Senior Supply Chain Data Analyst - Forecast & Analytics

Core Health & Fitness; Lancaster (TX); Hybrid; USD 75,000 - 90,000; Full time

Benefits offered by this job

ESOP

Job summary

Core Health & Fitness is seeking a Supply Chain Data Analyst to collect, analyze, and interpret supply chain data to support decision-making and drive operational efficiency. You will develop and analyze demand forecasts, support inventory planning, and collaborate with sales, operations, and service teams.

The role requires 5–10 years of supply chain analytics experience, advanced Excel skills, and proficiency with SQL/Python; experience with ERP systems like Oracle or SAP is preferred.

Qualifications

• Bachelor’s degree in a relevant field (supply chain, analytics, etc.).
• 5–10 years of experience in supply chain analytics or related field.
• Advanced Excel; SQL and/or Python preferred.
• Experience with ERP systems (Oracle, SAP or equivalent).
• Familiarity with forecasting techniques and data analysis.

Responsibilities

• Collect, clean, and analyze supply chain data to develop forecasts.
• Support monthly ESOP process to align supply and demand plans.
• Improve inventory availability and supplier performance via data.
• Create reports, dashboards, and performance metrics.
• Translate complex datasets into clear insights for leadership.

Skills

Data analysis

Power BI

Tableau

Excel

SQL

Python

ERP/MRP

Forecasting

Problem-solving

Communication

Collaboration

Education

Bachelors in Supply Chain Management

Business Analytics

Data Science or STEM field

Tools

Oracle ERP

SAP ERP

Job description

Core Health & Fitness is seeking a Supply Chain Data Analyst to collect, analyze, and interpret supply chain data to support decision-making and drive operational efficiency. You will develop and analyze demand forecasts, support inventory planning, and collaborate with sales, operations, and service teams.

The role requires 5–10 years of supply chain analytics experience, advanced Excel skills, and proficiency with SQL/Python; experience with ERP systems like Oracle or SAP is preferred.