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Director Data Visualization Jobs in Ohio (NOW HIRING)

Translate Quality business requirements into clear technical specifications, directing relevant IT ... Use statistical techniques and visualization tools to discover patterns and insights, rigorously ...

LEAD Data Modeler

Columbus, OH ยท On-site

$53 - $68.50/hr

... 4. Data visualization 5. SQL experience is also very important- We will be trying to use a tool ... a Director-level role in the organization. Candidates need to be able to effectively and ...

Data Scientist

Mentor, OH ยท Hybrid

$77K - $116K/yr

Translate Quality business requirements into clear technical specifications, directing relevant IT ... Use statistical techniques and visualization tools to discover patterns and insights, rigorously ...

Data Scientist

Mentor, OH ยท On-site

$77K - $116K/yr

Translate Quality business requirements into clear technical specifications, directing relevant IT ... Use statistical techniques and visualization tools to discover patterns and insights, rigorously ...

... 4. Data visualization 5. SQL experience is also very important- We will be trying to use a tool ... a Director-level role in the organization. Candidates need to be able to effectively and ...

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Director Data Visualization information

What is the difference between Director Data Visualization vs Data Analyst?

AspectDirector Data VisualizationData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experience in data visualization toolsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeadership role overseeing visualization teams, strategic planning, and project managementAnalyzing data sets, creating reports, and supporting decision-making processes
Employer & Industry UsageUsed in tech, finance, marketing, and large organizations for strategic insightsCommon across various industries for data interpretation and reporting

The main difference is that a Director Data Visualization leads visualization teams and sets strategic goals, while a Data Analyst focuses on analyzing data and creating visual reports. The director role involves higher-level management and planning, whereas the analyst role is more hands-on with data processing and reporting tasks.

Is data visualization a good career?

Data visualization is a valuable career for professionals skilled in data analysis, design, and tools like Tableau or Power BI. It offers opportunities in various industries, often with a demand for strong communication skills and the ability to interpret complex data visually. The field can provide steady employment and growth potential for those with relevant technical and analytical expertise.

What are some common challenges faced by a Director of Data Visualization when leading cross-functional teams?

As a Director of Data Visualization, one common challenge is bridging the gap between technical data teams and non-technical stakeholders. You'll often need to translate complex data insights into clear, compelling visuals that drive business decisions, while aligning the expectations and goals of multiple departments. Ensuring data accuracy, managing tight deadlines, and fostering collaboration among analysts, designers, and executives are also key aspects of the role. Effective communication and strong project management skills are essential to overcome these challenges and deliver impactful visualizations.

How to become a director of analytics?

To become a director of analytics, candidates typically need extensive experience in data analysis, data management, and leadership roles, often requiring 8-10 years in related fields. A strong understanding of data visualization tools, programming languages like SQL and Python, and advanced degrees such as a master's in data science or business analytics are common requirements. Developing strategic thinking, project management skills, and a proven track record of leading analytics teams are essential for advancement to this senior role.

How much does a director of data visualization make?

A director of data visualization typically earns between $100,000 and $180,000 annually, depending on experience, industry, and location. They often oversee teams, develop data presentation strategies, and require strong skills in tools like Tableau or Power BI.

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

A Director of Data Visualization requires expertise in data analysis, visualization principles, and a background in statistics or computer science, often supported by a relevant degree. Proficiency with visualization tools such as Tableau, Power BI, D3.js, and familiarity with database systems are essential, and certifications in these platforms are advantageous. Strong leadership, communication, and storytelling skills help translate complex data into actionable insights for diverse stakeholders. These competencies are crucial for driving data-driven decision-making and effectively communicating strategic information across an organization.

What are the 5 C's of data visualization?

The 5 C's of data visualization are clarity, context, conciseness, consistency, and credibility. These principles help a data visualization professional, such as a Director of Data Visualization, create effective and trustworthy visual representations of data by ensuring they are easy to understand, relevant, succinct, uniform, and accurate.

What does a Director of Data Visualization do?

A Director of Data Visualization oversees the design, development, and implementation of data visualization strategies within an organization. They lead teams that transform complex data sets into clear, actionable visual formats to support decision-making. This role often involves collaborating with data scientists, analysts, and business leaders to ensure visualizations meet organizational goals and communicate insights effectively. Additionally, they may set best practices, choose visualization tools, and guide the overall data storytelling approach.
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 cities in Ohio are hiring for Director Data Visualization jobs? Cities in Ohio with the most Director Data Visualization job openings:
Data Visualization Engineer - Advanced Engineering

Data Visualization Engineer - Advanced Engineering

Dice

Newark, OH โ€ข On-site

Full-time

Posted yesterday


Job description

Job Summary:
Kaiser Aluminum is known around the world for its superior quality, and they are seeking a Manufacturing Data Visualization Engineer to join their Advanced Engineering team. The role focuses on improving operational performance by creating clear visualizations of manufacturing data for various stakeholders, enabling data-driven decision-making and enhancing overall efficiency.
Responsibilities:
โ€ข Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
โ€ข Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
โ€ข Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
โ€ข Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
โ€ข Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
โ€ข Collaborate on visualization design such that existing best practices are reused
โ€ข Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
โ€ข Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
โ€ข Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
โ€ข Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
โ€ข Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
โ€ข Maintain alignment with cybersecurity, access control, and data governance requirements
โ€ข Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
โ€ข Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Qualifications:
Required:
โ€ข Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
โ€ข Five years' visualization development experience, preferably in manufacturing or industrial settings
โ€ข Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
โ€ข Competent with T-SQL and database theory and structures
โ€ข Basic knowledge in networking and client-server transactions
โ€ข Broad contemporary understanding of information technologies and trends
โ€ข Demonstrated experience with MBSE and documentation, sysML or like
โ€ข Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
โ€ข Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
โ€ข Ability to work incrementally and comfortable with collaboration and peer review
โ€ข Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
โ€ข Proven ability to manage concurrent development tasks
โ€ข Excellent problem solving, investigative, experimental, and statistical analysis skills
โ€ข Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
โ€ข Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Preferred:
โ€ข Manufacturing experience is a plus.
โ€ข Exposure to Digital Twins a plus.
Company:
Dice is a job-searching platform for technology professionals. It is a sub-organization of DHI Group. Founded in 1990, the company is headquartered in Santa Clara, USA, with a team of 201-500 employees. The company is currently Growth Stage.