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Data Visualization Manager Jobs in Ohio (NOW HIRING)

PatientPoint - Invite Only

Data Analyst

Cincinnati, OH · On-site

... managing large datasets. * Basic proficiency in programming languages such as Python (preferred) or R for data analysis and automation. * Experience with data visualization tools such as Looker ...

New

SEI

Data and Analytics Consultant

Cincinnati, OH

... data visualization best practices A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our ...

Nationwide

Sr Analyst, Data Solution Analyst

Columbus, OH · On-site +1

$83K - $104K/yr

Two to five years of relevant experience with data management/ organization/ analytics or practices. Experience in with data visualization tools, reporting and self-service analytic techniques.

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · Hybrid

$57/hr

Experience with data visualization tools (e.g., Tableau, Power BI). * Strong SQL skills and familiarity with database management. * Ability to lead and manage tasks and activities effectively.

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All JobsData Visualization Manager JobsData Visualization Manager Jobs in Ohio

Data Visualization Manager information

See Ohio salary details

$51.3K

$104.1K

$153.5K

How much do data visualization manager jobs pay per year?

As of Jun 19, 2026, the average yearly pay for data visualization manager in Ohio is $104,054.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $116,900.00 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 Ohio? The most popular types of Data Visualization jobs in Ohio are:
What are popular job titles related to Data Visualization Manager jobs in Ohio? For Data Visualization Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Ohio look for? The top searched job categories for Data Visualization Manager jobs in Ohio are:
What cities in Ohio are hiring for Data Visualization Manager jobs? Cities in Ohio with the most Data Visualization Manager job openings:
Data Visualization Manager jobs near you
Consultant - Data Visualization - User Interface/Experience

Consultant - Data Visualization - User Interface/Experience

Pyrovio

Akron, OH • On-site

Full-time

Posted 11 days ago

Job description

Description:

This position is for a Consultant with a strength in data visualization, user interface/experience and data storytelling for business and IT organizations. The Consultant will work with diverse clients ranging from small and medium size enterprises to Fortune 100 firms. Working in a team environment with internal and Client stakeholders, the consultant will develop, analyze, and optimize data visualization and user interfaces. This involves coordinating data analytics, data storytelling and user interface development activities within a client's organization.

Engagements are usually longer in duration, which allows for the consultant to oversee the implementation of his/her process improvement recommendations.

Responsibilities:

The Consultant will perform the following job responsibilities in addition to others as required for each project:

  • Manages and implements data visualization, user interface/experience and data storytelling within their assigned projects.
  • The Consultant is the primary resource to project teams in support of all data visualization, user interface/experience and data storytelling initiatives. The Consultant will work with the project team and interact with the client for.
  • The Consultant will oversee the implementation of data visualization, user interface/experience and data storytelling recommendations data source evaluation, data modeling, data storytelling and user interface/experience design and implementation with the client and work with other consultants to coordinate all facets of these initiatives
  • Mentor and coach team members on the fundamentals of implementation of data visualization, user interface/experience and data storytelling.
  • Data analytics and metrics development. Develop Key Performance Indicators for the current state, and track KPIs during and after implementation of process improvement recommendations

General Consultant Qualifications:

Qualified candidates for Consultant Level positions will have the following qualifications:

  • Undergraduate Degree in technical field with two years of professional experience, or Graduate Degree, or equivalent in combination of education and/or experience
  • Strong skills in presentation, word processing, and spreadsheet applications.
  • Demonstrated success in analysis driven problem solving
  • Excellent verbal and written presentation skills
  • Ability to work effectively in a high-pressure, time-sensitive environment
  • Ability to effectively collaborate with cross functional teams and influence without authority
  • Ability to maintain confidential and sensitive materials and information
  • Ability to establish effective working relationships with client personnel
  • Expertise with Microsoft Power BI data visualization platform; Microsoft Power Platform experience bonus
  • Expertise in data analytics, data presentation, and KPI/dashboard development
  • Expertise in user interface/user experience evaluation/design/development

MUST HOLD U.S. CITIZENSHIP OR GREEN CARD TO QUALIFY FOR THIS POSITION


Travel Requirements:

  • Remote Work opportunities; with up to 25% in the office and/or travel to clients.

Pyrovio is an equal opportunity employer and complies with all applicable federal, state, and local laws regarding nondiscrimination. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

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About Pyrovio

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

11 - 50 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2007

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