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Merchandise Data Analyst Jobs (NOW HIRING)

SKIMS

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Senior Data Analyst Department: Data, Insights and Loyalty Employment Type: Full Time Location: Los ... Planning, Merchandising, Operations, or Production) with the final placement informed by your ...

SKIMS

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In ... Planning, Merchandising, Operations, or Production) with the final placement informed by your ...

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

OVERVIEW We are seeking a Senior Data Analyst with experience in retail and a passion for data ... You'll bring these insights to life by collaborating with our Marketing, Product, Merchandising ...

Walmart

Senior, Data Analyst

Bentonville, AR · On-site

$80K - $155K/yr

... merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power ...

ALO

Senior Data Analyst

Beverly Hills, CA · On-site

$140K - $160K/yr

OVERVIEW We are seeking a Senior Data Analyst with experience in retail and a passion for data ... You'll bring these insights to life by collaborating with our Marketing, Product, Merchandising ...

PVH

Planning & EDI Data Analyst

Milano, TX

The Team The Wholesale Planning team drives demand and merchandising planning for the Southeast ... Building, validating, and analyzing sales data to provide actionable insights for the planning ...

Stripe

Data Analyst, Payments Performance

The role involves developing analytics products, maintaining analytics assets, and building data ... and how merchants optimize payment processing (e.g., conversion, authorization rates ...

Stripe

Data Analyst, Payments Performance

Seattle, WA · On-site

... merchants to set them up for long term success. We make payments performance a competitive ... Minimum requirements * 7+ years experience in Analytics, Business Intelligence Engineering, Data ...

Yum Brands

Digital Data Analyst

Plano, TX · On-site

$99K - $115K/yr

We are in search of an experienced data & analytics mind to help drive Pizza Hut's digital analytics and technology platform supporting our A/B testing program and merchandising product teams. The ...

New

Home Depot

Data Analyst - Supply Chain

Atlanta, GA · On-site

A Data Analyst Supply Chain leverages technical abilities to synthesize complex analytical tasks ... Supply Chain, Merchandising, Operations, etc.) * B.S. in Computer Science, Math, Engineering ...

Amazon

Buyer II, Zappos Merchandising

New York, NY · On-site

Understands how to gather and analyze internal and competitor merchandise data --Possesses knowledge of ABC categorization and analysis Understands the needs and wants of the different consumer ...

Vizio

(USA) Senior, Data Analyst

Denver, CO

$88K - $171K/yr

... merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power ...

Amazon

Buyer II, Zappos Merchandising

New York, NY · On-site

Understands how to gather and analyze internal and competitor merchandise data --Possesses knowledge of ABC categorization and analysis Understands the needs and wants of the different consumer ...

Walmart

(USA) Senior, Data Analyst

Denver, CO · On-site

$88K - $171K/yr

... merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power ...

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All JobsMerchandise Data Analyst Jobs

Merchandise Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do merchandise data analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for merchandise data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Merchandise Data Analyst, and why are they important?

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 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.

Is a data analyst dead in 10 years?

A Merchandise Data Analyst role is likely to evolve rather than disappear, as data analysis remains essential for retail and merchandising decisions. Advances in automation and AI may change the tools used, but analytical skills, data interpretation, and familiarity with software like Excel, SQL, or Tableau will continue to be valuable. Continuous learning and adapting to new technologies are important for long-term job security in this field.

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.

More about Merchandise Data Analyst jobs
What cities are hiring for Merchandise Data Analyst jobs? Cities with the most Merchandise Data Analyst job openings:
What states have the most Merchandise Data Analyst jobs? States with the most job openings for Merchandise Data Analyst jobs include:
What job categories do people searching Merchandise Data Analyst jobs look for? The top searched job categories for Merchandise Data Analyst jobs are:
Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 51% Full Time, and 47% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior Data Analyst

