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Senior Data Visualization Jobs in Windsor, CA (NOW HIRING)

Senior Data Analyst

Sonoma, CA · On-site

$96K - $121K/yr

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 ...

Senior Data Analyst

Santa Rosa, CA · On-site

$94K - $118K/yr

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 ...

Scientific Data Engineer

Bodega Bay, CA · On-site

$135K - $163K/yr

Design, implement and maintain high performance computing and cloud solutions for visualization and ... Network with senior internal and external personnel in their own area of expertise. We are looking ...

They're as comfortable presenting to senior leadership as they are rolling up their sleeves in a ... Expertise in prototyping, motion, or data visualization. Proficiency in Sketch, Figma, Keynote, and ...

Senior Backend Software Engineer

Bodega Bay, CA · On-site

$145K - $191K/yr

Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery * Experience with 3D visualization or computer-vision-powered experiences * Exposure to ML/AI-driven ...

Senior Data Visualization information

See Windsor, CA salary details

$18

$62

$89

How much do senior data visualization jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for senior data visualization in Windsor, CA is $62.39, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $73.89 per hour, depending on experience, location, and employer.

What is a senior data visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

What are some common challenges faced by senior data visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

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

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.

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

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

What job categories do people searching Senior Data Visualization jobs in Windsor, CA look for?

The top searched job categories for Senior Data Visualization jobs in Windsor, CA are:

What cities near Windsor, CA are hiring for Senior Data Visualization jobs?

Cities near Windsor, CA with the most Senior Data Visualization job openings:

Senior Data Analyst

ACCsurance

Sonoma, CA • On-site

$96K - $121K/yr

Other

Posted 27 days ago


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