Supply Chain Analyst II at Poly-Wood LLC

Syracuse, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jul, 26

Salary

0.0

Posted On

04 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Supply chain analysis, Data modeling, SQL, Databricks, Excel, Forecasting, Inventory management, Root cause analysis, Data visualization, Process improvement, Cross-functional collaboration, Reporting, Analytical skills, Strategic planning, Data quality management

Industry

Furniture and Home Furnishings Manufacturing

Description

Description TURN DATA INTO DECISIONS THAT DRIVE OUR SUPPLY CHAIN FORWARD. POLYWOOD® is looking for a Supply Chain Analyst II who thrives on turning complex data into clear, actionable insights. This role is perfect for someone who enjoys solving real business problems, working cross-functionally, and building data-driven solutions that improve service, inventory, and operational performance. If you’re energized by analytics, collaboration, and continuous improvement, this is an opportunity to make a meaningful impact across our manufacturing supply chain. What You’ll Do: • Analyze data across demand, supply, production, and inventory to identify trends and opportunities • Build and maintain reports, dashboards, and data models that support both daily operations and strategic decisions • Partner with supply chain and sales teams to improve forecasting accuracy, service levels, and inventory health • Translate complex data into clear, actionable insights for a wide range of stakeholders • Investigate supply chain issues, perform root cause analysis, and recommend solutions • Support continuous improvement initiatives and track key performance metrics • Collaborate with IT and data teams to enhance data quality and accessibility, including tools like Databricks --------------------------------------------------------------------- What You Bring: • Bachelor’s degree in Supply Chain, Business Analytics, Engineering, or related field • 3 to 5 years of experience in a manufacturing supply chain environment • Strong analytical skills with experience in SQL and Databricks or similar platforms • Experience building reports and visualizations using Excel or similar tools • Advanced Excel skills and a strong attention to detail --------------------------------------------------------------------- How You’ll Succeed: • You communicate clearly and collaborate effectively across teams • You can balance multiple priorities in a fast-paced environment • You are detail-oriented while still understanding the bigger picture • You are curious, proactive, and motivated to improve how things work --------------------------------------------------------------------- Why You’ll Love Working With Us: • Meaningful Impact: Your insights directly influence how we plan, produce, and deliver • Cross-Functional Exposure: Work closely with operations, finance, sales, and IT • Growth Opportunities: Expand your technical and strategic skillset • Collaborative Culture: Join a team that values curiosity, ownership, and continuous improvement --------------------------------------------------------------------- About Us At POLYWOOD®, we design and build outdoor furniture that brings people together and stands the test of time. We do this using sustainable materials like our genuine POLYWOOD® lumber made from recycled plastics. But what truly sets us apart is our people. Every improvement, every innovation, and every success starts with a team that is committed to doing great work together. If you’re ready to turn data into impact, we’d love to meet you. Apply today. POLYWOOD is an equal opportunity employer. POLYWOOD evaluates qualified applicants without regard to characteristics protected by federal, state, or local laws.

Responsibilities

The Supply Chain Analyst II will analyze data across demand, supply, and inventory to identify trends and build actionable data models. They will collaborate with cross-functional teams to improve forecasting accuracy, service levels, and overall operational performance.