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Data Visualization Jobs in Los Angeles, CA (NOW HIRING)

Data Visualization Architect / Designer

Burbank, CA · On-site

$68.25 - $87.75/hr

Summary The Senior Data Visualization Architect / BI Designer is a highly specialized role responsible for transforming complex data into clear, intuitive, and visually compelling analytical ...

Senior Data Visualization Engineer

El Segundo, CA · On-site

$111K - $152K/yr

Senior Data Visualization Engineer Belong. Connect. Grow. with KBR! KBR is seeking highly motivated Senior Data Visualization Engineer to design and develop advanced data visualization solutions ...

New

Data Scientist I

Burbank, CA · On-site

$68.88 - $96.43/hr

Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis ...

Communicate through visualization, presentation, and storytelling. Requirements * Senior marketing analytics / data analyst experience. * Strong reporting, experimentation, channel-performance ...

... data visualization tools and techniques • Excellent communication and presentation skills Company : We are a leading technology, digital, and outsourcing services company. Founded in 2014, the ...

... data visualization tools and techniques • Excellent communication and presentation skills Company : We are a leading technology, digital, and outsourcing services company. Founded in 2014, the ...

Data Visualization (Power BI) Develop and maintain reports, dashboards, and visualizations that provide operational and financial insights to business partners. * Assist with enhancing existing ...

New

Data Science Manager

Irvine, CA · On-site

$150 - $210/hr

Design and implement data visualization solutions to effectively communicate complex insights to business stakeholders * Translate business requirements into actionable data science projects aligned ...

AWS Data Architect

Torrance, CA · On-site

$65.50 - $84.25/hr

Design and implement data views and dashboards using Power BI to enable data exploration and visualization. * Create data warehouses and data marts to meet the needs of the business * Monitoring and ...

Proficiency with data visualization tools (Tableau or Power BI) and complex financial modeling in Excel Preferred Qualifications * MBA or Master's degree in Data Science, Financial Engineering, or ...

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Design and implement data views and dashboards using Power BI to enable data exploration and visualization. * Create data warehouses and data marts to meet the needs of the business * Monitoring and ...

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

You are excellent in Data Visualization. * You are good in using Cognos and Business Objects. You will be reporting to the Senior Consultant. About our client: They are an equal opportunity employer ...

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Insightful Reporting & Visualization * Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both ...

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Data Visualization information

See Los Angeles, CA salary details

$58.2K

$117.9K

$174K

How much do data visualization jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data visualization in Los Angeles, CA is $117,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $132,500.00 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 are the most commonly searched types of Data Visualization jobs in Los Angeles, CA?

The most popular types of Data Visualization jobs in Los Angeles, CA are:

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

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

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

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

Infographic showing various Data Visualization job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,934 per year, or $56.7 per hour.

Data Visualization Architect / Designer

247Hire

Burbank, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Summary The Senior Data Visualization Architect / BI Designer is a highly specialized role responsible for transforming complex data into clear, intuitive, and visually compelling analytical experiences. This role combines deep expertise in Power BI and Tableau with strong UX/UI and product thinking to design and deliver dashboards, reports, and data stories that directly support decision-making across finance, content sales operations, and executive audiences. This role will partner closely with business stakeholders and data teams to understand user questions, translate them into visual requirements, and design dashboards that are not only accurate, performant, but also beautiful, easy to use, and consistent with enterprise standards. Responsibilities Design and build high-quality dashboards and reports in Power BI and Tableau that are intuitive, visually compelling, and aligned to answer business questions. Translate ambiguous user requests, sketches, or ideas into structured visual specifications (wireframes, mockups, layout options). Apply best practices in data storytelling, layout, color, typography, and interaction design to maximize clarity and usability. Conduct working sessions with business users to understand their goals, metrics, workflows, and pain points. Convert business questions into well‐defined measures, visuals, filters, and navigation flows. Iterate quickly on prototypes and designs based on user feedback before committing to full build. Collaborate with data engineering and modeling teams to ensure semantic layers, data models, and calculation logic support required visualizations. Design and implement measures, calculated columns, and DAX/LOD expressions (as applicable) to support advanced analytics and flexible slicing/dicing. Ensure dashboards are performant and scalable, especially for large datasets and high concurrency use cases. Define and maintain visualization standards and design guidelines (e.g., templates, themes, color palettes, navigation patterns) across Power BI and Tableau. Develop and curate reusable components (report templates, shared datasets, KPIs, visual patterns) to accelerate future dashboard development. Coach other analysts/developers on data visualization best practices and tool capabilities. Ensure all visualizations are data‐accurate, consistent with source‐of‐truth definitions, and aligned with data governance standards. Implement validation, peer review, and testing practices to minimize defects and metric confusion. Partner with data governance and security teams to ensure appropriate access controls, row‐level security, and data sensitivity are respected. Act as a trusted advisor to business and technology stakeholders on how to best present visual KPIs, trends, and complex business concepts. Present dashboard concepts and demos to senior leadership, clearly explaining design rationales and trade‐offs. Champion a data storytelling culture, helping teams think beyond static reports toward interactive, insight‐driven experiences. Requirements 8+ years of experience in Business Intelligence, Data Visualization, or Analytics, with a focus on dashboard/report design 8+ years of (Expert‐level) proficiency in both Power BI and Tableau 8+ years of (strong) understanding of data visualization principles (e.g., pre‐attentive attributes, chart selection, cognitive load, storytelling) Experience in Media, Entertainment, Finance, or Content Monetization Analytics (e.g., P&L, forecasting, title performance, sales planning) Familiarity with Snowflake or other cloud data platforms and working with centralized semantic models for BI Experience with design tools (e.g., Figma, Adobe XD, or similar) for rapid prototyping and UI mockups Background in UX/UI design, human‐centered design, or design thinking applied to analytics and BI Preferred Experience in Media, Entertainment, Finance, or Content Monetization Analytics (e.g., P&L, forecasting, title performance, sales planning) Familiarity with Snowflake or other cloud data platforms and working with centralized semantic models for BI Experience with design tools (e.g., Figma, Adobe XD, or similar) for rapid prototyping and UI mockups Background in UX/UI design, human‐centered design, or design thinking applied to analytics and BI Technology Expert‐level proficiency in both Power BI and Tableau Advanced calculations (DAX / M / custom measures in Power BI; LOD, table calcs in Tableau) Data modeling and semantic layer design Parameterization, dynamic visuals, and advanced filtering/navigation techniques Soft Skills Proven ability to design visually polished, user‐friendly dashboards that have been widely adopted by business users Strong understanding of data visualization principles (pre‐attentive attributes, chart selection, cognitive load, storytelling) Demonstrated experience working with large and complex datasets, joining multiple sources, and optimizing performance Excellent communication and facilitation skills: able to draw out user needs, challenge unclear requirements, and explain design choices in plain language Experience working in product‐oriented, agile environments, collaborating with product managers, data engineers, and business stakeholders Education N/A #J-18808-Ljbffr


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About 247Hire

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Oak Brook, IL, US

Year founded

2002