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Senior Data Visualization Jobs in Ohio (NOW HIRING)

84.51°

Senior Data Scientist (P1553)

Cincinnati, OH · On-site

Strong data visualization and business acumen skills to link analysis to business impact (grocery ... and/or retail experience is a plus). * Natural curiosity that welcomes and embraces ambiguity and ...

DPDHL

Sr Business Data Analyst

Westerville, OH

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Full development of Power BI including data visualization and back-end data model design * Clean ...

DHL

Sr Business Data Analyst

Westerville, OH · On-site

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Full development of Power BI including data visualization and back-end data model design * Clean ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81K - $102K/yr

Abacus Technology is seeking a Sr. Research/Data Analyst to support technical and acquisition ... Design, build, and communicate findings using visualization techniques. * Apply analytic techniques ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81K - $102K/yr

Overview Abacus Technology is seeking a Sr. Research/Data Analyst to support technical and ... Design, build, and communicate findings using visualization techniques. * Apply analytic techniques ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH

$81K - $102K/yr

Overview Abacus Technology is seeking a Sr. Research/Data Analyst to support technical and ... Design, build, and communicate findings using visualization techniques. * Apply analytic techniques ...

Kanak Elite Services Inc

Data Analytics Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

My name is Anjali, and I am a Sr Technical Recruiter at Kanak IT Services LLC. I am reaching out to ... We are seeking a skilled Data Visualization Developer with expertise in Spotfire and AWS Redshift ...

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Senior Data Visualization information

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

AspectSenior Data VisualizationData Analyst
Required SkillsAdvanced data visualization tools, storytelling, designData manipulation, basic visualization, statistical analysis
Work EnvironmentDesign-focused, cross-functional teamsData-focused, business intelligence teams
CertificationsData visualization tools (Tableau, Power BI)Excel, SQL, basic analytics certifications

Senior Data Visualization roles focus on creating compelling visual stories from complex data, often requiring advanced design and storytelling skills. Data Analysts perform broader data analysis, including data cleaning, statistical analysis, and reporting. While both roles work with data, Senior Data Visualization emphasizes visual communication, whereas Data Analysts focus on data interpretation and insights.

What is a Senior Data Visualization specialist?

A Senior Data Visualization specialist is an experienced professional who designs, builds, and manages advanced visual representations of data to help organizations make informed decisions. They work with complex datasets, use tools like Tableau, Power BI, or D3.js, and collaborate with data analysts, engineers, and business stakeholders. Their responsibilities often include translating data insights into clear dashboards, interactive reports, and visual stories that communicate trends, patterns, and actionable intelligence. In addition to technical skills, they often mentor junior team members and contribute to setting best practices in visualization and data storytelling.

What are some common challenges faced by Senior Data Visualization professionals when collaborating with non-technical stakeholders?

Senior Data Visualization professionals often encounter challenges when translating complex data insights into visuals that are easily understood by non-technical stakeholders. It’s crucial to balance accuracy and clarity, ensuring that visuals tell a compelling story without overwhelming the audience with technical jargon. Effective communication and active listening are key, as is iterating on visual prototypes based on stakeholder feedback. Building strong relationships with cross-functional teams helps ensure that the final product meets both business objectives and user needs.

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

To excel as a Senior Data Visualization specialist, you need expertise in data analysis, design principles, and proficiency with data visualization concepts, usually backed by a degree in data science, statistics, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and programming languages such as Python or R is commonly required. Strong communication, storytelling ability, and attention to detail are crucial soft skills for conveying complex data insights to diverse audiences. These competencies ensure that data-driven findings are accessible, actionable, and valuable to stakeholders across the organization.
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 are popular job titles related to Senior Data Visualization jobs in Ohio? For Senior Data Visualization jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Senior Data Visualization jobs in Ohio look for? The top searched job categories for Senior Data Visualization jobs in Ohio are:
What cities in Ohio are hiring for Senior Data Visualization jobs? Cities in Ohio with the most Senior Data Visualization job openings:
Senior Data Visualization jobs near you
Infographic showing various Senior Data Visualization job openings in Ohio as of June 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution.

