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Retail Analytics Manager Jobs (NOW HIRING)

Brainworks Inc

Data & Analytics Manager

Los Angeles, CA · On-site

The Data & Analytics Manager will serve as the subject matter expert for the company's syndicated ... Strong understanding of consumer panel, retailer POS, and category performance data within the CPG ...

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Retail Analytics Manager information

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$60K

$92.9K

$122.5K

How much do retail analytics manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for retail analytics manager 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 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.
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Retail Analytics Manager jobs near you
Manager, Data - Retail & eCommerce Analytics

Manager, Data - Retail & eCommerce Analytics

a.k.a. Brands

Sunnyvale, CA • 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.

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