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Data Visualization Jobs in Goleta, CA (NOW HIRING)

Data Support is a global team that turns The Trade Desk's proprietary data into custom and syndicated segments and insights that clients can activate with confidence. The segments we build power ...

Define and own the software architecture for the AEOSx Digital Surgery product line, including surgical visualization, imaging, data management, cybersecurity, and robotic integration. * Establish ...

... and advanced visualization solutions. We design specialty innovations, smart instruments and ... Experience with automated testing and data collection. * Familiarity with programming or test ...

Staff Systems Engineer

Goleta, CA ยท On-site

$150 - $185/hr

We combine 3D visualization and guidance software applications focused on improving accuracy ... Broad knowledge of engineering concepts (EE, ME, SW, data analysis, modeling) is required. Language ...

Test Engineer II

Goleta, CA ยท On-site

$90 - $120/hr

... and advanced visualization solutions. We design specialty innovations, smart instruments and ... Preferred Qualifications Experience with automated testing and data collection. Familiarity with ...

Sr Software DevOps Engineer

Goleta, CA ยท On-site

$120 - $180/hr

We combine 3D visualization and guidance software applications focused on improving accuracy ... Complexity - Works on problems of moderate scope where analysis of situations or data requires a ...

Plant Controller

Goleta, CA ยท On-site

$180K - $205K/yr

We combine 3D visualization and guidance software applications focused on improving accuracy ... Uses intuition and experience to complement data * Oral Communication- Speaks clearly and ...

We combine 3D visualization and guidance software applications focused on improving accuracy ... Complexity - Works on complex issues where analysis of situations or data requires an in-depth ...

... and advanced visualization solutions. We design specialty innovations, smart instruments and ... Experience with automated testing and data collection. * Familiarity with programming or test ...

Showing results 21-40

Data Visualization information

See Goleta, CA salary details

$58.3K

$118.1K

$174.3K

How much do data visualization jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data visualization in Goleta, CA is $118,093.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $132,700.00 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 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 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.

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 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.

Does data visualization pay well?

Data visualization professionals typically earn competitive salaries, especially with skills in tools like Tableau, Power BI, or D3.js. Salaries vary based on experience, location, and industry, but the role is generally well-compensated compared to other entry-level tech positions.

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 demand across many industries.

What jobs use data visualization?

Data visualization is used in a variety of roles such as data analyst, business intelligence analyst, data scientist, and dashboard developer. These jobs require skills in tools like Tableau, Power BI, or Excel to interpret and communicate data insights effectively.

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 presenting insights effectively to stakeholders.

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

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

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

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

Infographic showing various Data Visualization job openings in Goleta, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $118,093 per year, or $56.8 per hour.

Data Support Analyst I

The Trade Desk

Ventura, CA โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

Data Support is a global team that turns The Trade Desk's proprietary data into custom and syndicated segments and insights that clients can activate with confidence. The segments we build power campaigns reaching millions of consumers across the open internet - and the data decisions we support shape how some of the world's largest brands reach their audiences. We maintain the health and integrity of TTD's data marketplace - ensuring data is accurate, accessible, and reliable - and we partner with internal and external stakeholders to solve complex data challenges.

We operate as a Dual Impact Team: our time is split between client-facing service - proactive and reactive client work - and internal enablement, including building tools, improving processes, and supporting stakeholders across the business. We thrive when we learn fast, remain humble, and hold ourselves to the highest standard of both technical excellence and premium service delivery.

We are part of a multinational team within the world's leading, independent buying platform for digital advertising, with regional teams across North America, APAC, and EMEA.

What you'll do:

  • Build custom segments for The Trade Desk's clients for use within our data management platform, ensuring accuracy, data quality, and policy compliance throughout.
  • Spend meaningful time writing and running SQL to extract, analyze, and validate data across TTD data systems - combining large data sets, interpreting results, and turning findings into optimization strategies and custom segment solutions.
  • QA segment builds and data outputs for accuracy and compliance before delivery; troubleshoot technical issues independently and document findings clearly, escalating with full context when needed.
  • Evaluate each request against TTD ad policy standards - including sensitive categories, advertiser verticals, and geographic requirements - and escalate anything ambiguous before proceeding.
  • Build, maintain, and improve automations, scripts, and workflows that support segment creation and data operations - owning accuracy, checks and balances, and process efficiency across cross-functional and cross-regional teams.
  • Act as a trusted advisor and primary point of contact for stakeholders - guiding segment strategy, data best practices, and audience design, communicating proactively, and delivering high-ownership service from intake to completion.
  • Own client and internal requests end-to-end in Salesforce - from intake through resolution - troubleshooting and escalating when needed while maintaining documentation clear enough for any team member to pick up at any point.
  • Work daily alongside teammates and stakeholders across North America, APAC, and EMEA - adapting your communication style to different audiences and levels of technical expertise, coordinating cross-regional handoffs, and building trusted working relationships across cultures and time zones.
  • Contribute to the team's knowledge base through accurate documentation of team systems, processes, and domain knowledge - and serve as a subject matter expert for data analysis methods and tools.
  • Act as a connector between Data Support and other TTD teams to resolve data and segment-related issues, and contribute to internal enablement work - process improvement, tooling, and cross-functional projects - as business needs evolve.

Who you are:

  • Bachelor's degree or relevant work experience (0-3 years); a background in data, analytics, marketing technology, or a related field is a plus.
  • Brings a collaborative and energetic mindset to the position
  • Proficient in Excel and MS Office, including pivot tables, charts, and manipulation of large data sets.
  • Able to write and run complex SQL queries, including multiple joins, temp tables, CTEs, CASE WHEN logic, and nested queries.
  • Comfortable engaging with stakeholders at varying levels of technical expertise - you can translate complexity into clarity.
  • Collaborative and effective cross-functionally in a fast-paced environment, with a track record of building strong working relationships at all levels of the organization.
  • Detail-oriented and precise, with a strong commitment to data handling ethics and consumer privacy.
  • Skilled at solving complex technical problems creatively while anticipating stakeholder needs and consistently meeting or exceeding expectations.
  • Comfortable with ambiguity and change - you approach shifting requirements as opportunities rather than obstacles.
  • Comfortable adopting and adapting to new technologies, tools, and coding environments - including platforms like Databricks, Python, and AI-assisted tooling (Copilot, Claude, etc.) - as the tech stack and industry continue to evolve.
  • Strong time manager who can work across functions in a dynamic, solution-oriented environment while meeting deadlines.
  • Self-motivated and innovative; comfortable working independently, but an excellent team player with a growth mindset and a desire to make those around you better. #LI-LM2