership.
  • Analytical Rigor: Sharp problem-solving skills with the ability to assign numerical value to essential business functions for historical performance comparison.
  • Project Execution: Ability to manage analytical projects across their lifecycle-from initial planning through output visualization and ongoing maintenance.
  • Communication: Excellent verbal and written communication skills, with the ability to collaborate with internal customers to gain consensus on insights and recommendations.
  • Agility & Quality: Highly organized, deadline-focused, and agile, with a strong regard for product quality and safety standards.
Educational Requirements & Work Experience
  • Education:S. or M.S. (preferably in a scientific, technical, or quantitative field).
  • Experience: A minimum of 2 to 4+ years of experience in data analytics or related technical fields (final title and project complexity tailored to the candidate's background).

A reasonable estimate of the yearly base compensation range is $108,000-$141,000 (For the San Francisco Bay Area candidates) or $89,000-$116,000 (for the Austin candidates) and bonus.
Heartflow is an Equal Opportunity Employer. We are committed to a work environment that supports, inspires, and respects all individuals and do not discriminate against any employee or applicant because of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. This policy applies to every aspect of employment at Heartflow, including recruitment, hiring, training, relocation, promotion, and termination.
Positions posted for Heartflow are not intended for or open to third party recruiters / agencies. Submission of any unsolicited resumes for these positions will be considered to be free referrals.
Heartflow has become aware of a fraud where unknown entities are posing as Heartflow recruiters in an attempt to obtain personal information from individuals as part of our application or job offer process. Before providing any personal information to outside parties, please verify the following: A) all legitimate Heartflow recruiter email addresses end with "@heartflow.com" and B) the position described is found on our careers site at www.heartflow.com/about/careers/.

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