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Data Visualization Project Manager Jobs in Pennsylvania

Winaxis

Data Visualization Lead

Philadelphia, PA · On-site

... product managers) to gather requirements and create effective visual storytelling solutions ... projects/teams; experience with large datasets and APIs; familiarity with geospatial data formats ...

Cummins Inc.

Quality Manager

Slatington, PA

Utilizes Project Management and Data Visualization and Communication tools and methods to monitor and communicate full project status to the project team. Plans and monitors project budget, conducts ...

Cummins

Quality Manager

Slatington, PA

Utilizes Project Management and Data Visualization and Communication tools and methods to monitor and communicate full project status to the project team. Plans and monitors project budget, conducts ...

Cummins Inc.

Quality Manager

Slatington, PA

Utilizes Project Management and Data Visualization and Communication tools and methods to monitor and communicate full project status to the project team. Plans and monitors project budget, conducts ...

Inficare Technologies

Data Analyst

Malvern, PA · On-site

Bring structure to business requests, translate requirements into an analytical project approach ... Develop, own, and manage recurring analytic or reporting processes. * Proactively expand knowledge ...

LaFrance Corp

Project Management Intern

Concordville, PA · On-site

$29K - $34K/yr

LaFrance Corp is currently seeking Project Manager in the Research and Development Department in ... Summarize findings and present results through reports, data visualization, and presentations.

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Data Visualization Project Manager information

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

To thrive as a Data Visualization Project Manager, you need expertise in data analysis, project management, and data visualization principles, often supported by a degree in a related field and experience managing analytics projects. Familiarity with tools like Tableau, Power BI, and project management software such as Jira or Asana is typically required, along with knowledge of data storytelling techniques. Strong communication, leadership, and problem-solving skills help ensure smooth collaboration between technical teams and stakeholders. These capabilities are essential for delivering impactful visual analytics solutions on time and aligning outcomes with business objectives.

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

AspectData Visualization Project ManagerData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; project management certifications (e.g., PMP)Bachelor's or higher in Data Science, Statistics, or related field; often certifications in analytics tools
Work EnvironmentLeads projects, coordinates teams, manages timelines in corporate or tech settingsAnalyzes data, creates reports, and visualizations in various industries
Employer & Industry UsageUsed in tech, finance, marketing firms managing data projectsCommon across industries for data analysis and reporting

The Data Visualization Project Manager focuses on overseeing data visualization projects, coordinating teams, and ensuring timely delivery. In contrast, a Data Analyst primarily analyzes data and creates visual reports. Both roles require strong analytical skills, but the project manager emphasizes leadership and project coordination, while the analyst emphasizes data interpretation and visualization skills.

How does a Data Visualization Project Manager typically collaborate with data analysts and stakeholders during a project?

A Data Visualization Project Manager acts as a bridge between data analysts, who generate insights from raw data, and stakeholders, who rely on visualizations to inform decisions. They facilitate clear communication by gathering requirements, setting timelines, and ensuring that visual outputs align with stakeholder needs. Regular check-ins, feedback sessions, and collaborative workshops are common practices to keep everyone aligned and address any challenges early. This collaborative approach ensures that the final visualizations are both accurate and actionable, helping drive informed business decisions.

What is a Data Visualization Project Manager?

A Data Visualization Project Manager is a professional who oversees projects focused on turning complex data into visual formats such as charts, dashboards, and infographics. They coordinate teams of data analysts, designers, and developers to ensure that data is presented in a clear and effective way for stakeholders. These managers are responsible for project planning, timeline management, and ensuring that the final visualizations meet business goals and user needs. Strong communication skills and a good understanding of both data analysis and design principles are important for this role.
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Data Visualization Project Manager jobs near you

Data Visualization Lead

Winaxis

Philadelphia, PA • On-site

Contractor

Posted 9 days ago

Job description

Job Summary – Data Visualization Lead
- Design and develop advanced, interactive data visualizations using React, Deck.gl, and related technologies.
- Lead and mentor a small team of visualization engineers, providing technical guidance and conducting code reviews.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to gather requirements and create effective visual storytelling solutions.
- Optimize rendering performance for large, complex geospatial and temporal datasets.
- Ensure accessibility and responsiveness of visualizations across various devices and platforms.
- Maintain a scalable and maintainable codebase using best practices in testing, performance, and code structure.
- Stay updated on emerging trends and technologies in data visualization to drive team innovation.
- Utilize strong UI/UX skills to deliver compelling and intuitive user experiences.
- Required Skills: Proficiency in React.js, Deck.gl, JavaScript, HTML/CSS, SQL; experience leading engineering projects/teams; experience with large datasets and APIs; familiarity with geospatial data formats.
- Preferred Skills: Experience with Carto, JSON, API integration, CI/CD, Java, GIS/urban data, state management, design systems (Figma/Storybook), and agile environments.