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Business Intelligence Analyst

2 months ago

Franklin Tennessee, United States Resource Label Group, Inc Full time
Job Description

Resource Label Group, Inc. is a leading provider of label and packaging solutions. We are seeking a highly motivated and results-oriented Data Analyst to join our Operations team.

Key Responsibilities:
  • Collect, clean, and analyze operational data from diverse sources to identify trends, patterns, and actionable insights.
  • Develop, manage, and enhance dashboards and reports using data visualization tools such as Excel, Tableau, and/or Power BI.
  • Collaborate with cross-functional teams to understand their data needs and deliver insights that drive decision-making.
  • Conduct ad-hoc analyses to solve specific operational problems and explore opportunities for process improvements.
  • Present data findings and recommendations clearly to stakeholders through visualizations and reports.
  • Identify areas for process optimization and propose data-driven solutions.
Requirements:
  • Background in data analysis, business intelligence, statistics, mathematics, operations management, supply chain, or a related field.
  • 2-4 years of experience in data analysis, business intelligence, or operations management roles.
  • Proficiency in data analysis tools and software, including Excel (pivot tables, power pivots, etc.), and data visualization tools like Tableau or PowerBI.
  • Strong analytical skills with experience in data cleaning, transformation, and statistical analysis.
  • Ability to develop and maintain interactive dashboards and reports.
  • Excellent communication skills with the ability to convey complex data insights to both technical and non-technical audiences.
  • Strong attention to detail and problem-solving skills.
  • Ability to manage multiple projects and prioritize effectively.
Preferred Qualifications:
  • Write and optimize SQL queries to extract and manipulate data from databases.
  • Proficiency utilizing DAX, Python, R, or SQL for advanced data analysis, automation, and statistical modeling.
  • Experience in supply chain, operations, manufacturing, or related fields.