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Retail Analytics Jobs in Ohio (NOW HIRING)

Experience in consumer financial services, credit card payments, retail, fintech or consulting with a consumer data analytics focus. * Advanced degree in a quantitative field or MBA with Systems and ...

Experience in consumer financial services, credit card payments, retail, fintech or consulting with a consumer data analytics focus. * Advanced degree in a quantitative field or MBA with Systems and ...

Retail Business Analyst Work Location: Columbus, OH Duration: Long Term * 12+ Yrs of Experience in Retail Banking Domain across Product/IT Service organisations. * Minimum 8+ yrs of Business and ...

... retails, consulting, etc. * Substantial analytical experience in healthcare industry preferred. * Advanced expertise with Databricks or equivalent analytical tools and comprehensive experience with ...

Advanced Analytics Consultant

Cincinnati, OH ยท On-site

$111K - $200K/yr

... retails, consulting, etc. * Substantial analytical experience in healthcare industry preferred. * Advanced expertise with Databricks or equivalent analytical tools and comprehensive experience with ...

Advanced Analytics Consultant

Mason, OH ยท On-site

$111K - $200K/yr

... retails, consulting, etc. * Substantial analytical experience in healthcare industry preferred. * Advanced expertise with Databricks or equivalent analytical tools and comprehensive experience with ...

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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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst, as the role values skills in data analysis, programming, and statistical tools that can be learned at any age. Many professionals transition into data analysis later in their careers by acquiring relevant certifications and gaining experience with tools like Excel, SQL, and Python.

What does a retail data analyst do?

A retail data analyst collects, analyzes, and interprets sales, customer, and inventory data to identify trends and support business decisions. They use tools like Excel, SQL, and data visualization software to generate reports and provide insights that help improve sales performance and operational efficiency.

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.

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 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.

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.

Infographic showing various Retail Analytics job openings in Ohio as of July 2026, with employment types broken down into 1% Internship, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Retail Analytics & Forecasting Manager

Retail Analytics & Forecasting Manager

Jenis Splendid Ice Creams LLC.

Columbus, OH โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Jeniโ€™s is looking for a highly analytical and detail-oriented Retail Analytics & Forecasting Manager to join our Supply Chain team. This role is responsible for leading the forecasting and demand planning process across all of our channels, Retail (Grocery, Natural, Mass, etc.), DTC and Scoop Shops. While also supporting ice cream allocations to our Scoop Shops.


OUR COMPANY: Jeniโ€™s Splendid Ice Creams is a modern American ice cream company dedicated to making better ice creams and bringing people together. Founded in 2002 by James Beard Award-winning ice cream maker Jeni Brittonโ€”who introduced a modern, ingredient-driven style of ice cream making that revolutionized the industry, forever changing the way ice cream is madeโ€”Jeniโ€™s has emerged over the past two decades as the new standard by which all other ice creams are judged. Today, the creative-led, community-spirited company is a certified B Corporation with 80 scoop shops (and counting), an online shop with nationwide shipping at jenis.com, and distribution in top grocery stores across the country.

OUR MISSION: Team Jeni's is a nationwide team of people who bring their talent, hustle, guts, resilience and empathy (lots of heart, too) to making better ice creams and bringing people together. Working at Jeni's means devotion to service. Serving by caring about ourselves, each other, our communities, ice creams and customers. We are a force for good!

This position requires both the art and science of forecastingโ€”blending data, intuition, and cross-functional collaboration to drive accurate demand plans in a fast-paced, high-growth environment. This is not a purely system-driven role; success requires strong business judgment, an understanding of trade dynamics, and the ability to continuously refine forecasts based on real-world performance.


The ideal candidate is data-driven, insights-obsessed, and a highly collaborative problem solver. This is a critical cross-functional role working closely with Supply Chain, Sales, and Finance. The right person will be able to clearly communicate insights, challenge assumptions, and build strong, data-backed support for decisions.


A background in Consumer Packaged Goods (CPG) is preferred, along with a strong working knowledge of allocation and S&OP processes is required.

The Retail Analytics & Forecasting Manager responsibilities will include:

  • Formalize and Lead a monthly S&OP Process that will create consensus on a forecast and trade planning with our Sales team

  • Have a working knowledge of Demand Forecasting with the ability to translate it into the Modus System

  • Directly manage the relationship with our system provider (Modus). This includes the maintenance of Modus (ie. Seasonality inputs, pricing changes, etc.), being the expert on the tool and teaching others best practices

  • Develop reporting tools

  • Partner with Sales to assess trade effectiveness, optimize customer plans, and inform future strategy. Make recommendations and ask questions

  • Support annual planning processes with bottoms-up customer analysis and scenario modeling

  • Identify learning opportunities as shipments actualize with the goal of a more accurate forecast

  • Partner to support Ice Cream Allocations

The ideal candidate will have:

  • Bachelorโ€™s degree in business, finance, statistics, data analytics, or supply chain or similar work experience

  • 3-5 years of demand forecasting experience

  • Experience in or comfort with fast-paced, high-growth companies

  • Understanding of retail and trade math, including pricing structures (ie. EDLC, OI, MCB).

  • Understanding of path to distribution through various methods ie. Direct ship to store, direct to retailers, through distributor networks (DSD and Cross Dock).

  • Consumer Packaged Good industry knowledge; Knowledge of syndicated data tools (Spins, Nielsen, IRI).

  • Strong analytical/problem solving skills - ability to analyze and process data as well as communicate a clear, compelling story from that data.

  • Skill proficiency in Excel, a continuous improvement orientation, and the ability to enhance current processes

  • Modus or other trade and sales forecasting software experience

  • Intellectually curious and highly detail-oriented. A self-starter with a strong sense of ownership

  • Outgoing, positive, collaborate with a strong sense of partnership interpersonal style

  • Exhibits Jeniโ€™s Core Values of: Talent, Hustle, Guts, Resilience and Empathy


The position is eligible for the following benefits:

  • Competitive compensation

  • Excellent insurance (health, dental, vision)

  • Paid time off, including sick, vacation, and holiday pay

  • 401k participation and 4% match on 401k contributions after 3 months of employment

  • A one-month paid sabbatical after 3 years of continuous service

  • Annual paid day to volunteer for a non-profit organization that matters to you

  • 50% discount at Jeniโ€™s Scoop Shops and online


Jeni's is an equal opportunity employer. Said our way, we love and honor differences, and we love sharing common values such as talent, hustle, guts, resilience, and empathy. Our differences are a primary source of our team's strength and we crave having a team rich with diversity which is creativity and art in its human form.