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Merchandise Data Analyst Jobs in Spring Branch, TX

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As a Product Support Analyst, you will help dealerships maximize the performance of their websites ... data, pricing structures, vehicle merchandising rules, and display configurations to ensure ...

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

Analyze ACH, card, merchant, client, and portfolio-level activity to identify fraud, money ... data analytics tools. * Experience drafting or contributing to SAR narratives, quality control ...

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Merchandise Data Analyst information

See Spring Branch, TX salary details

$28.9K

$70.1K

$115.4K

How much do merchandise data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for merchandise data analyst in Spring Branch, TX is $70,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $82,300.00 per year, depending on experience, location, and employer.

What does a merchandise data analyst do?

A Merchandise Data Analyst is responsible for collecting, analyzing, and interpreting data related to merchandise sales, inventory, and customer behavior. They use this information to identify trends, forecast demand, and make recommendations that optimize product assortments and inventory levels. Their insights help retailers improve sales performance, reduce stockouts and overstocks, and enhance customer satisfaction. Merchandise Data Analysts often work closely with buying, marketing, and supply chain teams to support strategic decision-making.

What are the key skills and qualifications needed to thrive as a merchandise data analyst?

To thrive as a Merchandise Data Analyst, you need strong analytical abilities, a solid understanding of retail operations, and proficiency in data analysis, typically supported by a degree in business, mathematics, or a related field. Expertise in tools such as Excel, SQL, Tableau, and experience with merchandising or inventory management systems is highly valuable. Attention to detail, problem-solving skills, and effective communication are critical soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate insights and recommendations that drive inventory optimization, sales growth, and strategic retail decisions.

How does a merchandise data analyst typically collaborate with merchandising and buying teams to influence product assortment decisions?

As a Merchandise Data Analyst, you will work closely with merchandising and buying teams by providing data-driven insights on sales trends, inventory levels, and customer preferences. Your analyses help inform decisions about which products to stock, discontinue, or promote, ensuring that assortments align with market demand and company goals. Regular meetings and cross-functional projects are common, where you'll present findings and recommendations, making your role highly collaborative and influential in shaping the product mix.

What is the difference between Merchandise Data Analyst vs Inventory Analyst?

AspectMerchandise Data AnalystInventory Analyst
Required CredentialsBachelor's in Business, Data Analytics, or related field; proficiency in data toolsBachelor's in Supply Chain, Logistics, or related; strong analytical skills
Work EnvironmentRetail or e-commerce companies; data-driven teamsWarehouses, distribution centers, retail stores
Employer & Industry UsageUsed in retail, fashion, and consumer goods industriesCommon in retail, manufacturing, and logistics sectors
Comparison Search IntentAnalyzing sales data, product performance, and trendsManaging stock levels, replenishment, and supply chain efficiency

The Merchandise Data Analyst focuses on analyzing sales and product data to optimize merchandising strategies, while the Inventory Analyst concentrates on managing stock levels and supply chain operations. Both roles require analytical skills and industry knowledge but serve different aspects of retail operations.

What are popular job titles related to Merchandise Data Analyst jobs in Spring Branch, TX?

For Merchandise Data Analyst jobs in Spring Branch, TX, the most frequently searched job titles are:

What job categories do people searching Merchandise Data Analyst jobs in Spring Branch, TX look for?

The top searched job categories for Merchandise Data Analyst jobs in Spring Branch, TX are:

What cities near Spring Branch, TX are hiring for Merchandise Data Analyst jobs?

Cities near Spring Branch, TX with the most Merchandise Data Analyst job openings:

Infographic showing various Merchandise Data Analyst job openings in Spring Branch, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,145 per year, or $33.7 per hour.

Retail Analytics Manager - Grocery

Mammoth Brands

San Antonio, TX

Full-time

Medical, Dental, Vision, Retirement

Posted 18 days ago


Key responsibilities

  • Manage all aspects of strategic analysis and business performance for the brands Harry's, Flamingo, Lume, and Mando.

  • Serve as a primary analytic support and thought partner for retail and internal teams, providing reporting, insights, and storytelling.

  • Identify and drive strategic projects to uncover new revenue opportunities and support retail strategy through data analysis.


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

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 final compensation offer will ultimately be based on the candidate's location, skill level and experience. Â