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Data Visualization Jobs in Fremont, CA (NOW HIRING)

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

This role requires expertise in machine learning, statistical methods, and data visualization to translate business needs into actionable insights. The position involves mentoring team members ...

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

T and Sensor Fusion, utilizing various analytic tools and data visualization techniques to provide insights and support decision-making processes. Qualifications : Required : • Bachelor's Degree in ...

Proficiency in 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.

Experience with data visualization tools (e.g., Tableau, Power BI) and SQL. * Solid understanding of machine learning algorithms and statistical analysis techniques. * Excellent analytical and ...

New

Analyze Tableau and Python code to pinpoint bugs, flawed designs, or inefficiencies affecting data integrity or visualization outcomes. * Solution Proposition : Offer informed solutions and ...

If you love data visualization, story telling, and diving deep into funnel analytics to drive business impact, this is the perfect opportunity to accelerate your career. What You'll Do * Dashboarding ...

ThoughtSpot & Data Visualization * AI/ML, Agentic AI, DataRobot * Python, Excel, Numbers * Quip, Keynote, Miro, Slack * Project & Stakeholder Management Key Requirements * Build and enhance reporting ...

Showing results 21-40

Data Visualization information

See Fremont, CA salary details

$59.1K

$119.8K

$176.8K

How much do data visualization jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data visualization in Fremont, CA is $119,812.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $134,600.00 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.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with increasing demand across industries.

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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with experience and proficiency in tools like Tableau, Power BI, or D3.js. Salaries vary by industry, location, and skill level but generally align with other data analysis roles, with higher pay for those who combine visualization skills with data analysis or programming expertise.

What skills are needed for data visualization jobs?

Data visualization jobs require skills in data analysis, proficiency with visualization tools like Tableau, Power BI, or D3.js, and a strong understanding of design principles to create clear, effective visuals. Knowledge of programming languages such as Python or R and the ability to interpret complex data sets are also important. Additionally, good communication skills help in explaining insights to non-technical stakeholders.
What cities near Fremont, CA are hiring for Data Visualization jobs? Cities near Fremont, CA with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Fremont, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,812 per year, or $57.6 per hour.

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

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 11 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