Data Analyst

Columbia Helicopters•Aurora, OR

About The Position

The Data Analyst for Supply Chain & Operations is responsible for transforming supply planning and operational data into actionable insights that drive decision-making across procurement, maintenance, and inventory management. This role focuses on building, analyzing, and optimizing data models, dashboards, and reporting tools to improve demand forecasting, inventory performance, and overall supply chain efficiency.

Requirements

2–4 years of experience in Data Analysis, Business Analytics, Supply Chain Analytics, or a related field
Bachelor’s degree in Data Analytics, Business, Supply Chain, Finance, Statistics, or a related discipline (or equivalent experience)
Strong proficiency in data analysis tools such as Excel (advanced), SQL, and/or Python
Experience with data visualization tools (Power BI, Tableau, or similar)
Strong analytical and problem-solving skills with the ability to translate data into actionable insights
Excellent communication skills with the ability to present complex data in a clear and concise manner
Ability to manage multiple priorities in a fast-paced, data-driven environment

Nice To Haves

Familiarity with ERP systems or supply chain data environments preferred
Understanding of supply chain, inventory management, or operations analytics concepts preferred
Experience with data quality management, data governance, or process improvement methodologies (Lean/Six Sigma) is a plus

Responsibilities

Analyze supply chain, inventory, and demand data to identify trends, risks, and opportunities that impact operational performance and aircraft readiness
Develop and maintain dashboards, reports, and data visualizations to provide visibility into key metrics such as inventory levels, demand forecasting accuracy, and supply exceptions
Partner with Supply Chain, Procurement, and Maintenance teams to translate business questions into data-driven insights and recommendations
Monitor and improve data quality across planning systems, ensuring accuracy, completeness, and consistency of critical datasets
Perform data modeling and forecasting analyses to support demand planning and inventory optimization
Identify inefficiencies in current processes and recommend data-driven improvements, automation opportunities, and workflow enhancements
Support continuous improvement initiatives by analyzing performance metrics and measuring the impact of changes
Extract, manipulate, and analyze large datasets using tools such as Excel, SQL, or other data platforms
Create and maintain documentation for data sources, reporting logic, and analytical processes
Communicate findings clearly to both technical and non-technical stakeholders through presentations, reports, and visualizations