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Merchandise Data Analyst Jobs in Rosenberg, TX (NOW HIRING)

Sr Analyst Supply Chain Optimization-1

Katy, TX · On-site

$72K - $89K/yr

You will analyze freight flow, identify operational constraints, and use data-driven insights to ... In this role, you will lead optimization initiatives that connect Merchandising, Transportation ...

Must possess a thorough knowledge of supply chain logistics, merchandising trends and industry best practices, trends, and issues and al analyze data and draw relevant conclusions. * Exceptional ...

Analyze selling reports and other data-based tools to react to current and changing needs of the ... Train stores on visual merchandising standards and best practices. * Partner with store director ...

We connect financial institutions, corporations, merchants, and consumers to one another millions ... Analyze operational data using SQL, Python, Snowflake, and Power BI to generate reporting, control ...

Showing results 21-40

Merchandise Data Analyst information

See Rosenberg, TX salary details

$30.3K

$73.7K

$121.4K

How much do merchandise data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for merchandise data analyst in Rosenberg, TX is $73,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,600.00 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 job categories do people searching Merchandise Data Analyst jobs in Rosenberg, TX look for?

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

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

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

Infographic showing various Merchandise Data Analyst job openings in Rosenberg, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,738 per year, or $35.5 per hour.

Senior Manager, Advanced Analytics Translator

Sysco Corporation

Houston, TX • On-site

Full-time

Re-posted 6 days ago


Sysco rating

7.6

Company rating: 7.6 out of 10

Based on 324 frontline employees who took The Breakroom Quiz

120th of 366 rated logistics


Job description

Company:
US6469 Sysco Payroll, Division of Sysco Resources Services, LLC
Sales Territory:
Zip Code:
77077
Travel Percentage:
COMPENSATION INFORMATION:
The pay range provided is not indicative of Sysco's actual pay range but is merely algorithmic and provided for generalized comparison. Factors that may be used to determine rate of pay include specific skills, work location, work experience and other individualized factors
JOB SUMMARY
The Senior Manager Performance Analytics is a key leader in the development of Sysco's Analytics & Performance Intelligence capabilities. This prospective candidate will be at the forefront of Sysco's customer-first evolution, which is enabled by advanced analytics and a digital transformation. They will be responsible for strategic thinking, product development, and deployment of several related analytics use cases against one of Sysco's core enterprise analytics engines.
This role will require close collaboration, depending upon the use case, with leadership, functional teams (e.g., merchandising, revenue management, human resources), operating companies, specialty companies or geographies and technology teams.
RESPONSIBILITIES
  • Define and align the organization around where Sysco wins and loses leveraging data & insights from across EATs organization (data science, primary research, market/customer intelligence)
  • Define the approach and guide the design of analytics models for several use cases associated with one of the core enterprise analytics engines
  • Work with leadership throughout Sysco to frame business opportunities and develop appropriate analytic strategies
  • Perform data mining, cleansing, and manipulation; identify necessary data elements and their sources, leverage appropriate tools to acquire and consolidate large volumes of data from different sources, and identify and resolve any irrelevant, corrupt, missing, or incongruent data
  • Work with Business, Data Science, and Business Technology teams to ensure that all models are effectively scaled
  • Develop and build metrics and tracking to ensure value is captured from analytical models being developed and deployed
  • Coordinate a cross-functional team of analysts, business SMEs, and technical resources

QUALIFICATIONS
Education
  • Bachelors in an analytical field (e.g., Engineering, Mathematics, Business)
  • MBA or another advanced degree from a top tier educational institution (preferred)

Experience
  • 5+ years in a corporate setting or leading professional services company in an analytical or strategic role such as Strategy, Finance or Insights

Professional Skills
  • Familiarity with digital technologies including an understanding of underlying data architectures, data requirements and limitations, interdependencies between interface front-end, service layer, and back-end
  • Understanding of key differences between a range of descriptive, predictive, and prescriptive analytics approaches and tradeoffs between each
  • Understanding of business value drivers, corresponding business impact, and the relationship between modeling choices and business considerations
  • Ability to problem solve in a structured and logical framework that encompasses problem statement definition, data analysis, and insights and recommendations
  • Ability to work in a collaborative work environment that enables a cross-functional team with various backgrounds and capabilities to execute at a high-level
  • Excellent verbal, written, and interpersonal skills; comfort interfacing with both technical and management teams

BENEFITS INFORMATION:
For information on Sysco's Benefits, please visit https://SyscoBenefits.com
OVERVIEW:
Sysco is the global leader in foodservice distribution. With over 71,000 colleagues and a fleet of over 13,000 vehicles, Sysco operates approximately 333 distribution facilities worldwide and serves more than 700,000 customer locations.
We offer our colleagues the opportunity to grow personally and professionally, to contribute to the success of a dynamic organization, and to serve others in a manner that exceeds their expectations. We're looking for talented, hard-working individuals to join our team. Come grow with us and let us show you why Sysco is at the heart of food and service.
AFFIRMATIVE ACTION STATEMENT:
Applicants must be currently authorized to work in the United States.
We are proud to be an Equal Opportunity and Affirmative Action employer, and consider qualified applicants without regard to race, color, creed, religion, ancestry, national origin, sex, sexual orientation, gender identity, age, disability, veteran status or any other protected factor under federal, state or local law.
This opportunity is available through Sysco Corporation, its subsidiaries and affiliates.

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