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Remote Data Visualization Jobs in Cleveland, OH (NOW HIRING)

Leverage Data visualization and interpretation skills to present complex information clearly and ... This position is fully remote Skills: Agility core practices, Agility core practices, Agreements ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... and data visualization tools. Creativity: * Ability to think creatively and develop unique ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

... visualization; Cognos, Tableau * 3+ years data migration and validation projects * 3+ years of ... If fully remote: must be willing to travel * This position will require the ability to work ...

... visualization; Cognos, Tableau * 3+ years data migration and validation projects * 3+ years of ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

... visualization; Cognos, Tableau * 3+ years data migration and validation projects * 3+ years of ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

... visualization; Cognos, Tableau * 3+ years data migration and validation projects * 3+ years of ... If fully remote: must be willing to travel * This position will require the ability to work ...

AlloBaas - Data Engineer II

Lakewood, OH ยท On-site +1

$103K - $123K/yr

... visualization; Cognos, Tableau * 3+ years data migration and validation projects * 3+ years of ... If fully remote: must be willing to travel * This position will require the ability to work ...

Data Engineer (Remote)

Cleveland, OH ยท Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a ...

Ability to work with advanced data visualization tools. * CS Ops Familiarity: Experience selecting ... We Offer * 100% remote work environment * Medical, Dental and Vision insurance within 30 days * 100 ...

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... High proficiency in Excel and PowerPoint; bonus if you have other technical / data visualization ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked ...

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Remote Data Visualization information

See Cleveland, OH salary details

$52.4K

$106.1K

$156.6K

How much do remote data visualization jobs pay per year?

As of Aug 4, 2026, the average yearly pay for remote data visualization in Cleveland, OH is $106,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,300.00 and $119,300.00 per year, depending on experience, location, and employer.

What is remote data visualization?

Remote data visualization refers to the practice of creating interactive charts, graphs, and dashboards to represent data insights, while working outside of a traditional office environment. Professionals in this field use tools like Tableau, Power BI, or D3.js to help organizations make informed decisions by presenting complex data in an understandable visual format. Working remotely allows data visualization specialists to collaborate with teams across different locations using cloud-based platforms and virtual communication tools.

What are remote data visualization jobs?

A remote data visualization job allows you to work from home while assisting with the process of data visualization projects for a company. Your responsibilities may include reviewing analytics, creating engaging and interactive tools, portraying data in a visual way, developing presentations, interpreting data, and collaborating with other departments. You handle modeling, create charts and graphic depictions, gather datasets, produce reports, measure performance, and fulfill additional project duties as needed. You can find data visualization positions in various industries. Data visualization specialist, data visualization analyst, data visualization engineer, and data visualization director are some common job titles.

What are the key skills and qualifications needed to thrive as a remote data visualization specialist, and why are they important?

To thrive as a Remote Data Visualization Specialist, you need a strong background in data analysis, statistical concepts, and visual storytelling, often supported by a degree in computer science, statistics, or a related field. Expertise in tools such as Tableau, Power BI, or D3.js, as well as proficiency with programming languages like Python or R, is typically required. Excellent communication, creativity, and problem-solving skills help you convey complex data insights clearly and collaborate effectively with remote teams. These competencies are crucial for transforming raw data into actionable insights that drive informed business decisions in a virtual work environment.

How do remote data visualization specialists typically collaborate with cross-functional teams to deliver insights?

Remote data visualization specialists often work closely with data analysts, engineers, and business stakeholders via virtual collaboration tools. Regular video meetings, shared dashboards, and real-time feedback channels help ensure that visualizations align with project goals and stakeholder needs. Clear communication and documentation are essential for managing expectations and iterating on designs. Building strong relationships with distributed teams and being proactive in seeking and providing feedback are key to delivering effective data-driven stories.

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

AspectRemote Data VisualizationRemote Data Analyst
Required CredentialsDegree in Data Science, Computer Science, or related field; proficiency in visualization toolsDegree in Data Analysis, Statistics, or related; strong analytical skills
Work EnvironmentPrimarily focused on creating visual representations of data, often using tools like Tableau, Power BIAnalyzing datasets, generating reports, and providing insights, often using Excel, SQL, and statistical software
Industry UsageUsed across tech, finance, marketing, and consulting firms for presenting data insights visuallyCommon in finance, healthcare, retail, and marketing for data interpretation and decision-making

Remote Data Visualization specialists focus on designing visual data representations to communicate insights effectively, while Remote Data Analysts analyze data sets to generate actionable insights. Both roles require analytical skills, but their core tasks and tools differ, making them distinct yet complementary positions in data-driven organizations.

