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Retail Analytics Jobs in Ohio (NOW HIRING)

Relevant category experience in healthcare, restaurant, food, retail, and/or CPG is helpful, along with openness to working in the tobacco industry. * Track record owning day-to-day analytics on ...

Relevant category experience in healthcare, restaurant, food, retail, and/or CPG is helpful, along with openness to working in the tobacco industry.Track record owning day-to-day analytics on ...

Relevant category experience in healthcare, restaurant, food, retail, and/or CPG is helpful, along with openness to working in the tobacco industry. * Track record owning day-to-day analytics on ...

New

Liquidation Specialist

Columbus, OH ยท On-site

$17 - $21.50/hr

Build and maintain relationships with liquidators, wholesalers, manufacturers, distributors, and retailers. * Analyze inventory lots for quality, resale potential, market demand, and margin ...

Liquidation Specialist

Columbus, OH ยท On-site

$17 - $21.50/hr

Build and maintain relationships with liquidators, wholesalers, manufacturers, distributors, and retailers. * Analyze inventory lots for quality, resale potential, market demand, and margin ...

Liquidation Specialist

Columbus, OH ยท On-site

$17 - $21.50/hr

Build and maintain relationships with liquidators, wholesalers, manufacturers, distributors, and retailers. * Analyze inventory lots for quality, resale potential, market demand, and margin ...

Home Savers Analysts will be responsible for duties related to the modification of Mortgage Loans. The selected individual will also be responsible for managing an assigned pipeline working with the ...

QA Analyst

Solon, OH ยท On-site

About Us OLR is an award-winning Oracle Retail Partner with over 20 years of experience delivering ... The Role The QA Analyst plays a key role in ensuring the quality, reliability, and performance of ...

Showing results 21-40

Retail Analytics information

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 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 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 does a retail analyst do?

A retail analyst examines sales data, customer trends, and inventory levels to help retail businesses improve performance and profitability. They use tools like Excel and data analysis software to identify patterns and support decision-making, often working closely with marketing and operations teams.

What does a retail analytics do?

A retail analyst uses data analysis to evaluate sales trends, customer behavior, and inventory performance to help retail businesses improve sales and operational efficiency. They often work with tools like Excel, SQL, and data visualization software to interpret large datasets and support decision-making. Strong analytical skills and understanding of retail operations are essential for this role.

What is retail analytics?

Retail analytics is the process used by retail professionals to analyze data related to customer behavior, sales, inventory, and store operations. It involves using tools like data visualization and statistical analysis to improve decision-making, optimize sales strategies, and enhance customer experience.
Infographic showing various Retail Analytics job openings in Ohio as of August 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Analytics Lead

The Directions Group

Cincinnati, OH โ€ข On-site

Full-time

Posted 5 days ago


Job description

Client Service - Analytics Lead The Directions Group | Strategic Insights Firm
Location: Cincinnati, OH (Hybrid) or Remote (US)
The Directions Group is redefining how insights power client decisions, shifting from one-off research projects to a connected intelligence engine that actively shapes strategy. Within this model, our client service "pods" blend relationship leadership, synthesis, analytics, and flawless execution into a single, integrated team.
Every client-facing pod at The Directions Group is built around four distinct yet tightly connected roles, all operating with shared ownership for client success and intelligence quality.
  • Analytics Lead (AL): Serves as the chief data explorer, defining data needs, leading analytic planning and execution, and creating visualizations and findings that fuel the broader narrative.
  • Client Relationship Lead (CRL): Owns the client business relationship from first conversation through final delivery, ensuring every engagement is designed around what the client truly needs - not just what was initially requested.
  • Intelligence Lead (IL): Acts as the synthesis and storytelling engine, integrating findings across methods and projects to create an integrated intelligence story that makes the "so what / now what" unmistakably clear.
  • Logistics Lead (LL): Functions as the operational backbone, orchestrating timelines, partners, and workflows so work happens at the right time, in the right way, with the right quality.

Pods operate with flexibility, so while each person leads from their lane, team members may periodically flex into adjacent responsibilities to maintain a seamless client experience.
As an Analytics Lead, you will be the hands-on insights partner who turns data into clear, actionable stories and "now what" recommendations. You will design and lead modern, AI-enabled analytic approaches, connect multiple data sources, and partner closely with Intelligence and Client Relationship Leads to shape client-ready narratives.
You'll thrive in this role if you have:
  • At least 5 years of experience in market research, insights, analytics, strategy, marketing, or a related field.
  • Relevant category experience in healthcare, restaurant, food, retail, and/or CPG is helpful, along with openness to working in the tobacco industry.
  • Track record owning day-to-day analytics on projects and playing an active role in client-facing deliverables and discussions.
  • Strong communicator and natural storyteller who enjoys client interaction, asks smart questions in the moment, and brings an emerging consultative presence that challenges constructively and thinks like an owner of the business problem.
  • Fluency with core research methods including strong command of quantitative methods (tracking, segmentation, concept/product tests, and selected advanced techniques) and comfort working across multiple data sources.
  • Proficiency in Excel, dashboards or crosstab tools, and presentation platforms, plus curiosity and aptitude for AI-enabled tools for data prep, text analytics, and visualization.
  • Growth mindset, critical thinking, and the ability to operate calmly and effectively across multiple projects in a fast-moving environment.

Directions is an Equal Opportunity Employer (EEO), including disability/vets