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Data Visualization Manager Jobs in Riverside, CA

Esri

Product Engineer II - 3D Analyst Team

Redlands, CA · On-site

Grow capabilities for lidar data management, analysis, classification, and feature extraction tools ... Help make 3D textured reality meshes useful for more than just visualization * Sharpen and exercise ...

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

Armaninollp

Senior Manager, FP&A

Irvine, CA

$117K - $159K/yr

Own revenue and operating expenses for assigned BUs, including workforce expense management and ... Working knowledge of data visualization tools such as PowerBI, Tableau, Qlikview, etc. * Prior ...

ektello

Financial Analyst 1

Santa Ana, CA

Familiarity with data visualization tools (Tableau or Power BI) is a plus * Exposure to ERP systems ... Under the guidance of management, the analyst will ensure financial data accuracy and help optimize ...

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All 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 Jun 20, 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

Senior SQL developer- Healthcare Claims

Core Career Advisors

Anaheim, CA

$150K - $170K/yr

Other

Posted 5 days ago

Job description


About the Company

We are seeking a strong skilled SQL developer with python scripting experience in the healthcare industry. The ideal candidate should have several years of experience in data analysis and data modeling using SQL, Python, and data visualization tools such as PowerBI, SSRS, Qlik. Experience with CMS (Center for Medicare and Medicaid) and Value Based Care programs is highly preferred with an emphasis on knowledge with claims data (CCLF) and electronic medical records (EMRs). This is not a data engineer position.


Key Responsibilities:

  • Estimate impact with rigorous retrospective analyses (LOS, readmissions, mortality, reimbursement).
  • Contribute into building end-to-end data modeling of clinical and claims data.
  • Productionize efficient, reusable, and reliable SQL code to meet business requirements and help to define technical requirements as needed.
  • Develop, test, and maintain reporting in Power BI driven from electronic medical records data, claims data, HIE data, Salesforce data and other external data sources.
  • Collaborate with cross-functional teams to understand and define, design, and deliver new reports, dashboards, features and enhancements.
  • Create comprehensive reports and data visualizations using Power BI to support decision-making processes.
  • Ensure the performance, quality, and responsiveness of reporting tools.
  • Maintain up-to-date knowledge of emerging technologies and industry trends.
  • Participate in code reviews and contribute to a culture of continuous improvement.
  • Ensure compliance with healthcare regulations and standards, including HIPAA.

Required Qualifications:

  • Bachelor’s degree in computer science, Information Technology, or a related field, or equivalent practical experience.
  • Six plus years of experience in working with Medicare Shared Savings Program
  • Strong understanding of CCLF claims and EMR data structures. Required
  • Proficiency in back-end technologies such as Node.js, Python, Ruby, Java, or .NET.
  • Experience with database management systems such as Azure, SQL, and MySQL.
  • Expertise in report writing and data visualization using Power BI in the healthcare industry.
  • Strong understanding of healthcare regulations and standards.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
  • Ability to work in the Costa Mesa office 1-2 days per week (at discretion of hiring manager).

Preferred Qualifications:

  • Strong understanding of CMS and Value Based Care programs such as MSSP.
  • Good understanding with Azure, MySql, MSSQL and Data Factory.
  • Knowledge of healthcare interoperability standards (e.g., HL7, FHIR).
  • Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins, Github).
  • Familiarity with Agile development methodologies.
  • Familiar with LLM and AI technology solutions in healthcare.



Pay range and compensation package



$150,000.00 To $170,000.00 Annual


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