Senior Data Analyst

SKIMS

Los Angeles, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Skims rating

7.4

Company rating: 7.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Senior Data Analyst
Department: Data, Insights and Loyalty
Employment Type: Full Time
Location: Los Angeles HQ
Compensation: $130,000 - $150,000 / year
Description
SKIMS is a solutions-oriented brand creating the next generation of underwear, loungewear, shapewear, and essentials. We are setting new standards by delivering technically innovative, comfort-driven products with elevated design for everybody.
At the intersection of culture, innovation, and commerce, SKIMS is a global brand redefining modern apparel. Our teams are built on creativity, collaboration, and operational excellence, and we are committed to fostering an inclusive, high-performance environment where ambitious, curious, and values-driven individuals can do the best work of their careers.
As we continue to scale globally, our HQ teams play a critical role in shaping strategy, building world-class infrastructure, and driving sustainable growth across markets.
We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In this role, you will partner closely with a key business function (areas could include Performance Marketing, Product Planning, Merchandising, Operations, or Production) with the final placement informed by your background and where your expertise will have the greatest impact. You will work as part of a collaborative data team while serving as the analytical point of contact for your stakeholders, translating complex data into clear, actionable insights that drive real decisions.
Key Responsibilities
  • Partner with a dedicated business function as the primary analytics contact, owning analytical deliverables and translating business questions into clear, data-driven recommendations.
  • Build and maintain reusable analytical frameworks, scripts, and tools in Python or SQL to automate recurring analyses, improve data access, and scale the team's capabilities.
  • Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and support decisions around areas such as customer lifetime value, demand planning, and resource allocation.
  • Identify opportunities for optimization, customer segmentation, and targeting across the supported business function by providing stakeholders with actionable insight into customer preferences, behaviors, and trends.
  • Design and execute experiments, including A/B tests, to measure the impact of business initiatives and communicate results and recommendations clearly to stakeholders.
  • Evaluate and validate analytical models using appropriate statistical performance metrics to ensure accuracy and reliability. Develop analytics roadmaps in partnership with business stakeholders, aligning data initiatives to functional goals and translating trend analysis into actionable forecasts.
  • Partner with data engineering and technology teams to define data requirements, ensure data quality, and build robust pipelines that support reliable, scalable analytics across the organization.
  • Create executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI that empower self-service, data-driven decision making.
  • Build strong relationships with business stakeholders, proactively identifying analytical needs, communicating findings in clear and compelling ways, and influencing decisions at the leadership level.
  • Serve as a resource and informal mentor to junior team members, sharing expertise in analytical methods, data best practices, and stakeholder communication to continuously elevate the team's capabilities.

Skills, Knowledge and Expertise
  • Strong analytical instincts with the technical skills to back them up. You can access, transform, and model data independently and know how to turn ambiguous questions into structured analysis.
  • A natural communicator and business partner. You don't just produce analysis, you influence decisions. You're comfortable presenting to leadership and translating technical findings into clear business narratives.
  • Curious and self-directed. You thrive in a fast-moving environment, can operate with ambiguity, and take ownership from question to recommendation without needing heavy direction.
  • A team builder at heart. You take pride in sharing knowledge, raising the bar for those around you, and contributing to a data culture where good decisions are the norm.

Requirements:
  • Bachelor's degree in Statistics, Data Science, or a related field and 5+ years of experience in a senior analytics role. Prior experience in the ecommerce or retail industry (e.g., DTC apparel, fashion, or consumer goods) is a plus.

Experience must include:
  • Accessing, transforming, and modeling large datasets using SQL and Python to surface patterns, trends, and actionable insights, including experience applying predictive and statistical models to business problems.
  • Querying and manipulating large datasets using BI and analytics tools (e.g., Snowflake, SQL, Python, Looker), with strong command of data wrangling, transformation, and exploratory analysis. Designing and measuring experiments, including A/B tests, to evaluate business initiatives.
  • Creating executive-level dashboards using visualization tools like Looker, Tableau, or PowerBI.
  • Leading end-to-end analytics projects with minimal oversight, defining measurement frameworks and translating ambiguous business questions into structured analytical plans.

Benefits, Culture and Perks
Benefits and Culture
  • Up to 100% Company Paid Healthcare (medical, dental, vision)
  • Kind Body Fertility Benefits
  • 401(k) savings plan with up to 4% match
  • Unlimited PTO
  • Full Access to LinkedIn learning
  • Employee Discounts

Perks (HQ Location)
  • Free weekly catered lunch at HQ - M/T/W/Th
  • Dog-Friendly office on a Thursday and Friday
  • Free Swag Giveaways
  • Annual Holiday Party
  • Annual Summer Party
  • Invitations to pop-ups and other company events
  • Complimentary daily office snacks and beverages

Apply