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Retail Analytics Jobs (NOW HIRING)

Senior Retail Pricing Analyst

Orlando, FL · On-site +1

$75 - $80/hr

This role will focus on pricing strategy, retail analytics, dashboard development, and business intelligence to help drive revenue growth, margin optimization, and operational decision-making. The ...

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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 Jun 28, 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 is the highest paying retail job?

In retail analytics, senior roles such as Retail Analytics Director or Vice President of Retail Analytics tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, advanced skills in data analysis, and proficiency with tools like SQL, Python, or Tableau.

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.

Is AI replacing data analysts?

Retail analytics professionals, including data analysts, use AI tools to automate data processing and generate insights more efficiently. While AI can handle routine tasks, human expertise remains essential for interpreting complex data, making strategic decisions, and developing models. Therefore, AI is augmenting rather than replacing data analysts 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 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.

What do retail analysts do?

Retail analysts examine sales data, customer trends, and inventory levels to help retail businesses optimize operations and increase profitability. They use tools like Excel and data analysis software to identify patterns and support strategic decision-making. Strong analytical skills and knowledge of retail metrics are essential for this role.
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:
Retail Analytics Manager - Grocery

Retail Analytics Manager - Grocery

Harry's

New York, NY

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago


Job description

About the Team

The Centralized Insights & Analytics (CIA) team at Mammoth Brands works cross-functionally to understand our performance within the context of all that we do - our retail & digital tactics, the marketing investments we make, and how we ultimately serve our customers. The team is focused on providing objective reporting & guidance for the Harry's, Flamingo, Lume, and Mando brands. Capabilities built by this team will meaningfully impact the business through marketing optimization, channel strategy, site optimization, selling stories, thought leadership, innovation, and overall consumer/shopper experience.

About the Role

The Retail Analytics Manager will play a critical role in our success at Retail. This multi-dimensional, customer-facing position will be responsible for managing all aspects of strategic analysis and business performance for our brands Harry's, Flamingo, Lume, and Mando. While performance reporting is important, this role will be the primary customer and internal analytic support, serving as a thought partner and storytelling both externally with merchants and internally at Mammoth Brands.

What you will accomplish:

  • Provide the primary customer and internal analytic support for our Retail business and personal care categories - inclusive of category, market, shopper, and assortment performance analysis
  • Serve as a Retail/CPG leader and data expert to peers, cross-functional and external partners - developing the analytics & insights roadmap and vision to support channel strategy and be the go-to for ad-hoc retail reporting and analysis
  • Serves as a team leader and mentor, building sustainability and efficiencies through the creation of processes/tools, best methods, and ways of working for the total team in addition to proactively finding opportunities to scale across channels
  • Be the subject matter expert on channel-specific data platforms to extract maximum value from the capability through deep analysis, storytelling and thought leadership with merchant teams and our internal Brand teams.
  • Serve as the sales managers' most collaborative and strategic thought partners - they walk away from each interaction knowing that the work, decision, and tactic got stronger based on Retail Analytics input and collaboration.
  • Be an "always-on storyteller" - interpreting the data, identifying the "so what" and "why" behind the headlines, influencing compelling data-driven presentations, diagnosing impact to channel P&L, driving action through weekly/monthly scorecards, and coaching others to do the same
  • Independently identify and drive strategic projects that help unlock new revenue-driving opportunities and push the Mammoth Brands & Retail strategy forward through thoughtful analysis of the category, competitive dynamics, shopper demographics, and purchase dynamics
  • Create and maintain best-in-class cross-functional relationships with internal and external partners through understanding interdependencies, proactive communication, and project management

Experience and Qualifications:

  • Bachelor's degree and 4-6 years in an analytical and strategic data-driven role. Experience in CPG and/or Retail is a plus
  • Experience with syndicated data (Circana (IRI)/Nielsen) is a must and Grocery data experience (i.e., dunnhumby, 84.51) is a bonus
  • Passion to work with data and the ability to synthesize complex data from various sources
  • Excellent communicator and storyteller with strong written, verbal, and presentation skills
  • Takes ownership and responsibility for the work and desires to be seen as an analytics leader and problem solver, not just a report generator
  • Insatiably curious and always looking to learn something new, seeking to improve yourself, your team, and the world around you
  • Professional and enthusiastic teammate with a passion to work collaboratively across teams and aim for results
  • Excellent communicator with strong written, verbal, and presentation skills
  • Proficient in Google and Microsoft Office Business Suite, including Docs, PowerPoint and Excel
  • This role offers regular opportunities to engage directly with retail partners, requiring travel to customer meetings approximately 8-10 times per year. 
Key Partners and Team Structure:
  • You will report to the Senior Manager of Retail Analytics and will be integrated into one of our Retail partnership team 
  • You will be a valued team member of the Centralized Insights & Analytics (CIA) Team  
  • You will also work closely with the Category Analytics, Insights, Go to Market, Retail, and Brand Teams in addition to partnering with our external merchant partners.

Benefits and perks

  • Medical, dental, and vision coverage
  • 401k match
  • Equity in Mammoth Brands 
  • Flexible time off and working hours
  • L&D stipend
  • 4 weeks sabbatical after 5 years, 6 weeks after 10 years, and 8 weeks after 15 years 
  • 20 fully paid weeks off for parents who give birth, or 16 fully paid weeks off for all other paths to parenthood
  • Fun IRL and virtual events including happy hours, team building events, and parties on our rooftop
  • Free products from our family of brands

The Mammoth Brands working model is in-office Tuesday, Wednesday, and Thursday. Our beautiful 70,000 square foot SoHo office is decked out with bagels on Wednesdays and lunch on Thursdays, and fully stocked kitchens with snacks, coffee, and drinks everyday.  Can't forget the free products and the opportunity to have some meetings without Zoom!

We can't quantify all of the intangible things we think you'll love about working at Mammoth Brands, like the exciting challenges we tackle, the smart and humble team you'll get to work with, and our supportive and inclusive culture. That said, our salary ranges are based on paying competitively for our size and industry, and are one part of our total rewards package, which also includes a comprehensive set of benefits and our equity program. The base salary hiring range for this position is $91,600-$115,000, but the final compensation offer will ultimately be based on the candidate's location, skill level and experience. Â