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Merchandise Data Analyst Jobs in Springfield, PA

URBN Senior Data Engineer

Philadelphia, PA ยท 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 ...

Software Engineer

Edgewater Park, NJ ยท 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 ...

Software Engineer

Edgewater Park, NJ ยท 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 ...

retail data collector

Warminster, PA ยท On-site

$16.25 - $19/hr

... analysis, and customer targeting that always hit the mark ... We do this by excelling in four key areas - headquarter selling, retail merchandising, store level ...

Showing results 41-60

Merchandise Data Analyst information

See Springfield, PA salary details

$32.1K

$78K

$128.3K

How much do merchandise data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for merchandise data analyst in Springfield, PA is $77,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 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 Springfield, PA are hiring for Merchandise Data Analyst jobs?

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

Infographic showing various Merchandise Data Analyst job openings in Springfield, PA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $77,959 per year, or $37.5 per hour.

Software Engineer

Burlington Coat Factory Whse. Corp.

Edgewater Park, NJ โ€ข On-site

$80 - $105/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Position Overview

The Software Engineer is a hands on, product focused engineer responsible for building and enhancing data driven and AI enabled products that support Burlingtonโ€™s retail and corporate business functions. This role works closely with product managers, analytics, design, and engineering teams to translate business requirements into reliable, scalable, and maintainable solutions. The Software Engineer contributes to the development of analytics solutions, supports the integration of AI and machine learning capabilities, and helps deliver insights that improve decision making across merchandising, supply chain, store operations, finance, and digital teams. This position is ideal for an engineer who is growing into product ownership, learning to balance technical execution with business impact, and contributing to shared standards and best practices while operating within Burlingtonโ€™s fast paced retail landscape.

A Day in the Life
  • Product Engineering: Product discovery, requirements translation, MVP development, backlog refinement, experimentation frameworks, userโ€‘centric design collaboration, metricsโ€‘driven iteration
  • AI & Machine Learning: LLM integration, prompt engineering, embeddings, model evaluation responsible AI practices.
  • Performance & Scalability: Query tuning, cost optimization, system scalability, reliability engineering
  • Collaboration & Leadership: Stakeholder communication, crossโ€‘functional delivery, agile/Scrum ceremonies, technical mentoring, documentation and knowledge sharing
  • Design and implement AIโ€‘enabled Power BI solutions, including integration of generative AI capabilities to enhance data exploration, insights discovery, and user experience.
  • Integrate LLMโ€‘powered features (e.g., narrative insights, summaries, explanations, and recommendations) into Power BI reports and dashboards using enterpriseโ€‘approved AI services.
  • Develop and govern Power BI reports leveraging AI visuals, predictive analytics, anomaly detection, and advanced DAX measures.
  • Partner with data science and engineering teams to operationalize machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption.
  • Implement natural language query (NLQ) and conversational analytics experiences embedded within Power BI dashboards and apps.
  • Ensure performance, scalability, and cost efficiency of AIโ€‘enabled Power BI solutions, including optimization of semantic models, DAX, and query patterns.
  • Apply Responsible AI and data governance principles within Power BI solutions, ensuring transparency, explainability, access controls, and compliance.
  • Standardize AIโ€‘enabled Power BI design patterns, reusable templates, and best practices across the analytics organization.
  • Enable and support selfโ€‘service AI analytics in Power BI through documentation, enablement sessions, and guardrails.
  • Collaborate with product, analytics, and business teams to identify highโ€‘value AI use cases that can be delivered through Power BI.
  • Monitor and measure adoption and impact of AIโ€‘enabled Power BI features, using usage metrics and feedback to drive continuous improvement.
Youโ€™ll Come With
  • 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering, with a strong focus on enterprise reporting and analytics platforms.
  • 2+ years of experience building and integrating AI capabilities into reporting tools, including use of AI visuals, natural language query (NLQ), predictive analytics, anomaly detection, and narrative insights.
Certifications ( Preferred)
  • Microsoft Certified: Power BI Data Analyst Associate
  • Generative AI or LLM Certifications (e.g., Microsoft, AWS, Google, or industryโ€‘recognized providers)

Come join our team. Youโ€™re going to like it here! You will enjoy competitive wages, flexible hours, and an associate discount.

Burlingtonโ€™s benefits package includes medical, dental and vision coverage including life and disability insurance.

Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan.

We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day.

Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity

Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, jobโ€‘related skills, relevant experience, and geographic location.

Compensation Range: $80,000.00 - $105,000.00

For over half a century, Burlington have been delivering value to our customers, associates and our communities. With our every day low prices on top brand name merchandise for the entire family and home, combined with our dedication to our thousands of associates nationwide and our ability to make an impact in the communities where we live and work, Burlington is proud to be an awardโ€‘winning offโ€‘price retailer.

Visit BurlingtonStores.Jobs for a full listing of our available jobs.

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