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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 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.

Associate Manager, Retail Analytics

Cresco Labs

Chicago, IL

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Cresco Labs rating

6.9

Company rating: 6.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

10th of 33 rated cannabis dispensaries

Job description

JOB SUMMARY

Cresco Labs Corporate is seeking a Sr. Data Analyst to support our Retail teams.  Within this role, you will be responsible for mining, analyzing, visualizing data and the insights it provides.  Through those insights you will support Sunnyside's retail initiatives, including analysis of customer purchase behavior, pricing, profitability, promotions, loyalty program, and competitive analysis.  The role will be highly collaborative, working across all Retail cross-functional teams (Merchandising, Marketing, Regional Operations, Commercial Strategy, Demand Planning, Finance, and IT teams.)

CORE JOB DUTIES 

  • Analyze, mine, and aggregate data from internal and external sources- drawing actional insights to present and visualize findings clearly to cross-functional partners. 
  • Build and own cross functional tools/processes that go beyond standard business reporting to optimize decision-making across multiple levels of organization.   
  • Establish relationships between retail sales performance and causal factors such as changes in pricing, assortment, and competitive activity.  Ability to synthesize and explain results to decision makers on necessary actions 
  • Provide pricing analysis and calculate ROI of retail promotions.  Make recommendations to merchants such as right breadth, depth, and frequency of promotions. 
  • Create and manage reporting analytics for the Loyalty rewards program.  Provide guidance to retail marketing on which levers should be pulled for each event goal. 
  • Assume the role of data and business expert for retail merchandising, operations, and marketing teams 
  • Use creative problem-solving skills to answer nuanced & complex business questions 
  • Support development of the forecast budget and develop Monthly customer purchase behavior decompositions in coordination with Demand Planning Team. 
  • Act as a liaison and source of truth between the business and BI team, ensuring tableau dashboards are tailored to business reporting needs. 
  • Collaborate cross-functionally with other team members to drive various initiatives forward 
  • Leverage AI tools and large language models to design automated workflows and agent-based interactions that accelerate routine analysis and surface deeper, more nuanced insights. 

REQUIRED EXPERIENCE, EDUCATION AND SKILLS  

  • 4+ years of experience in consulting, data science, quantitative marketing, merchandising, or a related data-driven field 
  • Bachelor's degree in Business, Economics, Operations (or similar) 
  • Highly proficient in Microsoft Office, advanced Excel knowledge.   
  • Familiarity with relational databases (SQL) and business intelligence tools (i.e., Tableau, Power BI) 
  • Ability to understand business operations, processes, and translate data into business insights that "tell a story" or aid decision-making 
  • Strong analytical skills with the ability to collect, organize, analyze and communicate data and information with attention to detail and accuracy 
  • Experience with sales data analytics strongly preferred 
  • Effective time management and prioritization skills.  Strong interpersonal & collaboration skills 

BENEFITS

Cresco Labs is proud to offer eligible employees a robust offering of benefits including, major medical, dental and vision insurance, a 401(K)-match program, FSA/HSA programs, LTD/STD options, life insurance and AD&D.  We also offer eligible employees paid holidays and paid time off.  Other rewards may include annual discretionary bonuses, stock options as well as participation in our employee discount program. Benefits eligibility for permanent positions may vary by full-time or part-time roles, location, or position.

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