Resource Label Group, LLC is a leading full-service provider of label and packaging solutions with a diverse product offering which includes pressure sensitive labels, shrink sleeves, RFID/NFC technology, sustainable product solutions, scent activation technology, pharmaceutical packaging and fulfillment services. Resource Label provides products and services for the food, beverage, chemical, household products, personal care, nutraceutical, pharmaceutical, medical device, and technology industries. With locations across the U.S. and Canada, Resource Label Group provides national leadership and scale to deliver capabilities, technologies, systems, and creative solutions that customers require.
We are currently seeking a motivated and results-oriented Data Analyst to join our Operations team at Resource Label Group. This individual will collaborate closely with various departments to analyze and develop data & key performance indicators to facilitate strong operational results. This position will report to the Director, Strategic Operations and SIOP, and plays a critical role in identifying areas for enhanced efficiencies in the business.
- 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
- 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 (not Required)
- 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