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Retail Analytics Jobs in Ohio (NOW HIRING)

Huntington

Retail Strategy Data Analyst

Columbus, OH · Hybrid

... retail branches and ATMs. Candidate will support Distribution Strategy's efforts to develop the ... Partner with the Data & Analytics team to define and refine the strategic framework and ...

Huntington

Retail Strategy Data Analyst

Columbus, OH · Hybrid

... retail branches and ATMs. Candidate will support Distribution Strategy's efforts to develop the ... Partner with the Data & Analytics team to define and refine the strategic framework and ...

Huntington

Retail Strategy Data Analyst

Columbus, OH · Hybrid

... retail branches and ATMs. Candidate will support Distribution Strategy's efforts to develop the ... Partner with the Data & Analytics team to define and refine the strategic framework and ...

Sazerac Company

Space Planning Analyst

Cincinnati, OH · On-site +1

$92K - $138K/yr

You'll combine shopper insights, category analytics, and space planning expertise to develop recommendations that improve category performance and influence retailer decisions. This is more than ...

INCPG

Strong analytical skills and proficiency in eCommerce analytics tools (e.g., Google Analytics, Amazon Retail Analytics, etc.). * Excellent leadership and communication skills, with the ability to ...

INCPG

Strong analytical skills and proficiency in eCommerce analytics tools (e.g., Google Analytics, Amazon Retail Analytics, etc.). * Excellent leadership and communication skills, with the ability to ...

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Retail Analytics information

What are the key skills and qualifications needed to thrive in Retail Analytics, and why are they important?

To thrive in Retail Analytics, you need strong analytical skills, statistical knowledge, and a background in business, mathematics, or a related field. Proficiency with data analysis tools such as SQL, Microsoft Excel, Tableau, and statistical software like R or Python is typically required. Effective communication, problem-solving, and attention to detail are crucial soft skills for translating data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decisions that optimize sales, inventory, and customer experience in the retail industry.

What is the role of retail analytics?

Retail analytics involves analyzing data from sales, customer behavior, inventory, and store operations to improve business performance. Retail analysts use tools like data visualization and statistical software to identify trends, optimize inventory, and enhance customer experience, supporting data-driven decision-making in retail environments.

How does a Retail Analytics professional typically collaborate with other departments to drive business decisions?

Retail Analytics professionals frequently work alongside teams such as marketing, merchandising, operations, and supply chain. They gather and analyze data to uncover trends in customer behavior, sales performance, and inventory levels, then present actionable insights to support strategic planning. Effective communication and cross-functional collaboration are essential, as analytics professionals must translate complex data findings into clear recommendations that other departments can implement. This collaborative approach ensures that data-driven decisions align with overall business goals.

What is retail analytics?

Retail analytics is the process of collecting, analyzing, and interpreting data related to retail operations, customer behavior, and sales performance. It helps retailers make data-driven decisions to optimize inventory, improve customer experience, increase sales, and enhance overall business efficiency. Retail analytics involves the use of various tools and technologies to track metrics such as foot traffic, conversion rates, and product preferences, enabling retailers to better understand market trends and consumer needs.

What is the difference between Retail Analytics vs Retail Data Analyst?

AspectRetail AnalyticsRetail Data Analyst
Required CredentialsBachelor's in Business, Data Science, or related fields; experience with analytics toolsBachelor's in Statistics, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentCollaborates with marketing, sales, and operations teams to interpret dataAnalyzes sales and customer data to generate reports and insights
Employer & Industry UsageUsed by retail chains, e-commerce companies, and market research firmsCommonly employed within retail companies for data reporting and analysis

Retail Analytics focuses on interpreting large datasets to inform strategic decisions, often involving predictive modeling and advanced analytics. Retail Data Analysts primarily gather, process, and report on sales and customer data to support operational decisions. While both roles require similar skills and work environments, Retail Analytics tends to involve more strategic and predictive work, whereas Retail Data Analysts focus on data reporting and insights generation.

What are popular job titles related to Retail Analytics jobs in Ohio? For Retail Analytics jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Retail Analytics jobs in Ohio look for? The top searched job categories for Retail Analytics jobs in Ohio are:
Retail Analytics jobs near you
Infographic showing various Retail Analytics job openings in Ohio as of June 2026, with employment types broken down into 84% Full Time, 9% Part Time, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Advanced Analytics Analyst

Worthington Enterprises

Columbus, OH • On-site

Full-time

Posted 10 days ago

Worthington Enterprises rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

173rd of 417 rated machine equipment manufacturers

Job description

Job Summary:
Worthington Enterprises is a designer and manufacturer of market-leading brands that improve everyday life. They are seeking an Advanced Analytics Analyst to deliver analytics supporting commercial decision-making, particularly in Consumer Packaged Goods and retail performance insights.
Responsibilities:
• Design and build user-friendly reports, dashboards, and other decision-support tools (e.g., Power BI/Tableau) to maintain a high level of stakeholder satisfaction, including recurring CPG sales, POS, and customer performance views.
• Perform statistical analyses (descriptive, diagnostic, exploratory, correlation, regression, forecasting) to answer business questions such as sales drivers, promotion effectiveness, distribution changes, and retailer/channel trends.
• Learn the business and retail landscape to identify novel and impactful applications of Advanced Analytics, including shopper/category insights and store/channel performance.
• Support growth of Advanced Analytics and the advancement of the organization’s analytic culture by partnering with stakeholders, documenting repeatable processes, and sharing learnings and best practices.
• Other duties as assigned.
Qualifications:
Required:
• Design and build user-friendly reports, dashboards, and other decision-support tools (e.g., Power BI/Tableau) to maintain a high level of stakeholder satisfaction, including recurring CPG sales, POS, and customer performance views.
• Perform statistical analyses (descriptive, diagnostic, exploratory, correlation, regression, forecasting) to answer business questions such as sales drivers, promotion effectiveness, distribution changes, and retailer/channel trends.
• Learn the business and retail landscape to identify novel and impactful applications of Advanced Analytics, including shopper/category insights and store/channel performance.
• Support growth of Advanced Analytics and the advancement of the organization’s analytic culture by partnering with stakeholders, documenting repeatable processes, and sharing learnings and best practices.
• Interest in (or exposure to) CPG and retail analytics concepts such as POS, promotions, distribution, pricing, assortment, and channel/retailer performance.
• Ability to follow best practices and quality assurance regarding report design and user experience (clear definitions, consistent metrics, and easy-to-use dashboards).
• Foundational understanding of statistical concepts and methods.
• Ability to manage multiple requests concurrently using a defined and repeatable process, with strong attention to detail and follow-through.
• Strong communication and interpersonal skills, with demonstrated ability to work with cross-functional partners (e.g., Sales, Marketing, Category/Revenue Management, and Supply Chain).
• Ability to clearly and concisely communicate analyses, assumptions, and results to a variety of audiences; comfortable turning data into a story and recommendation.
• Strong aptitude and drive to continually learn functional areas and data sources (including POS and customer/retailer reporting) to help embed analytics into day-to-day decisions.
• Understanding of fundamental analyses and modeling techniques (e.g., time series trends, basic forecasting, driver analysis), with willingness to deepen skills over time.
• Experience (academic, project-based, or professional) with analytics tools such as Excel, SQL, Alteryx, Python, R, IBM SPSS, or SAS.
• Experience with data visualization tools (Power BI, Tableau, or similar); exposure to CPG/retail datasets (e.g., POS, customer shipment, retailer scorecards, syndicated data) is a plus.
Company:
Worthington Enterprises designs and manufactures building products and offers sustainable energy solutions. Founded in 1955, the company is headquartered in Columbus, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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