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Junior Data Visualization Jobs in Ohio (NOW HIRING)

... data visualization and analytics solutions. We empower businesses to make informed decisions by ... We are seeking a dynamic and motivated Junior Marketing Coordinator to join our innovative ...

Senior Sales Analyst

Westlake, OH · On-site

$79K - $100K/yr

... data models, datasets, and dashboards while mentoring junior team members and driving best ... Expertise in data visualization storytelling and dashboard design best practices. * Demonstrated ...

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Junior Data Visualization information

See Ohio salary details

$32.8K

$75.4K

$121.2K

How much do junior data visualization jobs pay per year?

As of Aug 9, 2026, the average yearly pay for junior data visualization in Ohio is $75,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $77,500.00 per year, depending on experience, location, and employer.

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

AspectJunior Data VisualizationData Analyst
Required SkillsBasic data visualization tools, introductory analyticsData manipulation, statistical analysis, visualization
Experience LevelEntry-level, beginnerEntry to mid-level, some experience
Work EnvironmentDesign-focused, visualization toolsBroader data analysis, reporting
Common ToolsTableau, Power BI, ExcelSQL, Excel, Tableau, R/Python

Junior Data Visualization roles focus on creating visual representations of data using basic tools, often under supervision. Data Analysts perform broader data analysis, including statistical work and reporting, with more advanced skills and experience. While both roles involve data visualization, Data Analysts typically handle more complex analysis tasks and data management.

What is a junior data visualization?

Junior Data Visualization professionals are entry-level specialists who assist in transforming raw data into graphical representations like charts, graphs, and dashboards. They typically work with tools such as Tableau, Power BI, or Excel to help organizations interpret data and make informed decisions. Their responsibilities often include preparing datasets, creating basic visualizations, and supporting more senior team members on larger projects. These roles require foundational knowledge of data analysis, visualization best practices, and sometimes basic programming skills.

What types of projects can a junior data visualization specialist expect to work on, and how do they typically collaborate with other teams?

As a Junior Data Visualization specialist, you can expect to work on projects that involve transforming raw data into clear, interactive visuals such as charts, dashboards, and infographics. These projects often support business teams in making data-driven decisions. You'll frequently collaborate with data analysts, engineers, and business stakeholders to understand data requirements and ensure your visualizations effectively communicate key insights. It's common to participate in team meetings, gather feedback, and make iterative improvements to your work. Over time, you'll gain exposure to different data tools and business domains, which can open up opportunities for advancement.

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

To thrive as a Junior Data Visualization specialist, you need a solid understanding of data analysis, basic statistics, and visual storytelling, typically supported by a degree in a quantitative field. Familiarity with tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn is often required, alongside knowledge of Excel and SQL. Strong attention to detail, creativity, and effective communication skills help you convey complex data insights clearly to diverse audiences. These abilities are crucial for transforming raw data into actionable insights that drive informed business decisions.
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 Junior Data Visualization jobs? Cities in Ohio with the most Junior Data Visualization job openings:

Vice President, Data Scientist Lead - Consumer Bank Marketing Analytics

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 8 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Join Consumer Bank Marketing Analytics to transform data into insight and improve how customers discover, open, and use our products. In this role, you will lead analytics for the digital account opening experience and partner across Product, Technology, Marketing, Customer Experience, and Risk and Compliance to shape strategy, measurement, and prioritization. You will turn complex analysis into clear, actionable recommendations for senior stakeholders and help teams make faster, better decisions.

Job summary

As a Vice President, Data Scientist Lead in Consumer Bank Marketing Analytics, you will set the analytics direction for our digital account opening journey and define how we measure success. You will evaluate experiments, strengthen measurement frameworks, and improve dashboards to drive account production and customer experience outcomes. You will communicate insights with clarity and influence, helping cross-functional teams prioritize the changes that matter most.

You will combine analytical rigor with strong storytelling and data visualization to connect performance trends to business actions. You will also apply modern automation and artificial intelligence tools to streamline delivery, improve consistency, and accelerate insights.

Job responsibilities
  • Lead analytics strategy, planning, and execution for the digital account opening experience, translating business questions into hypotheses, measurement plans, and decision-ready insights
  • Monitor platform health and performance to detect anomalies, then partner with Product and Technology to diagnose root causes and reduce impact to customers and business results
  • Measure funnel performance and segment and cohort engagement to identify abandonment points and friction, and partner across teams to improve completion rates
  • Deliver actionable analytics for product and feature launches and journey optimization, quantifying impact on account production and quality over time
  • Build and continuously improve business intelligence and measurement frameworks by defining and governing key performance indicators, standardizing metric definitions, and enhancing dashboard reliability and usability
  • Define success metrics, guardrails, and data requirements to enable consistent reporting and faster decision-making
  • Run experimentation analytics by sourcing data, sizing tests, analyzing results, and communicating recommendations to cross-functional partners and senior leaders
  • Drive advanced analytics initiatives to deepen customer and journey insights and unlock new optimization opportunities
  • Apply automation and artificial intelligence tools to streamline analyses, reduce cycle times, and accelerate insights
  • Mentor and develop junior data scientists, serving as a subject matter expert for digital account opening experiences and measurement
  • Maintain strong controls and documentation practices to support accurate, timely, and well-governed results
Required qualifications, capabilities, and skills
  • Master's degree in a quantitative discipline (for example: data science, analytics, mathematics, statistics, engineering, economics, or finance) or equivalent directly applicable experience
  • At least five years applying statistical methods to real-world problems (marketing analytics experience is a plus)
  • At least five years of experience in analytics or data science supporting customer journeys, digital products, or operational workflows
  • Experience using Adobe Analytics, Tableau, and Alteryx (or comparable tools) to define key performance indicators and build measurement frameworks, including guardrails and data quality checks
  • Experience sizing, running, and evaluating A/B experiments and clearly communicating results to business and technical audiences
  • Comfort using artificial intelligence tools (for example: GitHub Copilot, Claude Code, or Cortex) to accelerate analysis, pressure-test hypotheses, and prototype approaches
  • Ability to independently troubleshoot and resolve technical, data, and analytical problems by digging into root causes
  • Strong data visualization and storytelling skills, with a track record of turning complex analyses into clear recommendations
  • Strong stakeholder management and influencing skills, including the ability to lead through ambiguity and drive alignment across teams
  • Strong presentation skills, including building materials that deliver clear messages and support decision-making
Preferred qualifications, capabilities, and skills
  • Experience supporting digital experiences and conversion funnels
  • Experience in financial services
  • Strong analytical mindset paired with creative thinking and practical problem-solving
  • Intellectual curiosity and desire to build deep expertise in a focused domain
  • Strong communication skills and ability to build relationships with key stakeholders
  • Strong attention to detail and a commitment to measurement quality and consistency

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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