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Data Visualization Project Manager Jobs in Alabama

Publicis Groupe Holdings B.V

Data Analyst

Birmingham, AL · On-site

$40K - $48K/yr

Power BI development and data visualization * SQL and database management * AI/ML implementation ... Time management across multiple technical projects Additional information Our Publicis Groupe motto ...

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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 Specialist 3

4pconsultinginc

Birmingham, AL • On-site

Contractor

Posted 7 days ago

Job description

Data Visualization Specialist 3

Location: Birmingham, AL ( HYBRID)

Client- Southern Company Services.

Contract- 3 Years
 

Job Summary

We are seeking an experienced Data Visualization Specialist (Level 3) with 5–10 years of professional experience to design, develop, and deliver impactful dashboards and visual analytics solutions. This position will play a key role in helping stakeholders across the utility sector make informed, data-driven decisions by transforming complex datasets into clear, actionable insights.

Key Responsibilities

  • Dashboard & Report Development

    • Design, build, and maintain Power BI dashboards and visualizations that highlight operational, financial, and engineering insights.

    • Curate datasets using SQL and integrate multiple data sources to support reporting needs.

    • Optimize performance and usability of dashboards for a variety of business users.

  • Collaboration & Stakeholder Engagement

    • Partner with engineers, analysts, and subject matter experts to understand requirements and deliver accurate, visually compelling dashboards.

    • Provide expertise in visual storytelling, ensuring technical content is accessible and informative to both technical and non-technical audiences.

  • Data Governance & Quality

    • Validate and maintain accuracy of data visualizations.

    • Ensure visualizations comply with established standards for consistency, clarity, and reliability.

  • Advanced Analytics Support

    • Support adoption of advanced visualization tools (e.g., Tableau, Azure Databricks) for complex reporting requirements.

    • Explore opportunities for automation and efficiency improvements in reporting processes.

Qualifications

  • Education:

    • BS in Computer Science, Data Science, Statistics, Engineering, or related field preferred.

  • Experience:

    • 5–10 years of relevant data visualization and dashboard development experience.

    • Strong expertise with Power BI required.

    • Hands-on experience with SQL for data curation.

    • Familiarity with Azure Databricks and Tableau is preferred.

    • Prior experience supporting analytics in utilities, engineering, or energy-related fields is a plus.

  • Technical Skills:

    • Proven ability to transform raw datasets into actionable insights.

    • Strong knowledge of data modeling, data integration, and visualization best practices.

    • Proficiency with Microsoft Office Suite (Excel, Word, PowerPoint).

Work Environment

  • This position is listed as on-site, with the option to work 4 days in office and 1 day remote per week.

  • Work involves frequent collaboration with engineering and project teams, requiring excellent communication and adaptability.