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Retail Analytics Jobs (NOW HIRING)

SuperbTech

Senior Retail Pricing Analyst

Orlando, FL · On-site +1

$75 - $80/hr

This role will focus on pricing strategy, retail analytics, dashboard development, and business intelligence to help drive revenue growth, margin optimization, and operational decision-making. The ...

INCPG

Retail Strategy Lead

Austin, TX · On-site

In Retail &/OR CPG consulting and seeking a role with a nimble company in the Shopper ... Experience analyzing and reporting data to identify issues, trends, or exceptions to drive ...

INCPG

Retail Strategy Lead

Austin, TX

In Retail &/OR CPG consulting and seeking a role with a nimble company in the Shopper ... Experience analyzing and reporting data to identify issues, trends, or exceptions to drive ...

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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 Jun 28, 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 is the highest paying retail job?

In retail analytics, senior roles such as Retail Analytics Director or Vice President of Retail Analytics tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, advanced skills in data analysis, and proficiency with tools like SQL, Python, or Tableau.

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 AI replacing data analysts?

Retail analytics professionals, including data analysts, use AI tools to automate data processing and generate insights more efficiently. While AI can handle routine tasks, human expertise remains essential for interpreting complex data, making strategic decisions, and developing models. Therefore, AI is augmenting rather than replacing data analysts 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 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.

What do retail analysts do?

Retail analysts examine sales data, customer trends, and inventory levels to help retail businesses optimize operations and increase profitability. They use tools like Excel and data analysis software to identify patterns and support strategic decision-making. Strong analytical skills and knowledge of retail metrics are essential for this role.
More about Retail Analytics jobs
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Retail Analytics jobs near you
Senior Retail Pricing Analyst

Senior Retail Pricing Analyst

SuperbTech

Orlando, FL • On-site, Remote

$75 - $80/hr

Contractor

Posted 25 days ago

Job description

Senior Analyst, Retail Pricing & Analytics

Location: Orlando, FL preferred, remote considered
Schedule: Monday through Friday
Employment Type: Contract

Pay Rate: $75/hr - $80/hr DOE

We are seeking a Senior Analyst, Retail Pricing & Analytics to support strategic pricing and retail performance initiatives across both e-commerce and brick-and-mortar environments. This role will focus on pricing strategy, retail analytics, dashboard development, and business intelligence to help drive revenue growth, margin optimization, and operational decision-making. 


The ideal candidate is analytical, business-minded, and comfortable translating complex retail data into actionable insights for cross-functional teams including Merchandising, Planning, Finance, and Operations.

Key Responsibilities
  • Analyze pricing performance, promotional effectiveness, markdown impact, and margin trends to identify opportunities for revenue optimization
  • Conduct retail performance analysis related to customer behavior, product lifecycle, inventory movement, and merchandising trends
  • Partner with business stakeholders to support pricing recommendations and evaluate business impact
  • Develop and maintain Tableau dashboards and reporting tools to support pricing and retail KPIs
  • Write SQL queries to extract, clean, and transform large datasets from cloud-based data environments
  • Support scalable reporting and analytics workflows that improve business visibility and decision-making
  • Collaborate with technical and business teams to deliver data-driven solutions and recommendations
  • Assist with exploratory analysis and advanced modeling initiatives related to retail performance and

Required Qualifications
  • Bachelor's degree in Finance, Economics, Mathematics, Data Analytics, Computer Science, or related field, or equivalent professional experience
  • 3+ years of experience in retail analytics, pricing analysis, merchandising analytics, or business intelligence
  • Strong understanding of retail pricing concepts including promotions, markdowns, margin drivers, and pricing strategy
  • Experience supporting retail operations across physical stores and/or e-commerce platforms
  • Intermediate to advanced SQL skills with experience working with large datasets
  • Strong Tableau or similar dashboarding and data visualization experience
  • Excellent communication skills with the ability to present analytical findings to non-technical stakeholders
  • Strong business acumen and problem-solving capabilities
Preferred Qualifications
  • Experience with Python for data analysis and reporting automation
  • Exposure to cloud-based data warehouse platforms such as Snowflake, BigQuery, or Redshift
  • Experience working in retail, consumer products, merchandising, or pricing-focused environments
  • Advanced degree in Analytics, Data Science, Economics, Mathematics, or related discipline
Additional Information
  • Orlando-based candidates are preferred, with a hybrid onsite schedule
  • Remote candidates may be considered based on experience and market availability
  • Interview process may include a technical assessment focused on analytics and reporting capabilities

If you thrive in a fast-paced retail analytics environment and enjoy turning data into strategic business insights, we'd love to connect.

Education:BA/BSEmployment Type: CONTRACTOR

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