Business Data Analyst

ARSAN International Consulting Group; Garner (IA); Hybrid; USD 70,000 - 90,000; Full time

Job summary

ARSAN International Consulting Group is seeking a Business Data Analyst in Garner, NC, to support commercial growth through retail analytics. This role involves analyzing retail data to inform sales and pricing strategies, collaborating closely with Sales and Supply Chain teams.

The ideal candidate has a Bachelor’s degree in a relevant field and 4+ years of experience in data analysis within a commercial environment. Proficiency in Excel and strong communication skills are essential.

This position offers a hybrid work model with travel required for customer meetings.

Qualifications

• 4+ years of experience as a Business Analyst or Data Analyst.
• Strong ability to analyze and interpret large datasets.
• Hands-on experience with retail POS and inventory data.

Responsibilities

• Analyze retail POS, inventory, and sales data.
• Evaluate SKU productivity and assortment effectiveness.
• Prepare clear, concise PowerPoint presentations for Sales.

Skills

Business Analyst

Data Analysis

Retail POS expertise

Advanced Microsoft Excel

Communication skills

Education

Bachelor’s degree in Business, Economics, Finance, Statistics, Mathematics

Tools

BI tools

ERP systems

Job description

Business Data Analyst

Garner, United States | Posted on 01/24/2026

Job Description

Business Analyst – Garner, NC - Hybrid (M/W/F)

An outstanding opportunity to join a global industrial manufacturing organization, a leader in engineered products, during a critical period of commercial growth and increased reliance on customer-facing retail analytics to support sales, pricing, and assortment decisions.

Our client is seeking a Business Analyst to drive retail POS, inventory, and sales analysis in support of a National Accounts organization. This is a critical, high-visibility role that combines hands‑on data analysis, business insight development, and direct collaboration with the Supply Chain teams.

The successful candidate will be accountable for analyzing large retail datasets, identifying SKU and assortment performance trends, and translating data into actionable recommendations used in internal and customer meetings, reporting directly to Retail commercial leadership, with strong visibility to Sales leadership and cross‑functional partners supporting major retail accounts.

Note: Our client will only accept USD payroll.

Key Qualifications & Requirements:

• Bachelor’s degree in Business, Economics, Finance, Statistics, Mathematics, or related field
• 4+ years of experience as a Business Analyst or Data Analyst in a commercial, sales, or retail‑facing environment
• Hands‑on experience working with retail POS and inventory data
• Proven ability to analyze and interpret large datasets (commonly hundreds to thousands of SKUs)
• Advanced proficiency in Microsoft Excel (pivot tables, lookups, data structuring, analytical modeling)
• Strong ability to translate complex data into clear, actionable business insights
• Strong written communication skills; ability to deliver concise, direct, buyer‑ready summaries
• Experience working with BI tools and ERP systems is not necessary but preferred

Demonstrated Competencies:

• Strong problem‑solving skills with the ability to identify patterns, trends, and opportunities in complex data
• Comfort working in environments where KPIs and priorities evolve based on customer and business needs
• Ability to communicate insights clearly to both technical and non‑technical stakeholders
• Inquisitive, open‑minded, and receptive to coaching and feedback
• Practical, business‑oriented mindset focused on impact, not just reporting
• Ability to operate with increasing autonomy over time
• Strong attention to detail while maintaining a high‑level business perspective
• Organized, disciplined approach to managing multiple analyses and deadlines

Main Responsibilities:

• Analyze retail POS, inventory, and sales data to identify performance trends and growth opportunities
• Evaluate SKU productivity, assortment effectiveness, and item‑level performance across retail accounts
• Develop recurring Excel‑based analyses to support pricing, promotions, and customer discussions
• Translate large datasets into actionable insights and recommendations for internal and customer‑facing use
• Prepare clear, concise PowerPoint presentations and summaries for Sales leadership and customer meetings
• Partner with Sales and Account Management during customer reviews and planning sessions
• Collaborate with Supply Chain to flag demand shifts and forecasting implications
• Work with Marketing to support promotional opportunities and stocking recommendations
• Compare customer POS data against internal shipment data using internal BI tools
• 10‑20% travel when required for customer meetings

Our client is an equal opportunity employer committed to diversity and inclusion in the workplace. Discrimination and harassment of any kind are prohibited on the basis of race, color, religion, sex, sexual orientation, national origin, disability, or any other protected characteristic as outlined by federal, state, or local laws.