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Data Visualization Manager Jobs in Hilliard, OH (NOW HIRING)

CFS

Manager, Responsible Data & Systems

Westerville, OH · On-site

Power BI, dashboards, analytics, and data visualization * Advanced Excel and reporting * Data governance, quality, controls, and validation * Large-scale data management * Stakeholder management and ...

Pwc

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... visualization tools - Experience in designing advanced analytics solutions - Coaching and ...

USM

LEAD Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

... M counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data ... visualization 5. SQL experience is also very important- We will be trying to use a tool called ...

OCLC, Inc.

Associate Data/ Metadata Analyst

Dublin, OH · On-site

The Associate Data Analyst/Metadata Analyst manages the lifecycle of bibliographic and holdings ... Data Visualization: Use and interpret dashboards (e.g., Power BI) to monitor data quality trends ...

Sidram Technologies

Data Scientist - w2

Columbus, OH · On-site

... visualization. You will collaborate with a centralized team of data scientists as well as teams ... Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity * Work ...

VPL, Inc

Data Product Manager

Columbus, OH

As the Product Manager for Data Products, you will be responsible for the strategy, execution, and ... Experience with business intelligence (BI) and data visualization tools such as Power BI, Tableau ...

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Data Visualization Manager information

See Hilliard, OH salary details

$51.1K

$103.5K

$152.7K

How much do data visualization manager jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data visualization manager in Hilliard, OH is $103,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $116,300.00 per year, depending on experience, location, and employer.

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 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 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 Hilliard, OH?

The most popular types of Data Visualization jobs in Hilliard, OH are:

What are popular job titles related to Data Visualization Manager jobs in Hilliard, OH?

For Data Visualization Manager jobs in Hilliard, OH, the most frequently searched job titles are:

What job categories do people searching Data Visualization Manager jobs in Hilliard, OH look for?

The top searched job categories for Data Visualization Manager jobs in Hilliard, OH are:

What cities near Hilliard, OH are hiring for Data Visualization Manager jobs?

Cities near Hilliard, OH with the most Data Visualization Manager job openings:

Data Visualization Manager jobs near you

Manager, Responsible Data & Systems

CFS

Westerville, OH • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Manager, Responsible Business Data & Systems

Overview Lead data, systems, analytics, and reporting initiatives that support sustainability, environmental performance, regulatory compliance, and business decision-making. This role bridges Responsible Business objectives with the technology, data, and insights needed to measure performance and drive continuous improvement.

Key Responsibilities
  • Own sustainability and environmental data collection, validation, governance, and reporting
  • Manage reporting systems, data platforms, integrations, and process improvements
  • Develop and maintain Power BI dashboards, analytics, and executive reporting
  • Support greenhouse gas accounting, sustainability disclosures, and regulatory reporting
  • Establish data governance standards, controls, documentation, and audit readiness
  • Drive automation, workflow optimization, and digital transformation initiatives
  • Support customer, investor, and external reporting requirements
  • Collaborate across Operations, Finance, IT, Supply Chain, HR, Legal, and other stakeholders
Qualifications

Required

  • Bachelor’s degree or equivalent experience
  • 5–8+ years in data management, reporting, analytics, business intelligence, or enterprise applications
  • Experience with reporting platforms, Power BI, dashboards, and analytics
  • Experience with data governance, data quality, controls, and compliance reporting
  • Proven success leading system implementations, reporting transformations, or process improvement initiatives

Preferred

  • Sustainability, ESG, environmental, energy, utility, or regulatory reporting experience
  • Knowledge of greenhouse gas accounting and sustainability disclosures
  • Experience with enterprise reporting platforms (e.g., Workiva, AuditBoard, Smartsheet)
  • Experience managing environmental, operational, or regulatory datasets
Core Skills
  • Power BI, dashboards, analytics, and data visualization
  • Advanced Excel and reporting
  • Data governance, quality, controls, and validation
  • Large-scale data management
  • Stakeholder management and cross-functional collaboration
  • Analytical, problem-solving, and project management skills
  • Continuous improvement and process optimization mindset

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