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Merchandise Data Analyst Jobs in Springfield, NE

We connect financial institutions, corporations, merchants and consumers to one another millions of ... Analytics & Reporting * Build analytics datasets and semantic layers to support enterprise ...

Risk Analyst

Omaha, NE

$49K - $79K/yr

We connect financial institutions, corporations, merchants and consumers to one another millions of ... Advanced data analysis skills. * Previous experience in risk analysis or financial services. How ...

Risk Analyst

Omaha, NE ยท On-site

$49K - $79K/yr

We connect financial institutions, corporations, merchants and consumers to one another millions of ... Advanced data analysis skills. * Previous experience in risk analysis or financial services. How ...

We help merchants and consumers connect, transact, and complete payments, whether they are online ... This role supports the full eDiscovery lifecycle-from data collection and processing through ...

Senior Financial Billing Analyst

Omaha, NE ยท On-site

$81K - $101K/yr

We connect financial institutions, corporations, merchants, and consumers to one another millions ... Experience using Microsoft Excel for data analysis, reconciliation, and reporting. * Experience ...

Senior Financial Billing Analyst

Omaha, NE

$81K - $101K/yr

We connect financial institutions, corporations, merchants, and consumers to one another millions ... Experience using Microsoft Excel for data analysis, reconciliation, and reporting. * Experience ...

Cyber Compliance Analyst

Omaha, NE ยท On-site

$90K - $144K/yr

We connect financial institutions, corporations, merchants and consumers to one another millions of ... Experience using reporting, data analysis, scripting, or automation tools to support operational or ...

Merchandiser

Omaha, NE ยท On-site

$16.25 - $19.25/hr

Merchandise soybeans and finished soybean products * Negotiate transactions with suppliers and end ... Research, analyze, and interpret market and industry data * Represent the company at plant ...

Merchandiser

Omaha, NE ยท On-site

$16.25 - $19.25/hr

Merchandise soybeans and finished soybean products * Negotiate transactions with suppliers and end ... Research, analyze, and interpret market and industry data * Represent the company at plant ...

Replenishment Planner

Omaha, NE ยท Hybrid

$59K - $74K/yr

... the merchandise inventory strategy in assigned categories to manage inventory flow and achieve ... Analyze data and evaluate stock levels to determine reasons for inventory overages, underage ...

... merchandising, and trading teams. * Build and maintain strong relationships with customers ... Analyze transportation and logistics data to identify trends, improve network performance, support ...

... merchandising, and trading teams. * Build and maintain strong relationships with customers ... Analyze transportation and logistics data to identify trends, improve network performance, support ...

Replenishment Planner

Omaha, NE ยท On-site

$59K - $74K/yr

... the merchandise inventory strategy in assigned categories to manage inventory flow and achieve ... Analyze data and evaluate stock levels to determine reasons for inventory overages, underage ...

We connect financial institutions, corporations, merchants, and consumers to one another millions ... Analyze unstructured data such as text, logs, and system events to identify trends, support root ...

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Showing results 1-20

Merchandise Data Analyst information

See Springfield, NE salary details

$33.3K

$80.9K

$133.2K

How much do merchandise data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for merchandise data analyst in Springfield, NE is $80,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 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 Springfield, NE look for?

The top searched job categories for Merchandise Data Analyst jobs in Springfield, NE are:

What cities near Springfield, NE are hiring for Merchandise Data Analyst jobs?

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

Infographic showing various Merchandise Data Analyst job openings in Springfield, NE as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,909 per year, or $38.9 per hour.

Business Analyst - AI/Generative AI

Omaha, NE โ€ข On-site

Other

Re-posted 10 days ago


Job description

Position: Business Analyst AI/Generative AI
Location: Frisco & Omaha
Duration: 12+ Months
Interview Mode: Virtual

Job Description

Fiserv is seeking a highly motivated Business Analyst with AI/Generative AI experience to bridge the gap between business stakeholders and technical teams. The ideal candidate will have strong business analysis skills combined with exposure to AI, Machine Learning, and Generative AI initiatives within the Banking or Financial Services domain. The candidate will work closely with product owners, data scientists, and engineering teams to gather requirements, define AI use cases, and support the successful implementation of AI-driven business solutions.

Key Responsibilities

  • Gather, analyze, and document business and functional requirements for AI/ML and Generative AI initiatives.
  • Collaborate with business stakeholders, product managers, data scientists, and development teams to define AI use cases.
  • Translate business requirements into functional specifications, user stories, acceptance criteria, and process flows.
  • Analyze current business processes and identify opportunities for AI-driven automation and optimization.
  • Support AI solution design, implementation, testing, and production rollout.
  • Facilitate Agile ceremonies including backlog grooming, sprint planning, and user acceptance testing (UAT).
  • Work with data engineering teams to define data requirements, data lineage, and business rules.
  • Create BRDs, FRDs, process flow diagrams, workflow documentation, and presentation materials.
  • Monitor project progress and ensure alignment between business objectives and technical delivery.
  • Support change management, user training, and knowledge transfer activities.

Required Skills

  • 7+ years of experience as a Business Analyst.
  • 2+ years of experience working on AI, Machine Learning, or Generative AI projects.
  • Strong understanding of AI concepts including LLMs, Prompt Engineering, RAG, AI Agents, NLP, and Vector Databases.
  • Experience gathering requirements for AI-enabled applications.
  • Strong experience with Agile/Scrum methodology.
  • Excellent knowledge of SQL for data analysis.
  • Experience with Jira, Confluence, Visio, and Microsoft Office Suite.
  • Strong communication, stakeholder management, and documentation skills.
  • Experience creating BRDs, FRDs, User Stories, Use Cases, Process Flows, and UAT documentation.

Preferred Skills

  • Banking or Financial Services domain experience (Fiserv, Banking, Payments, Cards, Digital Banking).
  • Knowledge of OpenAI, Azure OpenAI, Google Gemini, Claude, or similar LLM platforms.
  • Experience with LangChain, LangGraph, LlamaIndex, or AI orchestration frameworks.
  • Familiarity with Snowflake, Databricks, AWS, Azure, or Google Cloud Platform.
  • Experience working with APIs and system integrations.
  • Knowledge of data governance, compliance, and AI security best practices.

Nice to Have

  • Exposure to Payment Processing, Merchant Services, Digital Banking, or Core Banking platforms.
  • Understanding of Responsible AI and AI governance.
  • Experience supporting AI chatbot or intelligent automation implementations.

Primary Skills

  • Business Analysis
  • Artificial Intelligence (AI)
  • Generative AI
  • LLMs (OpenAI/Azure OpenAI/Gemini/Claude)
  • Prompt Engineering
  • RAG (Retrieval-Augmented Generation)
  • SQL
  • Agile/Scrum
  • Jira & Confluence
  • Banking / Payments / Financial Services