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Retail Analytics Jobs in Virginia (NOW HIRING)

... retail analytics, or similar * Strong analytical and problem-solving skills * Advanced proficiency in Microsoft Excel (e.g., pivot tables, lookups, data analysis) * Ability to create forecasts and ...

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... retail analytics, or similar * Strong analytical and problem-solving skills * Advanced proficiency in Microsoft Excel (e.g., pivot tables, lookups, data analysis) * Ability to create forecasts and ...

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Retail Analytics information

See Virginia salary details

$69

$75

$81

How much do retail analytics jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for retail analytics in Virginia is $75.81, according to ZipRecruiter salary data. Most workers in this role earn between $72.55 and $79.09 per hour, depending on experience, location, and employer.

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 is the role of retail analytics?

Retail analytics involves analyzing data from sales, customer behavior, inventory, and store operations to improve business performance. Retail analysts use tools like data visualization and statistical software to identify trends, optimize inventory, and enhance customer experience, supporting data-driven decision-making 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 of collecting, analyzing, and interpreting data related to retail operations, customer behavior, and sales performance. It helps retailers make data-driven decisions to optimize inventory, improve customer experience, increase sales, and enhance overall business efficiency. Retail analytics involves the use of various tools and technologies to track metrics such as foot traffic, conversion rates, and product preferences, enabling retailers to better understand market trends and consumer needs.

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 cities in Virginia are hiring for Retail Analytics jobs? Cities in Virginia with the most Retail Analytics job openings:
Infographic showing various Retail Analytics job openings in Virginia as of May 2026, with employment types broken down into 87% Full Time, 3% Part Time, 3% Temporary, and 7% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $157,678 per year, or $75.8 per hour.
Director Store Ops Reporting & Analytics

Director Store Ops Reporting & Analytics

Dollartree

Chesapeake, VA • On-site

Full-time

Posted 20 days ago


Dollar Tree rating

4.4

Company rating: 4.4 out of 10

Based on 2,428 frontline employees who took The Breakroom Quiz

37th of 39 rated national retailers


Job description

The Director, Store Ops Reporting & Analysis will be responsible for providing leadership focused on reporting and analysis of key operational metrics. In addition to core report development, refinement & execution, this position will also be responsible for isolating exceptions, identifying gaps and trends to ultimately provide guidance and insights on opportunities to improve company financial and store performance. The candidate will be responsible for developing, creating, and maintaining key operational metrics and reports on time & accurately on a weekly, monthly, quarterly and annual basis.Principal Duties and Responsibilities
  • Provide oversight to weekly reporting on key operational metrics for enterprise organization.
  • Analyze key data / metrics to identify trends and risks; developing mitigation solutions and recommendations
  • Provide gap analysis and insights to appropriate business owners
  • Present data in a format that is easy to understand and disseminate to all business levels
  • Provide optics and analytics on special projects for key business owners
  • Lead team of analytical thinkers to solve operational priorities through data analysis
  • Provide feedback and directional recommendations to ensure execution of business recommendations
  • Drive problem identification and resolution; lead process improvement efforts of department analytics.
  • Manage multiple resources and projects concurrently to ensure successful completion of analytic projects
  • Manage analytics team to develop predictive data models in early identification of exception opportunity stores/districts/regions
  • Accountable for the overall management of analytic projects including timelines, quality, and value
  • Develop and lead direct reports; including reviewing and approving work schedules and plans.
Minimum Requirements
  • Office work environment; 40+ work hours per week as business needs require
  • Proven ability to analyze large and complex datasets to identify trends, opportunities, risks, and operational performance drivers
  • Strong retail analytics experience, including analysis of sales, shrink, inventory, labor, productivity, customer behavior, store performance, and operational KPIs
  • Ability to convert data into clear, actionable recommendations that support operational decision-making and business strategy
  • Strong verbal, written communication, and presentation skills, with experience presenting insights to leadership and cross-functional partners
  • Demonstrated critical thinking and root-cause analysis skills, with the ability to challenge assumptions and recommend practical business solutions
  • Excellent leadership skills with prior experience supervising, coaching, and developing direct reports
  • Strong interpersonal skills with the ability to build collaborative relationships across corporate, field, and store-level teams
  • Continuous improvement mindset with experience improving reporting processes, automating recurring analysis, and creating scalable operational tools
  • Strong business acumen with a solid understanding of retail financials, operational execution, and key performance metrics
  • Ability to partner effectively with Operations, Finance, Merchandising, Loss Prevention, Supply Chain, IT, and senior leadership
Education:
  • Bachelor's degree in business, Finance, Analytics, Operations, or related field required; Master's degree in Analytics, MBA, or related advanced degree desired but not required
  • Experience: 6-8 years of related experience in retail analytics, operations analytics, business intelligence, finance, or retail operations support
  • Job Related Skills: Strong analytical, decision-making, problem-solving, prioritization, and project management skills. Must be comfortable working in a fast-paced retail environment with competing priorities and tight deadlines
  • Computer Skills: MS Office Suite required. Expert Excel skills required. Experience with
Other Technical Requirements:
  • Power BI, SQL or other query languages, large dataset management, dashboard development, data visualization, and reporting automation strongly preferred
  • Ability to act as a liaison between Operations and IT by translating operational needs into data, reporting, system, and analytics requirements; experience working with Google BigQuery, SQL, Power BI, APIs, and data from multiple internal and external sources preferred.
Full time500 Volvo Parkway,Chesapeake,Virginia 23320Workforce ManagementDollar Tree

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About Dollar Tree

Sourced by ZipRecruiter

With Dollar Tree and Family Dollar, we put value front and center for our customers. We do this by providing our customers with quality merchandise, amazing values, convenience, and a fun shopping experience. Whether you’re looking for the thrill of the hunt at Dollar Tree or shopping for your favorite brands at Family Dollar, you’re sure to find savings on a great selection of merchandise in our stores.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Chesapeake, VA, US