Supply Chain Business Analyst

Data Expert for Lifestyle Brands

We are seeking a data expert to help our client, a large private equity company focused on lifestyle brands, sports apparel, or sporting gear, make data-driven decisions.

This is a full-time, hybrid role that requires candidates to visit our North Carolina (Statesville) office at least once per week. The position includes benefits, 401k contributions, vacation time, and more.

Key Responsibilities:

">
• Data Acquisition and Management:
">
">
• Extract, clean, and validate data from various factory systems, ERP platforms, and other data sources.
">
• Develop and maintain data pipelines to ensure reliable and consistent data availability.
">
• Develop and maintain comprehensive Standard Operating Procedures (SOPs) for data pipelines; detailing source systems and updating procedures for users and technical stakeholders.
">
">
• KPI Development and Dashboard Creation:
">
">
• Collaborate with cross-functional teams to identify and define key performance indicators (KPIs).
">
• Design and develop visually compelling dashboards in Power BI and Excel to monitor operational performance.
">
• Ensure dashboards are user-friendly and provide actionable insights for stakeholders.
">
">
• Data Analysis:
">
">
• Support decision-making by preparing detailed reports and presentations based on analytical findings.
">
• Analyze complex data sets to identify trends, patterns, and opportunities for cross-functional investigation and improvement.
">
">
• Process Improvement:
">
">
• Partner with operations, supply chain, and manufacturing teams to identify inefficiencies and develop data-backed solutions.
">
• Monitor the impact of implemented changes and refine strategies as needed.
">
">
• Collaboration and Communication:
">
">
• Work closely with IT, finance, and operations teams to ensure data alignment and integrity.
">
• Presents insights and recommendations to senior leadership in a clear and concise manner.
">
">

Requirements:

">
">
• Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related field.
">
• 3 years of experience in data analysis, business intelligence, or a similar role.
">
• Advanced proficiency in Power BI, Power Query, Excel (Data modeling, VBA and DAX), and SQL (including SSRS).
">
• Experience working with ERP systems; familiarity with specific ERP systems used at the company is a plus.
">
• Strong analytical and problem-solving skills with the ability to manage and analyze large data sets.
">
• Excellent communication skills to convey complex data findings to non-technical audiences.
">
• Knowledge of manufacturing or supply chain operations is a strong advantage.
">
• Ability to work independently and collaboratively in a fast-paced environment.
">
">

Preferred Skills:

">
">
• Experience with Python (web apps) or R (including Shiny) for advanced data analysis.
">
• Familiarity with data visualization best practices.
">
• Lean Six Sigma certification or experience in process improvement methodologies.
">