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Data Visualization Manager Jobs in Hayward, CA (NOW HIRING)

TriOptus LLC

Data Analyst

San Francisco, CA · On-site

Interview Process: * 30 minute MS Teams interview with Manager Required Skills : Data Analysis,Business Intelligence,Tableau,SQL Server Basic Qualification : Additional Skills : Data Visualization ...

Info Way Solutions

Senior Data Analyst

Fremont, CA · On-site

$94K - $119K/yr

O.T and Sensor Fusion, utilizing various analytic tools and data visualization techniques to ... management experience • Experience in home improvement retail • 2 years of experience in ...

ITbility

Data Analyst

Sunnyvale, CA · On-site

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

Midi Health

Data Analyst, Growth

San Francisco, CA · Hybrid

If you love data visualization, story telling, and diving deep into funnel analytics to drive ... Recruiter Screen- 30 mins Hiring Manager Screen- 30 mins Technical Screen- 45 mins Panel Interviews ...

Midi Health

Data Analyst, Growth

San Francisco, CA · On-site +1

If you love data visualization, story telling, and diving deep into funnel analytics to drive ... Recruiter Screen- 30 mins Hiring Manager Screen- 30 mins Technical Screen- 45 mins Panel Interviews ...

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Showing results 21-40

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

Data Visualization Manager information

See Hayward, CA salary details

$61.9K

$125.5K

$185.2K

How much do data visualization manager jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data visualization manager in Hayward, CA is $125,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $141,000.00 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 Hayward, CA? The most popular types of Data Visualization jobs in Hayward, CA are:
What are popular job titles related to Data Visualization Manager jobs in Hayward, CA? For Data Visualization Manager jobs in Hayward, CA, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Hayward, CA look for? The top searched job categories for Data Visualization Manager jobs in Hayward, CA are:
What cities near Hayward, CA are hiring for Data Visualization Manager jobs? Cities near Hayward, CA with the most Data Visualization Manager job openings:
Data Visualization Manager jobs near you
Infographic showing various Data Visualization Manager job openings in Hayward, CA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,484 per year, or $60.3 per hour.

Fraud & Risk Data Analyst Fintech & Data Insights *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Re-posted 9 days ago

Job description

Staff Fraud & Risk Analyst Fintech & Data Insights

As a Fraud & Risk Data Analyst, you ll work at the intersection of analytics, compliance, and product innovation. This role is part of a dynamic Risk Insights and Experimentation team that influences billions of dollars in transactions annually. You ll partner with cross-functional teams to uncover insights, design experiments, and shape strategies that drive secure, scalable growth.

Domain expertise in Security, Risk & Fraud in Fintech space (consumer Lending, Fraud & Risk Policy, Compliance, Marketing, Product, Finance is required)

Key Responsibilities:
  • Deliver clear, persuasive insights to senior leadership through data storytelling and executive-ready reports.
  • Build intuitive dashboards and visualizations that guide strategic and operational decisions.
  • Design and interpret A/B tests to optimize product performance and risk strategies.
  • Collaborate with product, compliance, finance, and data science teams to define scalable analytics frameworks.
  • Analyze large-scale transactional and behavioral data to detect trends, anomalies, and fraud patterns.
  • Evaluate compliance effectiveness and recommend improvements to onboarding and remediation flows.
  • Translate ambiguous business questions into structured analytical approaches using SQL, Python, and visualization tools.
  • Investigate root causes of performance gaps and propose timely corrective actions.
  • Maintain clean, reliable data pipelines and address data quality issues proactively.
Qualifications:
  • 6+ years in analytics, data science, or decision strategy roles, ideally in Financial Services or Fintech.
  • Advanced SQL skills and working knowledge of Python for data manipulation and automation.
  • Experience with data visualization tools (Tableau, Quicksight, Qlik) and dashboard development.
  • Strong understanding of A/B testing principles and experimental design.
  • Proven ability to influence decisions through data-driven recommendations.
  • Excellent communication skills for translating complex data into actionable insights.
  • Bachelor s degree in a quantitative field (Economics, Math, Science) or equivalent experience.

fraud analyst, risk analyst, fintech analytics, SQL, Python, A/B testing, data visualization, Tableau, Quicksight, Qlik, compliance analytics, risk management, dashboard development, data science, financial services, experimentation, policy analytics, fraud detection, risk strategy, KPIs, OKRs, data storytelling

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