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Data Visualization Tableau Jobs in California (NOW HIRING)

Experience with data visualization tools like Tableau (hands-on experience) * Ability to communicate information effectively to a variety of groups at different levels.

Data Analytics Engineer

San Jose, CA · On-site

$160K - $195K/yr

Visualization: Tableau, Power BI, matplotlib, plotly, or similar tools * Test Systems: Experience with test data formats (STDF), test executive software The base salary range is $160,000 USD - $195 ...

Hands-on experience with data visualization and reporting tools such as Power BI, Tableau, QlikView, or Looker. * Strong knowledge of Microsoft Excel including advanced formulas, pivot tables, and ...

New

... data visualization tools (e.g., Looker, Power BI, Tableau) and building self-serve analytics. • Experience with A/B testing, experimentation frameworks, and causal inference techniques. • ...

Tableau Tech Lead Work Location: Alameda CA Duration: Contract to hire / TE Experience: 10 to max ... Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation ...

Data Analyst

Riverside, CA · On-site

$142K/yr

Proven experience with Tableau for data visualization. * Strong experience in data processing and cleaning. * Proficiency in Python for data analysis and scripting. * Excellent analytical and problem ...

... data and cloud computing. Seamless delivery is ensured by our professionals, through the usage of ... Strong knowledge of best practices around Dashboards and Report Visualization. Strong knowledge of ...

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Data Visualization Tableau information

See California salary details

$53.3K

$108K

$159.4K

How much do data visualization tableau jobs pay per year?

As of Jun 11, 2026, the average yearly pay for data visualization tableau 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 are some typical challenges faced by Data Visualization Tableau professionals in their daily work?

Data Visualization Tableau professionals often encounter challenges such as gathering and cleaning large, complex datasets before creating meaningful dashboards, as well as ensuring their visualizations accurately represent the underlying data for diverse audiences. Balancing the technical requirements with business objectives can be demanding, requiring regular communication with stakeholders to refine and clarify project needs. Additionally, staying updated with new Tableau features and best practices is essential for maintaining high-quality work. Overcoming these challenges leads to more impactful insights and greater value for the organization.

What are the key skills and qualifications needed to thrive in the Data Visualization Tableau position, and why are they important?

To thrive as a Data Visualization Tableau professional, you need expertise in data analysis, dashboard creation, and visual storytelling, typically supported by a degree in computer science, statistics, or a related field. Mastery of Tableau software, SQL, Excel, and familiarity with data integration tools or visualization certifications are commonly expected. Strong attention to detail, effective communication, and the ability to translate complex data into clear insights are crucial soft skills. These capabilities ensure impactful visualizations that drive business decisions and facilitate cross-functional collaboration.

What is a Data Visualization Tableau job?

A Data Visualization Tableau job involves using Tableau software to create interactive and insightful visual representations of data. Professionals in this role analyze datasets, design dashboards, and generate reports to help businesses make data-driven decisions. They work with stakeholders to understand data needs and optimize visual storytelling for better insights. This role requires proficiency in Tableau, SQL, and data analysis techniques. It is commonly found in industries like finance, healthcare, marketing, and technology.

What are the most commonly searched types of Data Visualization Tableau jobs in California? The most popular types of Data Visualization Tableau jobs in California are:
What are popular job titles related to Data Visualization Tableau jobs in California? For Data Visualization Tableau jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Visualization Tableau jobs in California look for? The top searched job categories for Data Visualization Tableau jobs in California are:
Senior Data Scientist *** Direct End Client ***

Senior Data Scientist *** Direct End Client ***

Projas Technologies, LLC

San Diego, CA • On-site, Remote

Other

Posted 13 days ago


Job description

Job Title: Senior Data Scientist Product & Marketing Analytics

Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.

This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.


Key Responsibilities:
  • Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.

  • Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.

  • Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.

  • Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.

  • Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.

  • Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.

  • Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.


Qualifications:
  • 5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.

  • Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.

  • Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.

  • Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.

  • Skilled in data visualization using Tableau, Looker, or similar tools.

  • Proven ability to communicate technical results to executive and non-technical audiences.

  • Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.

  • Comfortable working in cross-functional, matrixed environments.


data science, senior data scientist, product analytics, marketing analytics, A/B testing, SQL, Python, machine learning, data visualization, predictive modeling, business insights, growth marketing, causal inference, SaaS, fintech, customer segmentation, uplift modeling, funnel optimization, dashboarding, experimentation, data storytelling, pandas, scikit-learn, Tableau, Looker, digital marketing, quantitative analysis, remote data science job

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