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Data Visualization Expert Jobs in California (NOW HIRING)

Experience working with major data visualization or business intelligence tools: Tableau, PowerBI, etc. * Advanced or expert SQL programming * Comfortable designing data schemas, writing user stories ...

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Overview Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Overview Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

We're looking for a practitioner who is an expert in analytics and data science, understands ... Strong communication and data visualization skills, with the ability to explain complex findings ...

... data visualization using tools like Mixpanel, Tableau to create dashboards powering KPI evaluation at both the detail team level and summary executive level • Expert SQL proficiency in BigQuery ...

Join the Intuit Customer Success team as a Staff Data Scientist within our Expert Network. In this ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Join the Intuit Customer Success team as a Staff Data Scientist within our Expert Network. In this ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Overview Join the Intuit Customer Success team as a Staff Data Scientist within our Expert Network ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

Overview Join the Intuit Customer Success team as a Staff Data Scientist within our Expert Network ... Hands-on experience with data visualization tools like Tableau or Qlik. Strong communication and ...

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Showing results 1-20

Data Visualization Expert information

See California salary details

$53.3K

$108K

$159.4K

How much do data visualization expert jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data visualization expert 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 the difference between Data Visualization Expert vs Data Analyst?

AspectData Visualization ExpertData Analyst
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; certifications in visualization tools (e.g., Tableau, Power BI)Bachelor's or higher in Statistics, Mathematics, or related fields; often certifications in data analysis tools
Work EnvironmentFocus on creating visual representations, dashboards, and interactive reportsAnalyze datasets, generate insights, and prepare reports, often using visualization tools
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for data storytellingCommon in finance, healthcare, marketing, and business intelligence roles

The main difference is that a Data Visualization Expert specializes in designing and developing visual data representations, while a Data Analyst focuses on analyzing data to generate insights, often utilizing visualization tools as part of their workflow.

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

To thrive as a Data Visualization Expert, you need strong analytical skills, proficiency in data modeling, and an educational background in statistics, computer science, or a related field. Expertise with visualization tools like Tableau, Power BI, and programming languages such as Python or R is typically required, along with familiarity with data querying systems like SQL. Exceptional attention to detail, creativity, and effective communication are important soft skills for translating complex data into compelling, actionable insights. These skills ensure that data visualizations are accurate, informative, and accessible, driving better decision-making across organizations.

What are some common challenges Data Visualization Experts face when translating complex data for non-technical stakeholders?

Data Visualization Experts often encounter the challenge of simplifying complex datasets without losing essential details or accuracy. Balancing clarity and depth is key, as stakeholders may have varying levels of data literacy. Additionally, selecting the right visualization type and ensuring accessibility across devices can be difficult. Effective communication and collaboration with both technical and non-technical team members are critical to delivering insights that inform decision-making.

What are Data Visualization Experts?

Data Visualization Experts are professionals who specialize in transforming complex data sets into clear, visually engaging graphics and interactive dashboards. Their main goal is to help organizations and stakeholders understand trends, patterns, and insights from data through visuals such as charts, graphs, and maps. They use tools like Tableau, Power BI, or D3.js, and collaborate closely with data analysts and decision-makers. Their work makes data more accessible and actionable for everyone in an organization.
What job categories do people searching Data Visualization Expert jobs in California look for? The top searched job categories for Data Visualization Expert jobs in California are:
Infographic showing various Data Visualization Expert job openings in California as of June 2026, with employment types broken down into 3% As Needed, 52% Full Time, 36% Part Time, 3% Temporary, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $108,017 per year, or $51.9 per hour.
Senior People Systems and Data Analyst

Senior People Systems and Data Analyst

Freenome

Brisbane, CA • On-site

$120K - $170K/yr

Other

Posted 18 days ago


Job description

About this opportunity:

Freenome is seeking a highly analytical and systems-savvy Senior People Systems and Data Analyst to elevate our People data capabilities and drive insight-led decision-making. This role will own the development of dashboards, analytics, and reporting that provide visibility into workforce trends and inform hiring, retention, engagement, and organizational planning strategies. This individual will transform People data into actionable insights through advanced analytics, scalable dashboards, and strong data storytelling. While the role maintains ownership of People systems and data integrity, its primary focus is generating insights that enable better business decisions.

The role reports to the Director, People Operations. This role will be a Hybrid role.  

What you'll do:

  • Develop, analyze, and interpret workforce data to identify trends, risks, and opportunities across recruiting, retention, performance, and engagement.
  • Conduct deep-dive analyses (attrition trends, hiring funnel performance, compensation insights, engagement drivers).
  • Build statistical and trend analyses across the employee lifecycle to proactively surface insights that influence People and business decisions.
  • Deliver actionable quarterly reporting that translates complex datasets into clear, executive-ready insights and recommendations.
  • Design, build, and maintain scalable and automated dashboards.
  • Establish consistent KPI definitions and reporting standards.
  • Improve data visualization practices to ensure clarity, usability, and impact.
  • Replace manual reporting processes with automated, real-time reporting solutions.
  • Ensure high levels of data accuracy, integrity, and trust.
  • Serve as primary People data and HRIS reporting expert.
  • Partner with IT and vendors to implement and manage integrations, evaluate new features, and identify opportunities to automate data workflows.
  • Manage data governance standards to ensure compliance and data privacy best practices.
  • Identify process improvements that enhance efficiency, data structure and accessibility.
  • Enable tier-zero employee and manager self-service for policies, processes, and data through systems and chatbots, reducing reliance on People team members and ticket systems.
  • Champion system education to drive employee and manager self-service adoption and data and systems utilization.
  • Drive AI initiatives such as deploying LLMs for job descriptions and ML to forecast attrition, ensuring tools are trained and continuously refined to be fit-for-purpose and remain within ethical and legal guardrails.

Must haves:

  • Bachelor's degree in Statistics, Data Science, Business Analytics, HR, Economics, or related field.
  • 5-7 years of experience in People Analytics, Workforce Analytics, HRIS Analytics, or related analytical roles.
  • Prior experience modifying, improving and/or implementing People systems (Greenhouse, Paylocity a bonus).
  • Advanced proficiency in data visualization tools (Tableau, Power BI, Looker, or similar).
  • Strong experience building executive dashboards from the ground up.
  • Knowledge of data, statistical, and predictive analysis.
  • Advanced Excel/Google Sheets skills.
  • Experience working with large, complex datasets.
  • Demonstrated ability to translate data into clear business insights and recommendations.
  • Strong understanding of core People processes (recruiting, compensation, performance, engagement, workforce planning).
  • Excellent verbal and written communication skills.
  • Strong analytical and problem-solving skills.
  • Passion for driving continuous improvement simplifying workflows, implementing automation, and driving self-service.
  • Demonstrated interest in leveraging AI to enhance systems and analytics.

Nice to haves:

  • Experience in a high-growth biotech or startup environment, with exposure to IPO preparation, public company reporting requirements, or SOX-compliant processes.
  • Familiarity with Greenhouse, Paylocity, or other HRIS/ATS platforms.
  • Exposure to predictive analytics or basic modeling techniques.
  • SHRM-CP or SHRM-SCP certification.

Benefits and additional information:

The US target range of our base salary for new hires is $120,275 - $170,100. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company's sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ freenome.com/job-openings/ for additional company information.  

Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis 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.

Applicants have rights under Federal Employment Laws.  

  • Family & Medical Leave Act (FMLA)
  • Equal Employment Opportunity (EEO)
  • Employee Polygraph Protection Act (EPPA)

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