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Retail Analytics Jobs (NOW HIRING)

Parker's Kitchen

Retail Business Analyst

Savannah, GA · On-site

The Retail Business Analyst is a key strategic partner to leadership -- transforming complex retail ... Lead analytics on loyalty program performance, including member segmentation, retention modeling ...

Kraft Heinz Company

Sr. Manager Retail Space Intelligence

$18.25 - $24/hr

About the Role We are seeking a Senior Manager, Retail Space Intelligence to lead the development ... Analyze shelf flow, brand blocks, facings, strike zone placement, and shelf availability to ...

Parker's Kitchen

Retail Business Analyst

Savannah, GA · On-site

The Retail Business Analyst is a key strategic partner to leadership - transforming complex retail ... Lead analytics on loyalty program performance, including member segmentation, retention modeling ...

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Retail Analytics information

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$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.
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Retail Analytics jobs near you
Manager, Data - Retail & eCommerce Analytics

Manager, Data - Retail & eCommerce Analytics

a.k.a. Brands

Mundelein, IL • On-site

Other

Posted 3 days ago

Job description

Overview

a.k.a. Brands is seeking a Manager, Data - Retail & eCommerce Analytics to join our growing Data & Analytics team. In this role, you’ll leverage data to uncover insights that drive strategy and decision-making across our portfolio of next-generation fashion brands.

You’ll partner closely with teams in Merchandising, Planning, Marketing, Finance, and Operations to analyze performance across digital and retail channels.

The ideal candidate combines strong technical skills with business acumen and a passion for retail and fashion. You’re a self-starter who thrives on solving complex problems, optimizing performance, and transforming data into clear, actionable insights that create measurable business impact.


Key Responsibilities

  • Conduct advanced analyses on sales, inventory, pricing, and customer performance across DTC and retail channels to identify trends and opportunities.
  • Partner cross-functionally to deliver insights that support forecasting, planning, and strategic decision-making.
  • Lead deep-dive analyses into brand, channel, and customer behavior to uncover growth and efficiency opportunities.
  • Collaborate with the data engineering team to develop new metrics, data streams, and data structures that enhance data accessibility and reporting capabilities.
  • Collaborate with data engineering to enhance data quality, streamline pipelines, and build scalable data models that improve access and reliability.
  • Develop and maintain dashboards, visualizations, and reports (Tableau or similar) to track key business metrics.
  • Ensure accuracy, consistency, and governance of data across analytics and reporting systems.
  • Translate complex data findings into concise, business-friendly presentations and recommendations for stakeholders.
  • Support continuous improvement of analytical frameworks, metrics, and processes across the organization.


Qualifications

  • Bachelor’s degree in Data Analytics, Business, Economics, Statistics, or a related field.
  • 4–7+ years of experience in data or business analytics, ideally in retail, fashion, or consumer goods.
  • Strong proficiency in SQL, Excel/Google Sheets, and at least one BI tool (Tableau strongly preferred).
  • Deep understanding of retail and eCommerce performance metrics (sales, conversion, inventory, margin, customer segmentation).
  • Excellent storytelling and communication skills — able to distill data into clear insights and influence decisions.
  • Experience working with omnichannel data from platforms such as Shopify, NetSuite, or similar systems is a plus.
  • Detail-oriented with strong problem-solving skills and the ability to work independently in a fast-paced environment.


Location

Hybrid in San Francisco or fully remote.

Apply