Business Data Analyst

ARSAN International Consulting Group

  • Garner, North Carolina
  • 1 day ago

    Highlights

    An outstanding opportunity tojoin a global industrial manufacturing organization, a leader in engineeredproducts, during a critical period of commercial growth and increased relianceon customer-facing retail analytics to support sales, pricing, and assortmentdecisions. This is a critical, high-visibility role thatcombines hands-on data analysis, business insight development, and directcollaboration with the Supply Chain teams.

    Numbers & Facts

    LocationGarner, North Carolina

    Description

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

    An outstanding opportunity tojoin a global industrial manufacturing organization, a leader in engineeredproducts, during a critical period of commercial growth and increased relianceon customer-facing retail analytics to support sales, pricing, and assortmentdecisions.

    Our client is seeking a BusinessAnalyst to drive retail POS, inventory, and sales analysis in support of aNational Accounts organization. This is a critical, high-visibility role thatcombines hands-on data analysis, business insight development, and directcollaboration with the Supply Chain teams.
    The successful candidate will beaccountable for analyzing large retail datasets, identifying SKU and assortmentperformance trends, and translating data into actionable recommendations usedin internal and customer meetings, reporting directly to Retail commercialleadership, with strong visibility to Sales leadership and cross-functionalpartners supporting major retail accounts.

    Note: Our client will only acceptUSD 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 DataAnalyst 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

    Equal Opportunity Statement:

    Our client is an equalopportunity 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 anyother protected characteristic as outlined by federal, state, or local laws.

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