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Retail Analytics Manager Jobs in Utah (NOW HIRING)

Utah Jazz

Technical Product Manager

Sandy, UT · On-site

$158K - $183K/yr

Lead integrations and data workflows across ticketing, mobile ordering, payments, retail, analytics ... Manage external vendors, development partners, and internal technical teams, holding partners ...

Salomon

Retail Allocator, North America

Ogden, UT

Experience in retail allocation, merchandise planning support, or inventory management * Strong analytical skills with the ability to interpret data and take action * Advanced Excel skills ...

Salomon

Retail Allocator, North America

Ogden, UT · On-site

Experience in retail allocation, merchandise planning support, or inventory management * Strong analytical skills with the ability to interpret data and take action * Advanced Excel skills ...

AT&T

Assistant Retail Store Manager

Farmington, UT · On-site

$47K - $71K/yr

With your retail knowledge and leadership abilities, you'll help oversee store operations, manage ... Well-developed planning, analytical, and problem-solving skills * Familiarity with wireless ...

Fandom

FP&A Manager

Salt Lake City, UT · Remote

Experience with using SQL, BI and analytics tools Benefits & Perks * Salary Range = 126k - 176k USD ... Fandom's Gaming division manages the online video game retailer Fanatical. Fandom Productions, the ...

QVC

Regional Retail Manager Northeast

Ballard, UT · On-site

The Regional Retail Manager supports Ballard Designs, and oversees the operations, performance, and ... analysis. * Optimizemanagement development in floor leadership, division of leadership roles, and ...

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Retail Analytics Manager information

What does a retail analytics manager do?

A Retail Analytics Manager is responsible for analyzing data related to retail sales, customer behavior, and market trends to help retailers make informed business decisions. They use data analytics tools to identify patterns, optimize inventory, improve customer experience, and increase profitability. Their work often involves collaborating with marketing, sales, and operations teams to develop strategies based on analytical insights. Ultimately, Retail Analytics Managers help retailers stay competitive by turning complex data into actionable recommendations.

How does a retail analytics manager typically collaborate with merchandising and marketing teams to drive business outcomes?

A Retail Analytics Manager works closely with merchandising and marketing teams to analyze sales trends, customer behaviors, and promotional effectiveness. By providing actionable insights and data-driven recommendations, they help these teams refine product assortments, optimize pricing strategies, and develop targeted marketing campaigns. Regular cross-functional meetings and collaborative projects are common, ensuring that analytics inform key business decisions and support overall growth objectives. This collaborative approach enables the Retail Analytics Manager to directly influence store performance and customer satisfaction.

What is the difference between Retail Analytics Manager vs Retail Data Analyst?

AspectRetail Analytics ManagerRetail Data Analyst
Required CredentialsBachelor's degree in Business, Data Science, or related field; experience in analyticsBachelor's degree in Statistics, Data Analysis, or related field; entry to mid-level experience
Work EnvironmentOversees analytics teams, collaborates with management, strategic planningFocuses on data collection, analysis, reporting; supports decision-making
Employer & Industry UsageRetail chains, e-commerce companies, supermarketsRetail stores, online retailers, supply chain firms

The Retail Analytics Manager typically leads analytics initiatives, manages teams, and develops strategic insights, while the Retail Data Analyst focuses on analyzing data sets to support operational decisions. Both roles require strong analytical skills and familiarity with retail data tools, but the manager role involves more leadership and strategic planning responsibilities.

What are the key skills and qualifications needed to thrive as a retail analytics manager, and why are they important?

A Retail Analytics Manager needs strong analytical skills, expertise in data analysis, and a background in business, statistics, or a related field, often supported by a bachelor’s or master’s degree. Proficiency in analytics tools such as SQL, Python, R, Tableau, and experience with retail data systems are typically required. Exceptional communication, problem-solving abilities, and stakeholder management help translate complex data insights into actionable business strategies. These skills ensure the effective use of data to drive sales, optimize operations, and support retail business growth.
What are popular job titles related to Retail Analytics Manager jobs in Utah? For Retail Analytics Manager jobs in Utah, the most frequently searched job titles are:
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Retail Analytics Manager jobs near you

Data Analyst, Sales and Marketing

BetterBody Foods & Nutrition, LLC

Lindon, UT

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Description

The Data Analyst transforms internal and external data into clear insights that support sales, marketing, product, and retail strategy. This role partners with teams across the company to evaluate performance, identify growth opportunities, improve reporting, and support informed decisions. 

The position uses AI tools throughout the analytical process to accelerate research, develop solutions, automate routine work, and create effective deliverables. The ideal candidate is curious, detail oriented, comfortable learning new technology, and able to translate complex information into practical recommendations. 


WHAT YOU'LL DO 

  • Analyze sales, category, retailer, marketing, and competitive performance to identify trends, risks, and growth opportunities. 
  • Gather, combine, and validate data from internal systems, syndicated data providers, distributors, retailers, ecommerce platforms, and other sources. 
  • Use Codex and other AI tools to support research, write and troubleshoot SQL or code, automate workflows, and improve reporting processes. 
  • Create dashboards, recurring reports, presentations, and ad hoc analyses that clearly communicate business performance. 
  • Support sales and strategic projects with retailer and category insights, including assortment, market share, distribution, pricing, and product velocity. 
  • Present findings and recommendations to Sales, Marketing, leadership, and other partners across the company. 
  • Review analytical work and AI generated output to ensure accuracy, sound methodology, and appropriate handling of company data. 

 Benefits

- Opportunity for Advancement

- Quarterly Bonuses

- 12 Paid Holidays plus a Floating Holiday and PTO

- Sick Days (separate from PTO)

- Employee Discounts on Product

- 401k Match

- Medical, Dental, Vision, and Life Insurance

- HSA Match

- Employee Referral Bonus

- Clean Working Environment


Requirements

 QUALIFICATIONS 

  • Bachelor's degree in Data Analytics, Business, Economics, Statistics, Information Systems, Finance, or a related field, or equivalent practical experience. 
  • Experience analyzing sales, marketing, retail, or other business data. 
  • Experience using AI tools such as Codex, ChatGPT, Microsoft Copilot, or Gemini to support analytical, technical, or research work. 
  • Strong analytical and problem solving skills, including the ability to turn an open question into a structured analysis. 
  • Proficiency in Microsoft Excel or Google Sheets. 
  • Working knowledge of SQL and experience with databases or cloud data warehouses. 
  • Experience creating clear reports, visualizations, and presentations. 
  • Strong written and verbal communication skills. 
  • Ability to collaborate across teams, manage competing priorities, and meet deadlines. 
  • A proactive approach and an interest in learning new tools, data sources, and business processes. 

PREFERRED QUALIFICATIONS 

  • Experience using Codex or similar tools to develop scripts, work with APIs, automate processes, or analyze data. 
  • Experience with CPG or retail data, including syndicated, distributor, or retailer specific sources. 
  • Experience with BigQuery, Looker Studio, Power BI, Tableau, or similar platforms. 
  • Familiarity with market share, distribution, velocity, assortment, pricing, and other retail analytics concepts. 
  • Experience creating customer facing sales presentations or data driven selling stories. 

WORK ENVIRONMENT This position is primarily performed in an office environment and requires regular computer based work. The current expectation is onsite work, with any hybrid arrangement determined by company policy and business needs.  

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