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Merchandise Data Analyst Jobs in Spring House, PA

Nuuly

Nuuly Digital Analyst, Acquisition

Philadelphia, PA · On-site

$90K - $107K/yr

The Analytics team brings data-driven insights to every function at Nuuly, including buying ... Develop persona-level behavioral analysis to help marketing and merchandising teams understand how ...

Nuuly

Nuuly Digital Analyst, Acquisition

Philadelphia, PA · On-site

$90K - $107K/yr

The Analytics team brings data-driven insights to every function at Nuuly, including buying ... Develop persona-level behavioral analysis to help marketing and merchandising teams understand how ...

URBN

URBN Senior Data Engineer

Philadelphia, PA · On-site

$97K - $132K/yr

Design and implement robust data pipelines for merchandising, web analytics, multi-touch attribution (MTA), and customer journey mapping. * Operational Excellence & On-Call Support: Participate in a ...

Burlington

Software Engineer

Edgewater Park, NJ · On-site

$80K - $105K/yr

... merchandising, supply chain, store operations, finance, and digital teams. This position is ideal ... Power BI Data Analyst Associate * Generative AI or LLM Certifications (e.g., Microsoft, AWS, Google ...

Burlington Stores

Software Engineer

Edgewater Park, NJ · On-site

$80 - $105/hr

... merchandising, supply chain, store operations, finance, and digital teams.This position is ideal ... Power BI Data Analyst AssociateGenerative AI or LLM Certifications (e.g., Microsoft, AWS, Google ...

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All JobsMerchandise Data Analyst JobsMerchandise Data Analyst Jobs in Spring House, PA

Merchandise Data Analyst information

See Spring House, PA salary details

$32.5K

$79K

$129.9K

How much do merchandise data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for merchandise data analyst in Spring House, PA is $78,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,700.00 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 cities near Spring House, PA are hiring for Merchandise Data Analyst jobs?

Cities near Spring House, PA with the most Merchandise Data Analyst job openings:

Merchandise Data Analyst jobs near you
Infographic showing various Merchandise Data Analyst job openings in Spring House, PA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $78,954 per year, or $38 per hour.

Nuuly Digital Analyst, Acquisition

Nuuly

Philadelphia, PA • On-site

$90K - $107K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Role Summary
Nuuly is seeking a Digital Analyst, Acquisition to join the Digital Analytics team! This role will focus on the intersection of marketing performance and on-site behavior. This role is specifically designed to bridge the gap between upstream marketing activity, paid channels, email, SEO, organic, etc., and what happens on-site. You will dig into how different audiences find Nuuly, how they browse and convert, and what the data tells us about optimal acquisition paths. You'll work closely with the Nuuly Marketing team and report to our Senior Analytics Manager, while collaborating with the broader Digital Analytics team on shared measurement infrastructure.
The Analytics team brings data-driven insights to every function at Nuuly, including buying, logistics, finance, customer service, marketing, and user experience. The Product & Digital Analytics team specifically measures on-site and in-app behavior, partners with engineering and product management to govern GA4 tagging, and provides the measurement infrastructure needed to evaluate new features and experiences.
Role Responsibilities
  • Analyze how paid and organic marketing channels drive on-site behavior, connecting upstream channel performance to funnel outcomes and subscriber acquisition
  • Build and own conversion path and user journey analyses - identifying which entry points, audiences, and content paths lead to the highest-quality subscribers
  • Develop persona-level behavioral analysis to help marketing and merchandising teams understand how different customer segments browse, engage, and convert
  • Support landing page and campaign performance analysis, evaluating how traffic sources, creative, and messaging influence funnel progression
  • Partner with the Marketing Analytics team on channel attribution, incrementality, and cross-channel measurement questions that require on-site behavioral data
  • Collaborate with the Digital Analytics Manager to ensure marketing-relevant events and conversion touchpoints are properly tracked
  • Document analyses and data definitions clearly for use across the team

Role Qualifications
  • Bachelor's degree in a quantitative, marketing, business, or related field
  • 2-4 years of experience in digital analytics, marketing analytics, or a closely related role
  • Strong SQL skills - able to write, read, and QA complex queries
  • Familiarity with Google Analytics (GA4 experience is a strong plus)
  • Experience with data visualization tools such as Looker
  • Comfort working with paid media data and understanding marketing channel metrics (Meta, Google, TikTok, etc.)
  • Familiarity with basic statistical concepts
  • Strong communication skills with both technical and non-technical stakeholders
  • Experience in e-commerce, subscription services, or retail is a plus
  • Exposure to attribution concepts, A/B testing, or incrementality measurement is a plus
  • Practical experience using AI/LLM tools (ChatGPT, Claude, etc.) for analytical work is a plus

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The Perks
URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits
EEO Statement
URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

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