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Retail Analytics Manager Jobs in Utah (NOW HIRING)

Strong organizational skills with the ability to manage multiple priorities in a fast-paced ... Experience with Omni or similar retail analytics platforms. * Experience with Python and/or SQL.

Strong organizational skills with the ability to manage multiple priorities in a fast-paced ... Experience with Omni or similar retail analytics platforms. * Experience with Python and/or SQL.

Strong organizational skills with the ability to manage multiple priorities in a fast-paced ... Experience with Omni or similar retail analytics platforms. * Experience with Python and/or SQL.

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 ...

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 ...

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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 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 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 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:

What job categories do people searching Retail Analytics Manager jobs in Utah look for?

The top searched job categories for Retail Analytics Manager jobs in Utah are:

What cities in Utah are hiring for Retail Analytics Manager jobs?

Cities in Utah with the most Retail Analytics Manager job openings:

Sales Forecasting Analyst

Lehi, UT


Trove Brands
Retail • 51 - 200 employees

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Great coworkers

Good employer

Uninterrupted breaks


Full-time

Re-posted 15 days ago


Job description

The Sales Forecasting Analyst plays a key role in driving business performance across Trove Brands' international accounts through accurate forecasting, data analysis, and actionable insights. This role analyzes sales trends, point-of-sale data, and market dynamics to improve forecast accuracy and support strategic decision-making. Working cross-functionally with Sales, Supply Chain, and Finance, the Sales Forecasting Analyst helps align demand forecasts with broader business and operational plans. This role is ideal for a proactive, analytical problem-solver who thrives in a fast-paced, collaborative environment.

Key Responsibilities
  • Develop and maintain accurate sales forecasts using historical sales, point-of-sale trends, market dynamics, and retailer performance data.
  • Analyze performance across products, retailers, and international accounts, translating findings into actionable business insights and recommendations.
  • Monitor forecast accuracy, identify drivers of forecast variance, and recommend adjustments to improve future performance.
  • Support promotional, seasonal, and new product launch planning by anticipating changes in demand and sales volume.
  • Partner cross-functionally with Sales, Supply Chain, and Finance to align sales forecasts with demand, inventory, and production planning.
  • Leverage data visualization, AI tools, and automation workflows to improve analytical efficiency, reporting, and business insights.
  • Support Sales representatives in building collaborative relationships with external retail merchant teams while monitoring relevant industry and market trends.
Required Qualifications
  • Bachelor's degree in Business, Data Science/Analytics, Economics, Statistics, or a related field.
  • 3+ years of experience in a retail business analyst, sales forecasting, or similar analytical role.
  • Advanced proficiency in Excel, including lookups, PivotTables, conditional functions, and data analysis.
  • Strong analytical and problem-solving skills with demonstrated ability to translate complex data into clear, actionable insights.
  • Experience with data visualization and reporting tools.
  • Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
  • Excellent written and verbal communication skills with a collaborative, customer-focused approach.
Desired Qualifications
  • Experience supporting international retail accounts or working within international sales environments.
  • Knowledge of retail industry best practices and retailer forecasting processes.
  • Experience with Omni or similar retail analytics platforms.
  • Experience with Python and/or SQL.
  • Proficiency in PowerPoint and presenting data-driven insights to stakeholders.
  • Experience leveraging AI tools, LLMs, or automation workflows to improve forecasting, analysis, or reporting.


What Trove Brands employees say

Pay

Hours and flexibility

Workplace

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