Job Description

Our client, a large private equity company, focusing on lifestyle brands, sports apparel, or sporting gear, seeks a data expert to help them make data driven decisions! This is a full time, hybrid role. Candidates must be able to visit the North Carolina (Statesville) office at least once per week. This role included benefits, 401k contributions, vacation, the works!

Request from our Client:

This role will be responsible for acquiring data from multiple factory and ERP sources, creating robust KPIs and dashboards in Power BI and Excel, and supporting the analysis of complex data sets to drive profitability and operational efficiency improvements across the company.

ESSENTIAL DUTIES & RESPONSIBILITIES (includes other duties as required):

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.
• Present insights and recommendations to senior leadership in a clear and concise manner.

SKILLS/QUALIFICATIONS/EDUCATION/LICENSES & CERTIFICATIONS:

• 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, if any] 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.

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