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Retail Analytics Jobs (NOW HIRING)

Bayer Inc.

Sr Mgr, Retail Media Analytics

Whippany, NJ · On-site

As Senior Manager, Retail Analytics, you will lead high-impact analytics initiatives that connect retail media performance to broader media, commercial, and business outcomes. This senior individual ...

Dollartree

Manager Reporting And Analytics

Chesapeake, VA · On-site

$125K - $141K/yr

Strong retail analytics experience, including analysis of sales, shrink, inventory, labor, productivity, customer behavior, store performance, and operational KPIs * Ability to convert data into ...

Bayer

Sr Mgr, Retail Media Analytics

Whippany, NJ

As Senior Manager, Retail Analytics, you will lead high-impact analytics initiatives that connect retail media performance to broader media, commercial, and business outcomes. This senior individual ...

Bayer

Sr Mgr, Retail Media Analytics

Whippany, NJ

As Senior Manager, Retail Analytics, you will lead high-impact analytics initiatives that connect retail media performance to broader media, commercial, and business outcomes. This senior individual ...

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Showing results 41-60

All JobsRetail Analytics Jobs

Retail Analytics information

See salary details

$60K

$92.9K

$122.5K

How much do retail analytics jobs pay per year?

As of Aug 8, 2026, the average yearly pay for retail analytics in the United States is $92,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $110,500.00 per year, depending on experience, location, and employer.

What does a retail analytics do?

A retail analytics professional analyzes sales data, customer behavior, and inventory trends to help retailers optimize operations and improve sales performance. They use tools like Excel, SQL, and data visualization software to identify patterns and support decision-making. Strong analytical skills and understanding of retail environments are essential for this role.

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 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.

More about Retail Analytics jobs
What cities are hiring for Retail Analytics jobs? Cities with the most Retail Analytics job openings:
What are the most commonly searched types of Retail Analytics jobs? The most popular types of Retail Analytics jobs are:
What states have the most Retail Analytics jobs? States with the most job openings for Retail Analytics jobs include:
What job categories do people searching Retail Analytics jobs look for? The top searched job categories for Retail Analytics jobs are:
Retail Analytics jobs near you
Infographic showing various Retail Analytics job openings in the United States as of August 2026, with employment types broken down into 64% Full Time, 34% Part Time, 1% Temporary, and 1% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $92,875 per year, or $44.7 per hour.

Retail Analytics & Market Intelligence Training Specialist

Novalis US, LLC

Dalton, GA • Remote

Full-time

Posted 4 days ago

Job description

The Retail Analytics amp; Market Intelligence Training Specialist serves as a critical link between market insights, retail execution, customer education, and business strategy. This role is responsible for gathering and analyzing market intelligence, identifying competitive trends, developing executive-level reporting, and delivering impactful training programs that support sales growth and product adoption.
Working closely with Strategic Accounts, Marketing, Sales, Customer Support, Technical Services, and Product Management teams, this position provides actionable insights that influence business decisions while ensuring retail partners are equipped with the knowledge and tools necessary to successfully represent our products.
The ideal candidate is highly analytical, naturally curious, comfortable presenting to large audiences, and passionate about transforming data and market observations into meaningful business recommendations.
Key Responsibilities
Market Intelligence amp; Competitive Analysis
  • Collect, analyze, and report market intelligence from retail locations, competitive channels, industry trends, and customer interactions.
  • Conduct competitive retail audits, pricing reviews, merchandising evaluations, and product placement assessments.
  • Monitor market dynamics, product launches, assortment changes, and retail stocking strategies.
  • Identify emerging trends, opportunities, and risks impacting our products and its customers.
  • Develop executive-level summaries and actionable recommendations for leadership teams.
  • Maintain ongoing analysis of competitive products, promotional activity, and retail performance metrics.
Data Analytics amp; Business Reporting
  • Analyze sales, market, and customer data to identify growth opportunities and business insights.
  • Develop weekly, monthly, and quarterly reports highlighting key performance indicators, market trends, and strategic recommendations.
  • Create executive dashboards and presentations that translate complex data into clear business insights.
  • Support strategic decision-making through fact-based analysis and reporting.
  • Utilize advanced Excel and modern AI-enabled tools to improve efficiency, reporting accuracy, and insight generation.
Retail Training amp; Product Enablement
  • Design and deliver engaging product training programs for retail associates, management teams, and strategic partners.
  • Support product launches through in-store training, virtual presentations, and field engagement activities.
  • Create excitement and confidence around our products within retail environments.
  • Ensure retail teams understand product features, benefits, installation considerations, and selling strategies.
  • Develop innovative learning approaches that improve knowledge retention and sales effectiveness.
  • Serve as a subject matter expert for our products and flooring industry trends.
Retail Execution amp; Relationship Management
  • Build and maintain strong relationships with retail store associates, management teams, and key account stakeholders.
  • Conduct regular store visits to assess merchandising, displays, inventory positioning, and training effectiveness.
  • Maintain accurate records, contacts, field observations, and account activity.
  • Partner with Strategic Account Managers to ensure execution aligns with broader business objectives.
  • Support product line reviews, merchandising updates, and in-store display initiatives.
  • Provide ongoing support and consultation to retail partners to drive sales performance and customer satisfaction.
Cross-Functional Collaboration
  • Collaborate with Marketing to develop targeted training materials, content, and communication strategies.
  • Partner with Customer Support, Technical Services, Claims, Product Development, and Sales teams to resolve issues and improve customer experiences.
  • Share field insights that influence future product development, marketing initiatives, and business strategies.
  • Support trade shows, industry events, customer meetings, and strategic projects as needed.
Qualifications
Required
  • Bachelor's degree in Business, Marketing, Communications, Analytics, Sales, or a related field; or equivalent professional experience.
  • Strong analytical and problem-solving capabilities.
  • Excellent presentation, communication, and facilitation skills.
  • Experience creating executive summaries, reports, and business presentations.
  • Proficiency in Microsoft Excel and data analysis tools.
  • Familiarity with modern AI productivity platforms such as ChatGPT, Gemini, Claude, or similar technologies.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Willingness to travel extensively throughout the United States.
Preferred
  • Experience within flooring, building products, home improvement, retail, or related industries.
  • Experience conducting market research, competitive intelligence, or field analytics.
  • Experience delivering training programs in retail, sales, or customer-facing environments.
  • Knowledge of merchandising, retail operations, and strategic account management.
  • Experience presenting to large audiences both virtually and in person.

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