What are the most commonly searched types of Data Visualization jobs in Cleveland, OH? The most popular types of Data Visualization jobs in Cleveland, OH are:
What job categories do people searching Remote Data Visualization jobs in Cleveland, OH look for? The top searched job categories for Remote Data Visualization jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Remote Data Visualization jobs? Cities near Cleveland, OH with the most Remote Data Visualization job openings:
Infographic showing various Remote Data Visualization job openings in Cleveland, OH as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $106,148 per year, or $51 per hour.

Employee Benefits Data Analyst

Unison Risk Advisors

Cleveland, OH โ€ข On-site, Remote

Full-time

Posted 14 days ago


Job description

Job Summary
The Benefits Data Analyst supports clients and internal consulting teams by providing data analysis, financial reporting, benchmarking, and strategic insights related to employee benefit programs. This role leverages data to evaluate plan performance, identify trends, support decision-making, and deliver meaningful analytics that help clients manage costs and optimize benefit offerings.
A Day in the Life
  • Access and analyze client data to evaluate current and projected benefit plan performance, utilization trends, and financial outcomes.
  • Maintain confidentiality and security of client information in compliance with HIPAA and all applicable privacy regulations.
  • Partner with consultants, account management teams, and analytics colleagues to review client-specific data, identify opportunities, and develop recommendations that reduce risk and improve cost effectiveness.
  • Analyze utilization patterns, financial metrics, and industry benchmarks to support strategic planning, financial forecasting, plan design recommendations, and rate development.
  • Deliver accurate and timely reports, dashboards, and financial analyses to internal teams and clients while maintaining clear communication regarding project status and outcomes.
  • Manage access to carrier portals and third-party data systems; extract, validate, and transform data into standardized reporting formats for analysis and presentation.
  • Assist with onboarding new clients by coordinating data access, reporting requirements, implementation activities, and analytics setup.
  • Utilize analytics platforms, reporting tools, and data visualization solutions to produce actionable insights and improve operational effectiveness.
  • Collaborate with internal technology and data teams to ensure accurate data flows, successful implementations, and ongoing maintenance of reporting systems and data warehouses.
  • Conduct quality assurance audits to verify data integrity and resolve discrepancies in partnership with internal stakeholders and external partners.
  • Contribute to the continuous improvement of reporting processes, analytics tools, and client deliverables while staying current on industry trends, compliance requirements, and best practices.
  • Effectively prioritize workload, manage multiple deadlines, and identify creative solutions to business challenges.
  • Support prospect and finalist opportunities by preparing financial analyses, demographic reviews, and benchmarking studies to demonstrate value and support new business development efforts.

What You'll Need
Education & Experience
  • Bachelor's degree in Risk Management, Data Analytics, Finance, Statistics, Business, Information Systems, Mathematics, or a related field.
  • One to three years of relevant professional experience, or an equivalent combination of education and experience.

Preferred Qualifications
  • Experience gathering, manipulating, validating, and interpreting large datasets.
  • Prior experience within employee benefits, insurance, healthcare, consulting, or a related industry preferred.
  • Demonstrated analytical, quantitative, and research experience.
  • Experience with reporting tools, data visualization platforms, or business intelligence software is a plus.

Who You Are
You are a curious, detail-oriented problem solver who enjoys turning complex data into meaningful insights. You're comfortable working independently while collaborating across teams and can effectively manage competing priorities in a fast-paced environment.
Key characteristics include:
  • Strong attention to detail and accuracy, particularly with quantitative and financial information.
  • Excellent organizational and time management skills.
  • Ability to prioritize work and manage multiple projects simultaneously.
  • Strong analytical and critical-thinking abilities.
  • Effective written and verbal communication skills.
  • Resourceful and proactive with a continuous improvement mindset.
  • Ability to work independently while contributing to a collaborative team environment.
  • Professional judgment and discretion when handling sensitive and confidential information.
  • Adaptability and resilience in a dynamic, client-focused environment.