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Data Visualization Jobs in California (NOW HIRING)

Focus America Inc.

Data Analyst

San Diego, CA

... visualization tools (Power BI, Tableau, or similar). ⦁ Solid understanding of data modeling concepts and metric development. ⦁ Proven ability to understand business processes and map them to data ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable ...

Walmart

Senior Manager, Data Science

Union City, CA

$110K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

San Jose, CA

$143K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

Milpitas, CA · On-site

$143K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

Alameda, CA · On-site

$110K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

Cupertino, CA · On-site

$143K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

Newark, CA

$110K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

Palo Alto, CA · On-site

$110K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

Fremont, CA

$110K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

Walmart

Senior Manager, Data Science

San Francisco, CA · On-site

$110K - $286K/yr

... of Visualization guidelines and best practices for complex data types Multiple data visualization tools for example Python R libraries GGplot Matplotlib Ploty Tableau PowerBI etc Advanced ...

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How much do data visualization jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data visualization in California is $108,017.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $121,400.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.
More about Data Visualization jobs
What are the most commonly searched types of Data Visualization jobs in California? The most popular types of Data Visualization jobs in California are:
What are popular job titles related to Data Visualization jobs in California? For Data Visualization jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Visualization jobs in California look for? The top searched job categories for Data Visualization jobs in California are:
What cities in California are hiring for Data Visualization jobs? Cities in California with the most Data Visualization job openings:
Data Visualization jobs near you
Infographic showing various Data Visualization job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $108,017 per year, or $51.9 per hour.
Product Data Scientist *** Direct End Client ***

Product Data Scientist *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA

Other

Posted 12 days ago

Job description

Product Data Scientist

Job Summary

We re hiring a Product Data Scientist to drive insights and deliver data-backed strategies that accelerate growth and enhance customer experience. This role combines advanced analytics, experimentation, and technical expertise to solve complex product challenges.

Responsibilities

  • Formulate data-driven strategies to drive business growth and customer benefit.
  • Generate hypotheses based on customer behavior, industry trends, and market factors.
  • Design and interpret complex experiments beyond traditional A/B testing.
  • Build reusable and scalable analytics solutions to streamline workflows.
  • Communicate insights effectively to influence decision-makers and align cross-functional teams.

Required Skills

  • Technical Tools: Databricks, Tableau, SQL, Python.
  • Advanced SQL for complex queries and data manipulation.
  • Data Visualization: Qlik, Tableau, Plotly Dash.
  • Python Analytics & Modeling: numpy, pandas, scikit-learn.
  • Familiarity with Linux/OS X command line, Git, and general software development practices.
  • Experience with Generative AI and emerging technologies for multi-modal data insights.

Preferred Qualifications

  • Experience solving growth-related problems in fintech companies.
  • Strong analytical mindset with proven ability to design scalable data solutions.
  • Excellent communication and collaboration skills.

Product Data Scientist, Data Science, Analytics, SQL, Advanced SQL, Python, numpy, pandas, scikit-learn, Databricks, Tableau, Qlik, Plotly Dash, Data Visualization, Experiment Design, A/B Testing, Generative AI, Machine Learning, Linux, OS X, Git, Software Development, FinTech, SMB, Growth Strategy, Data Modeling, Data Pipelines, Dashboard Development, Statistical Analysis, Cloud Analytics, Big Data, Data Engineering

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