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Data Visualization Designer Jobs in Columbus, OH

... requirements, designing business processes and data models, and delivering actionable data to ... Develop reports using modern data visualization tools and best practices to surface valuable ...

... requirements, designing business processes and data models, and delivering actionable data to ... Develop reports using modern data visualization tools and best practices to surface valuable ...

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

... data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80% Job Posting End Date The salary range for ...

Palantir Developer designs, builds, and deploys data-driven applications and analytics workflows ... Data Visualization * Implement robust visualizations to enable actionable insights and analytical ...

... visualization and analysis software (Tableau, Excel, Cognos Analytics, PowerBI) * 3+ years of ... designed to be a complete list of all duties and responsibilities required of the position.

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

Skilled at breaking down regression modeling, data visualization design, and optimization problem ... Our platform is designed to match students with the right tutors, fostering better outcomes and a ...

... and visualization in Power BI. Guides students through connecting to data sources, cleaning data with Power Query, building relational data models, creating DAX measures, designing interactive ...

Designing for usability Identify the requirements to ensure end-to-end service performance from the ... Data analysis (bonus) Proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power ...

Showing results 21-40

Data Visualization Designer information

See Columbus, OH salary details

$30

$62

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How much do data visualization designer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data visualization designer in Columbus, OH is $62.66, according to ZipRecruiter salary data. Most workers in this role earn between $57.36 and $69.18 per hour, depending on experience, location, and employer.

What is a data visualization designer?

A Data Visualization Designer is responsible for transforming complex data into clear, engaging, and visually impactful graphics. They use design principles and data analysis skills to create charts, dashboards, and interactive visuals that help stakeholders interpret information effectively. This role requires a combination of expertise in data storytelling, graphic design, and tools like Tableau, Power BI, or D3.js. Their work supports decision-making by making trends, correlations, and insights more accessible.

What are the key skills and qualifications needed to thrive as a data visualization designer?

To thrive as a Data Visualization Designer, you need strong analytical abilities, expertise in design principles, and proficiency with data interpretation, typically supported by a degree in graphic design, data science, or a related field. Familiarity with tools such as Tableau, Power BI, D3.js, Adobe Creative Suite, and knowledge of programming languages like Python or R is often required, as are certifications in data visualization or UX/UI design. Excellent communication, collaboration, and creative problem-solving skills help you effectively translate complex data into compelling visual stories and work well with cross-functional teams. These competencies enable a Data Visualization Designer to create clear, impactful visuals that drive informed decision-making and support organizational goals.

What are the most common challenges data visualization designers face in their day-to-day work?

Data Visualization Designers often encounter the challenge of simplifying complex datasets into visuals that are both accurate and easy for diverse audiences to understand. Balancing aesthetic design with clarity and data integrity is a key part of the role, as is ensuring accessibility for all users. Collaboration with data analysts, subject matter experts, and stakeholders may also present challenges in aligning on project goals and requirements. Overcoming these obstacles requires adaptability, a strong understanding of the audience, and continuous learning of new visualization techniques and tools.

What are popular job titles related to Data Visualization Designer jobs in Columbus, OH?

For Data Visualization Designer jobs in Columbus, OH, the most frequently searched job titles are:

What job categories do people searching Data Visualization Designer jobs in Columbus, OH look for?

The top searched job categories for Data Visualization Designer jobs in Columbus, OH are:

Infographic showing various Data Visualization Designer job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,339 per year, or $62.7 per hour.

Data Scientist Vice President - Consumer Bank Marketing Analytics

JPMorgan Chase & Co

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 25 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description


Are you a data scientist who thrives at the intersection of advanced analytics, business strategy, and measurable impact? At JPMorganChase, we believe the best insights don't just inform decisions - they transform them. Join a team where your work helps shape how we acquire and retain customers, and where you can grow your career alongside the impact you create.

As a Vice President, Marketing Analytics Data Scientist at JPMorganChase within Consumer and Community Banking Data and Analytics, you will lead analytics that quantify marketing effectiveness, optimize multimillion-dollar investment decisions, and influence campaign strategy through rigorous statistical evaluation. You will partner closely with marketing, strategy, and finance stakeholders to translate results into clear recommendations that improve customer and business outcomes.

Job responsibilities

  • Analyze customer quality metrics, including customer lifetime value (CLV) and incrementality, to inform return on investment-based portfolio optimization
  • Lead matched market and geographic A/B tests by designing the testing approach, running analyses, and delivering recommendations on marketing effectiveness
  • Develop and maintain customer lifetime value and discounted cash flow (DCF) frameworks to evaluate different customer acquisition segment types
  • Translate analytical findings into clear, actionable business recommendations and decision-ready narratives
  • Partner with finance on budgeting, forecasting, and cost-benefit analyses for marketing initiatives
  • Collaborate across marketing analytics, test design, strategy, and finance teams while championing an inclusive, high-performing culture
  • Present results, tradeoffs, and recommendations to senior leaders with clarity and precision
  • Provide leadership and mentorship to junior data scientists, promoting rigor, high standards, and continuous learning

Required qualifications, capabilities and skills

  • Formal training or certification on data science concepts and 5+ years applied experience
  • Bachelor's and Master's degree in a quantitative discipline such as data science, analytics, mathematics, statistics, physics, engineering, economics, finance, or a related field
  • 5+ years of experience applying statistical methods to real-world business problems
  • 5+ years of hands-on experience with SQL and at least one analytical programming language (Python or R)
  • Experience supporting finance workstreams, including budgeting, forecasting, and return on investment and cost-benefit evaluation
  • Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
  • Demonstrated experience using AI-assisted development tools to accelerate analysis and code development
  • Experience with data visualization for analysis and executive-level presentations
  • Strong written and verbal communication skills, including the ability to present complex findings concisely to senior stakeholders

Preferred qualifications, capabilities and skills

  • Experience in marketing analytics, ideally within consumer banking, deposits, or financial services
  • Proficiency with Tableau or comparable business intelligence and visualization platforms
  • Demonstrated ability to operate independently on unstructured problems while maintaining strong stakeholder alignment
  • Strong organizational skills with the ability to manage and prioritize multiple workstreams simultaneously
  • Proven ability to build trusted relationships with senior stakeholders and translate business goals into analytical frameworks

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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