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Merchandise Data Analyst Jobs in Baltimore, MD (NOW HIRING)

Purpose of Role Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our ... Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, Accounting ...

Merchandise Planner

Hanover, MD · On-site

$60K - $75K/yr

... Analyze historical data and current trends on a weekly basis to identify opportunities and risks by vendor, styles, and classifications. Present analysis and action plans to management • Recap ...

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

Sr. Data Steward

Baltimore, MD · On-site +1

$75K - $100K/yr

Proficiency with SQL and analyzing large datasets. * Proven experience defining, motivating, and ... Under Armour Merchandise Discounts * Competitive 401(k) plan matching * Maternity and Parental ...

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

Data sources include retailer proprietary data, syndicated data, and internal sales, plus ... Build trusted-advisor relationships with retailer buyers and merchandising teams; lead category ...

CRM Analyst

Baltimore, MD · On-site

$65K - $75K/yr

This position enables data-driven decision-making by transforming fan and customer data into ... merchandise discounts, free parking and complimentary baseball tickets to home games. 401(k) plan ...

This position enables data-driven decision-making by transforming fan and customer data into ... merchandise discounts, free parking and complimentary baseball tickets to home games. 401(k) plan ...

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Showing results 1-20

Merchandise Data Analyst information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

How much do merchandise data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for merchandise data analyst in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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 Baltimore, MD look for?

The top searched job categories for Merchandise Data Analyst jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Merchandise Data Analyst jobs?

Cities near Baltimore, MD with the most Merchandise Data Analyst job openings:

Infographic showing various Merchandise Data Analyst job openings in Baltimore, MD as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,114 per year, or $39.5 per hour.

Lead, Enterprise Data Analyst

Under Armour, Inc

Baltimore, MD • On-site

$100 - $135/hr

Other

Re-posted 9 days ago


Under Armour rating

6.9

Company rating: 6.9 out of 10

Based on 113 frontline employees who took The Breakroom Quiz

22nd of 104 rated fashion retailers


Job description

Under Armour is searching for a skilled Lead, Enterprise Data Analytics to join our Enterprise Data Management (EDM) organization. This role bridges business strategy and technical analytics execution, supporting executive reporting and partnering with senior leaders to deliver the metrics and insights used to run a large‑scale, global business. You will lead the discovery, design, and delivery of scalable reporting solutions and data products across multiple business domains, enabling leadership and business units alike to make better, more informed decisions.

Operating as a senior individual contributor, you will lead cross‑functional analytics initiatives end‑to‑end, coach analysts, and raise the bar for analytical best practices across the team — aligning every deliverable with Under Armour's enterprise‑wide data strategy.

Your Impact
  • Lead cross‑functional requirements discovery and end‑to‑end analytics delivery, translating business strategy and KPIs into scalable reporting solutions.
  • Serve as a shared analytics resource across multiple business domains (Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, and more), aligning business requirements with data and analytical solutions.
  • Manage the intake and prioritization of analytics requests, balancing competing demands and setting clear expectations on scope, deadlines, and deliverables.
  • Build and maintain dashboards, reports, and reusable data products using Under Armour's standard BI tools, with an emphasis on clarity, reusability, and self‑service insight.
  • Drive innovation in how UA reports on the business — modernizing, simplifying, and scaling reporting solutions, including the use of AI to accelerate insight delivery.
  • Coach and mentor analysts, drive analytical best practices, and own documentation and knowledge transfer across the EDM Center of Excellence.
  • Work closely with project teams, enterprise developers, systems analysts, data scientists, and architects to deliver solutions aligned with the enterprise‑wide data strategy.
  • Monitor changes in the business and proactively recommend where analytics can further improve performance, synthesizing and presenting findings and project status to stakeholders and leadership.
Qualifications
  • Bachelor's degree with typically 8 years of relevant experience or Master's degree with typically 6 years of relevant experience or typically 12 years of relevant work experience without degree.
  • 8 years of experience in business intelligence, data analytics, or data strategy roles, with a track record of delivering reporting solutions that drive business decisions.
  • Hands‑on experience with AI tools such as Claude / Claude Code, Codex, Microsoft Copilot, and Snowflake Cortex Code (CoCo).
  • Experience engaging across business areas: Retail, Wholesale, Ecommerce, Supply Chain, Sales, Finance, Merchandising, Marketing, Accounting, Product, HR, and Emerging Markets.
  • Demonstrated ability to lead cross‑functional analytics initiatives and manage intake and prioritization with limited oversight.
  • Proficiency in BI and reporting tools such as Tableau and Power BI, along with SQL; experience with Snowflake, DBT, and the modern data stack is a plus.
  • Experience creating functional and technical specification documents.
  • Proven ability to express complex operational and technical concepts in business terms, with excellent verbal and written communication skills.
  • Highly organized self‑starter with strong analytical, planning, and problem‑solving skills; comfortable managing multiple priorities in a fast‑paced, dynamic environment.
  • Experience coaching or mentoring analysts and championing analytical best practices.
  • ERP experience is a plus.
Workplace Location
  • Location: Candidates must reside within a commutable distance to our corporate headquarters in Baltimore, Maryland, as periodic on‑site attendance may be required.
  • Travel: Possible travel to regional offices, conferences, and trainings.
  • Sponsorship Eligibility: UA does not offer sponsorship for employment‑based work authorization for this position at this time.
Relocation
  • No relocation provided.
  • #LI-CP1
  • #LI-HYBRID
Base Compensation

$100,000.00–$135,000.00 USD. Most new hires fall within this range and have the opportunity to earn more over time. Initial placement within the salary range, however, is based on an individual's relevant knowledge, skills and experience for the position. UA is committed to helping our teammates succeed and advance in their careers. Base salary is only one component of our competitive Total Rewards package.

  • Paid “UA Give Back” Volunteer Days: Work alongside your team to support initiatives in your local community.
  • Maternity and Parental Leave for eligible and FMLA‑eligible teammates.
  • Health & fitness benefits, discounts and resources – we offer teammates across the country programs to promote physical activity and overall well‑being.
Our Commitment to Equal Opportunity

At Under Armour, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion or belief, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, family or paternal status and any other characteristic protected by applicable law. Under Armour seeks to recruit, develop and retain the most talented people representing a wide variety of backgrounds and perspectives. If a reasonable accommodation is needed to participate in the job application or interview process, please contact our Human Resources team via candidateaccommodations@underarmour.com.

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