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Data Visualization Project Manager Jobs in Windsor, CA

... manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers ... Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc) * Experience ...

Project Engineer

Bodega Bay, CA · On-site

$150K - $250K/yr

You will work closely with engineering leadership, functional managers, systems engineering, and ... Experience with scripting (Python, SQL) or data visualization tools to automate program metrics and ...

Proficiency with modern surveying instruments, electronic data collection systems, and office computing tools * Strong understanding of contract administration, project management principles ...

Proficiency with modern surveying instruments, electronic data collection systems, and office computing tools * Strong understanding of contract administration, project management principles ...

This role manages RFIs, submittals, change orders, and project records while helping maintain ... Evaluates submittals of shop drawings, material data and samples and takes appropriate action based ...

Project Engineer

Santa Rosa, CA · On-site

$72K - $80K/yr

This role manages RFIs, submittals, change orders, and project records while helping maintain ... Evaluates submittals of shop drawings, material data and samples and takes appropriate action based ...

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Data Visualization Project Manager information

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How much do data visualization project manager jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data visualization project manager in Windsor, CA is $63.15, according to ZipRecruiter salary data. Most workers in this role earn between $54.66 and $73.89 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data visualization project manager?

To thrive as a Data Visualization Project Manager, you need expertise in data analysis, project management, and data visualization principles, often supported by a degree in a related field and experience managing analytics projects. Familiarity with tools like Tableau, Power BI, and project management software such as Jira or Asana is typically required, along with knowledge of data storytelling techniques. Strong communication, leadership, and problem-solving skills help ensure smooth collaboration between technical teams and stakeholders. These capabilities are essential for delivering impactful visual analytics solutions on time and aligning outcomes with business objectives.

What is the difference between Data Visualization Project Manager vs Data Analyst?

AspectData Visualization Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; project management certifications (e.g., PMP)Bachelor's or higher in Data Science, Statistics, or related field; often certifications in analytics tools
Work EnvironmentLeads projects, coordinates teams, manages timelines in corporate or tech settingsAnalyzes data, creates reports, and visualizations in various industries
Employer & Industry UsageUsed in tech, finance, marketing firms managing data projectsCommon across industries for data analysis and reporting

The Data Visualization Project Manager focuses on overseeing data visualization projects, coordinating teams, and ensuring timely delivery. In contrast, a Data Analyst primarily analyzes data and creates visual reports. Both roles require strong analytical skills, but the project manager emphasizes leadership and project coordination, while the analyst emphasizes data interpretation and visualization skills.

How does a data visualization project manager typically collaborate with data analysts and stakeholders during a project?

A Data Visualization Project Manager acts as a bridge between data analysts, who generate insights from raw data, and stakeholders, who rely on visualizations to inform decisions. They facilitate clear communication by gathering requirements, setting timelines, and ensuring that visual outputs align with stakeholder needs. Regular check-ins, feedback sessions, and collaborative workshops are common practices to keep everyone aligned and address any challenges early. This collaborative approach ensures that the final visualizations are both accurate and actionable, helping drive informed business decisions.

What is a data visualization project manager?

A Data Visualization Project Manager is a professional who oversees projects focused on turning complex data into visual formats such as charts, dashboards, and infographics. They coordinate teams of data analysts, designers, and developers to ensure that data is presented in a clear and effective way for stakeholders. These managers are responsible for project planning, timeline management, and ensuring that the final visualizations meet business goals and user needs. Strong communication skills and a good understanding of both data analysis and design principles are important for this role.
What job categories do people searching Data Visualization Project Manager jobs in Windsor, CA look for? The top searched job categories for Data Visualization Project Manager jobs in Windsor, CA are:
What cities near Windsor, CA are hiring for Data Visualization Project Manager jobs? Cities near Windsor, CA with the most Data Visualization Project Manager job openings:

Operations Data Analyst (Office Based)

Heartflow

Rohnert Park, CA • On-site

$108K - $141K/yr

Full-time

Posted 22 days ago


HeartFlow rating

7.8

Company rating: 7.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

136th of 242 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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