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Data Visualization Analyst Jobs in Ohio (NOW HIRING)

Data Analyst

Mason, OH · On-site +1

They work with large datasets, employing statistical methods, data visualization techniques, and machine learning tools to uncover actionable insights. Data Analysts play a crucial role in helping ...

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Experience with data visualization tools (e.g., Tableau, Power BI). * Strong SQL skills and ...

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Data Visualization Analyst information

See Ohio salary details

$32.3K

$78.6K

$129.3K

How much do data visualization analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for data visualization analyst in Ohio is $78,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $92,200.00 per year, depending on experience, location, and employer.

What is a Data Visualization Analyst job?

A Data Visualization Analyst is responsible for transforming complex data sets into clear, engaging visual representations that help stakeholders make data-driven decisions. They use tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn) to create charts, graphs, and dashboards. Their role combines data analysis, storytelling, and design principles to present insights effectively. They collaborate with data scientists, business analysts, and decision-makers to ensure data is accurately represented and actionable.

What are the key skills and qualifications needed to thrive in the Data Visualization Analyst position, and why are they important?

To thrive as a Data Visualization Analyst, you need strong analytical skills, experience in data interpretation, and a relevant degree in fields such as statistics, computer science, or information systems. Proficiency with visualization tools like Tableau, Power BI, or D3.js, as well as knowledge of SQL and Excel, is highly valued, and certifications in these platforms can enhance your qualifications. Excellent communication, attention to detail, and a collaborative mindset help you translate complex data into meaningful visual stories for stakeholders. These abilities are essential to ensure data-driven decisions are clearly understood and actionable across various departments.

What are the typical daily responsibilities of a Data Visualization Analyst?

As a Data Visualization Analyst, your day typically involves collecting, cleaning, and organizing data from various sources, followed by designing and creating dashboards or reports that convey insights to both technical and non-technical stakeholders. You’ll collaborate closely with data engineers, business analysts, and department leaders to understand their needs and tailor visualizations accordingly. Regularly, you will review and update dashboards to ensure data accuracy and relevancy, and may also provide training or support to colleagues on interpreting and using visual tools. This role offers a dynamic work environment where problem-solving and creativity are key to turning complex datasets into clear, actionable information.

What are the most commonly searched types of Data Visualization Analyst jobs in Ohio? The most popular types of Data Visualization Analyst jobs in Ohio are:
What cities in Ohio are hiring for Data Visualization Analyst jobs? Cities in Ohio with the most Data Visualization Analyst job openings:
Infographic showing various Data Visualization Analyst job openings in Ohio as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 6% Hybrid, and 8% Remote job distribution, with an average salary of $78,566 per year, or $37.8 per hour.
Data Visualization Manager, Vice President

Data Visualization Manager, Vice President

J.P. Morgan

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 21 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Have an opportunity to redefine how a major Finance organization makes decisions - and grow your career while you do it. You will combine best-in-class business intelligence with applied artificial intelligence to deliver insights that reach the most senior leaders. You will move the team beyond static dashboards toward natural-language, decision-ready experiences. This is a high-visibility, high-autonomy role for a hands-on technical leader who wants to set standards and build something durable. It begins as a senior individual contributor position and is designed to grow into formal people leadership as the portfolio scales.

As a Data Visualization Manager, Vice President on the Wealth Management Finance Data & Insights team, you will deliver executive-grade insights and artificial-intelligence-enabled experiences that help our most senior Finance leaders make faster, higher-confidence decisions. You will own the full lifecycle of our visualization and conversational analytics products from framing the problem and modeling the data to designing the experience, deploying it, and driving adoption. You will build guided self-service and natural-language tools that let leaders explore performance drivers, scenarios, and risk-and-return trade-offs in plain language. You will partner closely with Finance, Product, Data Engineering, and platform teams to keep everything secure, compliant, and production-grade. Most importantly, you will translate leadership questions into trusted data products and high-performing experiences. You will modernize the team's analytics delivery, partnering across Finance, Product, Data Engineering, and platform teams to ensure solutions are secure, compliant, and production-grade. You will personally drive the technical translation from leadership questions into governed data products and performant experiences.

Job Responsibilities

  • Influence the analytics product portfolio for Wealth Management Finance, including roadmap, backlog, prioritization, and value delivery.
  • Design and deliver executive-grade dashboards and narratives in ThoughtSpot, Databricks, and Tableau, aligned to governed metrics and finance definitions.
  • Build artificial-intelligence-enabled conversational analytics using Databricks Genie and ThoughtSpot Spotter, including interaction design, evaluation, and monitoring.
  • Partner with Data Engineering to ensure data quality, timeliness, lineage, and scalable architecture, validating semantic models and metric logic hands-on.
  • Implement controls suited to a regulated environment, including access controls, privacy-by-design, and alignment to model, data, and operational risk expectations.
  • Drive adoption through enablement, training, documentation, and measurable usage tracking with clear leadership feedback loops.
  • Provide strong executive presence in senior Finance forums, framing insights, drivers, and recommended actions concisely.
  • Establish technical and delivery standards and mentor analysts and visualization specialists through structured coaching and review.

Required qualifications, capabilities, and skills:

  • Experience delivering data solutions and analytics for Finance stakeholders.
  • Demonstrated production delivery in Tableau and/or ThoughtSpot, including dashboard design and metric architecture.
  • Hands-on experience with the Databricks platform, including contributing to technical design discussions on semantic modeling and performance.
  • Advanced SQL skills and the ability to validate datasets and logic end-to-end.
  • Demonstrated ability to translate business questions into analytical products, including requirements definition and acceptance criteria.
  • Experience building and maintaining a backlog independently based on stakeholder needs.
  • Demonstrated experience setting quality standards and mentoring analysts.
  • Demonstrated risk and control practices in a regulated environment, including data access governance and change management for reporting.

Preferred qualifications, capabilities, and skills:

  • Experience building or product-managing conversational analytics or natural-language query experiences, including quality evaluation and guardrails.
  • Experience with Databricks Genie and/or ThoughtSpot Spotter to enable governed self-service.
  • Proficiency with Alteryx for workflow automation and repeatable data preparation.
  • Wealth Management finance domain knowledge (profitability drivers, advisor metrics, client flows, assets under management, pricing/fees, and forecasting).
  • Experience establishing analytics governance, such as metric-definition standards, release management, and adoption measurement.
  • Familiarity with model risk management and artificial-intelligence governance in regulated environments.
  • Prior formal people-management experience (hiring, performance management, and team development).

ABOUT US

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

ABOUT THE TEAM

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.