Senior Data Scientist (P1553)

84.51°

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5-day in-office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)
You will be joining a team of data scientists operating within the PL&S at 84.51°. Our team partners across multiple portfolios, including Our Brands, Kroger Personal Finance, and the Kroger Enterprise Marketing organization, to support media strategy & execution, targeting, measurement, and enterprise level marketing initiatives.
We work closely with the Our Brands and Kroger Personal Finance teams to plan, execute and measure targeted media and deliver insights that drive growth and efficiency. The team leads the execution of brand loyalty mailers for the Big 3 Our Brands, with a focus on rewarding high-brand-loyal households that drive the greatest business value. We also collaborate with Kroger Marketing to execute and measure activations across a range of initiatives, ensuring data driven insights inform business decisions.
Our team is known for being subject matter experts of KPM processes for Kroger Model and owners of a broad set of analytical and external-facing tools. We solve complex client and customer problems by applying the most appropriate statistical and analytic approaches to answer meaningful business questions. In this role, you will be on the front lines supporting Sales and Account Management partners, while also developing deep expertise in retailer data.
You will work hands-on with large-scale retailer databases and leverage the full suite of 84.51° technical and visualization tools, including Python, SQL, Excel, Power BI, and internal platforms, to deliver timely, relevant, and actionable insights. We expect all data scientists on our team to be deeply engaged in advanced analytics and comfortable working directly with data to drive impact.
Responsibilities:
  • Lead end-to-end analytics and data science projects, managing stakeholders and delivering solutions on time, within scope, and to business objectives.
  • Develop a strong understanding of the end-to-end CRM (Our Brands Loyalty Mailer) targeting and measurement process to ensure the timely, accurate delivery of mailers and the generation of actionable insights.
  • Apply optimizations and scientific enhancements in targeting to improve customer engagement and maximize ROI.
  • Partner closely with Sales and Account Management to own the analytic relationship for OB, driving engagement and shaping analytical offerings through feedback and insight.
  • Translate complex first-party data into clear, actionable customer stories and recommendations that inform media strategy, optimization, and business decisions.
  • Drive continuous improvement through stronger measurement methodology, increased automation, and clearer data visualization that leads to more actionable insights.
  • Attain deep expertise in 84.51° and KPM data assets, measurement techniques, QA processes, and analytic capabilities, confidently applying them to internal and external business needs.
  • Collaborate across data science, product, engineering, and capabilities teams to validate new use cases, assess data quality, and support innovation.
  • Mentor and support junior data scientists through onboarding, coaching, and knowledge sharing, while championing best practices across the data science community.

Qualifications, Skills and Experience:
  • Bachelor's degree in statistics, mathematics, business analytics, economics, marketing, or related discipline.
  • 2+ years of experience in retail, ad technology, digital media, and/or advertising analytics.
  • 2+ years of experience in data science, ad technology, digital media, and/or advertising analytics.
  • 2+ years of experience in extracting insights from large databases, translating market research into actionable solutions and presenting findings and recommendations to clients.
  • 2+ years of experience using advanced algorithms, programming languages (Python, SQL), or technologies in the development of technical analytics solutions, capabilities, and ad hoc analyses.
  • Experience working cross-functionally to continuously improve existing solutions based on client feedback and validated demand.
  • Strong interpersonal and communication skills including excellent verbal, written, presentation, and consultation skills.
  • Comfortable conveying complex data science techniques and methodological approaches to less technical audiences - both internal and external.
  • Strong analytical, problem-solving and decision-making skills.
  • Strong data visualization and business acumen skills to link analysis to business impact (grocery and/or retail experience is a plus).
  • Natural curiosity that welcomes and embraces ambiguity and change, with a willingness to try new things and to fail.
  • Excellent attention to detail, organization skills and ability to work in a collaborative environment.

#LI-AB1
Pay Transparency and Benefits
  • The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
  • Below is a list of some of the benefits we offer our associates:
    • Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
    • Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
    • Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Pay Range
$98,000-$169,050 USD

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