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Data Visualization Manager Jobs in Haddon Heights, NJ

Develops, owns and manages recurring analytic or reporting processes. * Mentors, coaches, trains ... Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create ...

... data visualization using Tableau (mandatory) or Power BI (optional); able to create clear ... who can independently manage projects and collaborate effectively across teams (engineering ...

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The Data Management Specialist works closely with the Data Engineer/Data Project Lead, Data Analysts, Data Visualization Specialists, and program staff to ensure data are reliable, well-documented ...

... deployment of data visualization solutions to improve financial reporting - Monitoring and ... modeling - Managing operational performance with advanced software tools - Leading process ...

Investment Data Analyst

Wayne, PA · On-site

$70K - $90K/yr

Serve as the Investment Management Group data steward for the Data Warehouse * Serve as the main ... Experience with data visualization tools such as Tableau or PowerBI * Proficient in Microsoft ...

The ideal candidate brings sourcing execution experience, strong data visualization and automation capabilities, and change management skills to modernize category management operations across ...

Showing results 41-60

Data Visualization Manager information

See Haddon Heights, NJ salary details

$52K

$105.5K

$155.6K

How much do data visualization manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data visualization manager in Haddon Heights, NJ is $105,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $118,500.00 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 job categories do people searching Data Visualization Manager jobs in Haddon Heights, NJ look for? The top searched job categories for Data Visualization Manager jobs in Haddon Heights, NJ are:
What cities near Haddon Heights, NJ are hiring for Data Visualization Manager jobs? Cities near Haddon Heights, NJ with the most Data Visualization Manager job openings:

Full-time

Re-posted 6 days ago


Job description

Role Summary

The Data Analyst, Specialist is responsible for leveraging data-driven insights to support strategic business decisions and improve operational efficiency. This role involves structuring complex business requests into well-defined analytical projects, extracting and analyzing large datasets from multiple sources and developing automated reporting solutions to enhance data accessibility and decision-making.

Core Responsibilities

  • Engages with internal partners to understand business strategy, questions and goals. Brings structure to business requests, translates requirements into an analytical project approach, and leads projects through completion. Delegates tasks and provides tactical and strategic guidance to peers.

  • Acquires and compiles structured and unstructured data and verifies its quality, accuracy and reasonableness.

  • Performs analyses of historical data to surface trends and insights using advanced analytical methods. Validates analytical techniques employed by other analysts.

  • Prepares and delivers visualizations and internal presentations that translate analytic insights into tangible, actionable solutions for business partners to implement.

  • Develops, owns and manages recurring analytic or reporting processes.

  • Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices.

  • Participates in special projects and performs other duties as assigned.


Qualifications

  • Minimum 5 years of relevant work experience, with at least 3 years in advanced data analysis, statistical modeling or business intelligence.

  • Bachelor's degree (B.E./B.Tech) in Computer Science, IT, or a Bachelor's in Statistics/Mathematics.

  • Strong proficiency in SQL for querying, data extraction and performance optimization.

  • Expertise in Python or R for data manipulation, automation and advanced analytics.

  • Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.