Supply Chain Analyst: Data-Driven, In-Office TX

Centric Fiber Op Co, LLC; The Woodlands (TX); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Medical, dental, vision

Generous PTO

10 holidays

401(k) plan with company match

Job summary

Centric Fiber is seeking a Supply Chain Analyst I to join the in-office team in The Woodlands, TX. You will manage supply and demand models, support procurement strategies, and ensure contractor and fleet governance across multiple sites.

This role offers hands-on exposure to procurement, inventory, and vendor management in a growth-oriented environment. The position emphasizes data-driven analysis, model maintenance, and collaboration with Field Operations to optimize costs and service

Qualifications

• Analytical ability demonstrated through coursework, internships, or experience.
• Proficiency in Excel with forecasting or scenario modeling.
• Bachelor's degree in a related field or equivalent experience.

Responsibilities

• Maintain and curate supply and demand models forecasting material and equipment needs.
• Monitor lead times, safety stock, and reorder points; flag shortages before impact on schedules.
• Support labor rate negotiations and strategic sourcing through RFQ processes.
• Manage contractor compliance documentation, invoices, and scorecards with Field Ops alignment.
• Oversee warehouse inventory accuracy and fleet/utilization data.

Skills

Analytical skills

Excel proficiency

Attention to detail

Organizational skills

Communication skills

ERP literacy

SQL

Python

Education

Bachelor's degree in Supply Chain Management

Tools

SQL

Python

ERP systems

Job description

Centric Fiber is seeking a Supply Chain Analyst I to join the in-office team in The Woodlands, TX. You will manage supply and demand models, support procurement strategies, and ensure contractor and fleet governance across multiple sites.

This role offers hands-on exposure to procurement, inventory, and vendor management in a growth-oriented environment. The position emphasizes data-driven analysis, model maintenance, and collaboration with Field Operations to optimize costs and service