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Merchandise Data Analyst Jobs in Delaware (NOW HIRING)

Lennar

Merchandising Coordinator

Dover, DE

$22.61 - $29/hr

Merchandising Coordinator We are Lennar Lennar is one of the nation's leading homebuilders ... data analysis, Artificial Intelligence (AI) tools, and other business functions. Lennar is an equal ...

Cardworks

AVP, Digital Products

Wilmington, DE · On-site

As a leader in non-prime lending and merchant acquiring, we combine innovative technology with data ... Use digital analytics, large datasets, and downstream performance insights to identify trends ...

Troon

Retail Operations Coordinator

Bethany Beach, DE

$17.75 - $23.75/hr

Reporting & Data Analysis * Compile daily, weekly, monthly, and seasonal operational reports ... Attend one or two merchandise buying trips annually with the Retail Operations Manager. Minimum ...

Walmart

Overnight Merchandising Supervisor

Camden, DE · On-site

$65K - $100K/yr

... merchandise presentation seasonal transitions inventory flow and operational processes and ... data insights and analysis balances short and longterm priorities and considers our customers ...

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Merchandise Data Analyst information

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 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, 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 are popular job titles related to Merchandise Data Analyst jobs in Delaware? For Merchandise Data Analyst jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Merchandise Data Analyst jobs in Delaware look for? The top searched job categories for Merchandise Data Analyst jobs in Delaware are:
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Merchandise Data Analyst jobs near you
Specialized Analytics Lead Analyst, VP - Citi Commerce Measurement and Insights Analytics

Specialized Analytics Lead Analyst, VP - Citi Commerce Measurement and Insights Analytics

Citigroup, Inc.

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

Citi is evolving its current commerce offerings and branching into new avenues of growth by offering merchants access to high value cardmembers across Citi's digital properties and partner placements. By combining Citi's scale, trusted customer relationships, and real purchase insights, the business delivers advertising that is relevant to customers and drives measurable, incremental impact for advertisers. We are seeking an experienced and highly skilled C13 Lead Analyst to drive Measurement and Insights Analytics for the strategic Citi commerce function. This role will be critical in developing a measurement framework for Citi commerce campaigns and providing insights into the performance and identifying opportunities for refining the targeting and audiences. This role will leverage data-driven insights to develop close loop measurement across channels to provide incrementality tracking and purchase attribution for our advertisers and identify new growth opportunities. The successful candidate will be working hands-on as a part of a team or function focused on in-depth analysis of campaign performance for Citi commerce ads and offers and their impact on underlying customer behaviors and development of attribution models and frameworks to deliver detailed insights to advertisers. This position requires a deep understanding of the commerce media business, digital ecosystem, strong analytical capabilities, and the ability to translate complex data into actionable business strategies.
Responsibilities:
  • Strategic Analytics contribution: help drive business outcomes through advanced analytics, including but not limited to:
    • Develop the data & measurement roadmap for the Citi Commerce Network (e.g., releases, KPIs, owners)
    • Develop and operationalize closed-loop measurement approaches leveraging Citi data and partner signals
    • Identify KPIs from online media data sources (Programmatic, Onsite) and combine them into a single measurement view
    • Drive standardization of post-campaign reporting, and test-and-learn frameworks
    • Develop attribution models and frameworks to establish measurement for Citi Commerce campaigns
    • Build and integrate Gen AI capabilities to accelerate measurement and insights generation
    • Partner with Finance and Product teams to track actuals versus forecast for business growth and revenue on a granular basis
    • Work in a high performing team and develop team members to drive successful outcomes
  • Reporting & Insights: Develop and deliver insightful reports, dashboards, and presentations to key stakeholders, translating complex analytical findings into clear, concise, and actionable recommendations.
  • Cross-Functional Collaboration: Partner closely with Product Development, Sales, Ad Ops, Audience Analytics, Marketing, and Technology teams to integrate analytical insights into product design, marketing campaigns, and business development initiatives.
  • Risk and Controls Governance: Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively

Qualifications:
  • Minimum Experience: 6-10 years of progressive experience in data analytics, business intelligence, or quantitative analysis within the financial services, digital media, marketing or retail industry.
  • Commerce Media Domain Expertise: Deep understanding of the commerce or retail media landscape, including measurement capabilities, revenue streams, data strategy and commercialization strategy.
  • Digital Media and Marketing Expertise: Deep understanding of digital media and marketing ecosystem, including various marketing channels, media buy models, Familiarity with advertising or campaign performance data, ideally across ad servers, web analytics, or DSPs. Knowledge of key digital marketing KPIs (ROAS, Impressions, CTR, CPA etc.)
  • Advanced Analytics Skills: Proficiency in statistical analysis, predictive modeling, machine learning techniques, and experimental design (A/B testing). Familiarity with digital marketing principles such as attribution models (MMM, MTA), incrementality testing, AB testing
  • Strategic Thinking: Ability to connect analytical insights with business strategy, identifying opportunities and risks.
  • Communication Skills: Exceptional verbal and written communication skills, with the ability to articulate complex analytical concepts and present findings clearly and persuasively to both technical and non-technical audiences. Ability to translate advertiser needs into measurement requirements, KPI frameworks, and reporting design
  • Problem-Solving: Strong critical thinking and problem-solving abilities, with meticulous attention to detail.
  • Technical Proficiency:
    • Data Platforms:
      • Experience with large-scale data platforms and tools (e.g., Snowflake).
      • Experience working with first-party data and privacy-safe data environments (e.g., clean rooms, identity resolution)
      • Familiarity with advertising or campaign performance data, ideally across ad servers, web analytics, or DSPs.
    • AI/ML skills: Hands-on experience in attribution models and developing Gen AI solutions
    • Visualization Tools: Hands-on experience with business intelligence and data visualization tools (e.g., Tableau, Power BI, QlikView).

Education:
  • Required: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline.
  • Preferred: Master's degree or PhD in a quantitative field, Business Analytics, or an MBA with a strong analytical focus.

Preferred Skills:
  • Experience with programming: proficiency in SQL, Python, or R for data manipulation, statistical analysis, and model development.
  • Experience with consumer banking products and customer lifecycle analytics.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Decision Management
Job Family:
Specialized Analytics (Data Science/Computational Statistics)
Time Type:
Full time
Primary Location:
Wilmington Delaware United States
Primary Location Full Time Salary Range:
$138,720.00 - $208,080.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Jun 10, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

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