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Data Visualization Manager Jobs in Riverside, CA

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

... data visualization, reporting, and collaboration platforms. This entry-level role focuses on ... Build and manage SharePoint sites to enhance collaboration, document sharing, and workflow ...

VSolvit

DATA SCIENTIST II

Norco, CA · On-site

$115K - $130K/yr

Working knowledge and familiarity with data visualization tools like Tableau, Power BI, or similar ... Experience working with Atlassian product and project management tools (Jira, Confluence) * If ...

Lennar

Data Analyst II

Irvine, CA · On-site

$95K - $119K/yr

A career built on building zero defect homes, cost management, and adherence to schedules. Role ... Proficient in Tableau or similar data visualization tools with hands-on dashboard development ...

Esri

Sr. Marketing Data Strategist

Redlands, CA · On-site

$93K - $156K/yr

Data visualization, reporting, & data health monitoring. Develop dashboards and visualizations that ... Advanced experience working across CRM, marketing automation platforms, CDPs, and BI tools

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All JobsData Visualization JobsData Visualization Manager JobsData Visualization Manager Jobs in Riverside, CA

Data Visualization Manager information

See Riverside, CA salary details

$56.3K

$114.2K

$168.5K

How much do data visualization manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data visualization manager in Riverside, CA is $114,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $128,300.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges Data Visualization Managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

What does a Data Visualization Manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

What is the difference between Data Visualization Manager vs Data Analyst?

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

What are the most commonly searched types of Data Visualization jobs in Riverside, CA? The most popular types of Data Visualization jobs in Riverside, CA are:
What are popular job titles related to Data Visualization Manager jobs in Riverside, CA? For Data Visualization Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Riverside, CA look for? The top searched job categories for Data Visualization Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Visualization Manager jobs? Cities near Riverside, CA with the most Data Visualization Manager job openings:
Data Visualization Manager jobs near you
Business Intelligence Data Engineer

Business Intelligence Data Engineer

Golden State Foods

Irvine, CA • On-site

$54 - $70.25/hr

Full-time

Posted 9 days ago

Golden State Foods rating

6.3

Company rating: 6.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

283rd of 397 rated food and drinks producers

Job description

Job Summary:
Golden State Foods is a distinguished leader in the food service industry, offering an extensive array of products and services to a diverse clientele. The Data Engineer will be responsible for the full cycle of data warehouse development, including analyzing business requirements and designing ETL processes to present data for reporting consumption.
Responsibilities:
• Work with business requirements to identify and understand source data systems; provide resolutions to all data issues and coordinate with data analyst to validate all requirements, perform interviews with all users and developers.
• Map source system data to data warehouse tables
• Develop and perform tests and validate all data flows and prepare all ETL/ELT processes according to business requirements and incorporate all business requirements into all design specifications.
• Define and capture metadata and rules associated with ETL processes
• Adapt ETL processes to accommodate changes in source systems and new business user requirements
• Collaborate with all developers and business users to gather required data and execute all ETL programs and scripts on systems and implement all data warehouse activities and prepare reports for same.
• Provide support and maintenance on ETL processes and documentation
• Build partnerships across the application, business, and infrastructure teams
• Strive to continuously improve the software delivery processes and practices
• Champion company standards and best practices
• Accountable for properly following all IT standards, processes and methodologies as applicable including but not limited to Quality Assurance (QA)
• Other responsibilities and accountabilities may be assigned based on business and organization needs.
Qualifications:
Required:
• Four year college in a quantitative field such as Computer Science / Computer Information Systems or commensurate work experience.
• Industry experience as a Business Intelligence Data Engineer or related specialty (e.g. Software Engineer, Business Intelligence Engineer, and Data Scientist) with extensive professional experience and a proven track record in a role focused on understanding, manipulating, processing and extracting value from various systems.
• Strong proficiency in SQL
• Expert in ETL tools such Matillion, Informatica, SSIS, ODI etc. as and/or other data manipulation languages such as Python, SAS and R.
• Creative in finding new solutions and designing innovative methods, systems and processes
• Desire to create and build new predictive/optimization tools for structuring datasets
• Extensive experience Data Warehousing development: Star Schema modeling, slowly changing dimensions, row-level security, standard DW architecture/processes, troubleshooting and production support.
Preferred:
• Experience with AWS such as Redshift, EC2, S3, Pythons
• Strong analytic skills for working with structured and/or unstructured datasets
• Strong project management and organizational skills, experience working on complex initiatives with cross-functional teams in a dynamic environment
• Experience with connecting data sets to data visualization tools and creating reports using PowerBI or other visualization tools.
Company:
Golden State Foods provides to the food service and retail industries. Founded in 1947, the company is headquartered in Irvine, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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