Data Analyst

VEGA Americas•Mason, OH

12h

About The Position

The Data Analyst translates operational and transactional data into actionable insights that improve Inventory optimization, supplier performance, procurement efficiency, material flow and warehouse operations, as well as cost, service level, and working capital performance. VEGA Americas manufactures, distributes, and services process instrumentation to measure level, density, weight, and pressure. Our products have been making industrial processes safer and more efficient for over 60 years. As an employee, you’ll find VEGA Americas commits itself to the highest quality standards and respect for the individual needs of employees, customers, vendors, and shareholders. VEGA has been awarded a Cincinnati Enquirer’s Top Workplace Award for 9 years running! Our Mission: With innovative technologies and services, we develop solutions that inspire. Through our sense of simplicity and our focus on people, we are looking to the future with curiosity. Locally grounded and globally connected, together we give values a home. Our Values: Curiosity, Humanity, Simplicity, Connectivity.

Requirements

2 years of related experience.
Driver of continuous improvement, proactive approach to problem-solving, with a high sense of urgency.

Nice To Haves

Bachelor’s Degree in Supply Chain Management or Business Analytics is preferred
Experience with Excel, ERP systems, data interpretation, and building simple dashboards is preferred.

Responsibilities

Extract, clean, and consolidate data from systems such as SAP
Build and maintain reliable datasets and data models for: Inventory positions, demand and forecast data, purchase orders, and supplier lead times, and ensure data integrity through validation rules and audits.
Design and maintain dashboards for: Inventory (DOH, turns, excess/obsolete), Supplier performance (lead time, quality, delivery adherence), Procurement KPIs (spend, contract compliance)
Automate recurring reports and eliminate manual processes
Analyze safety stock levels to support customer orders
Provide data on demand variability and how we can improve forecast accuracy and order policies
Support inventory strategies to optimize inventory spend and avoid stockouts
Support sourcing decisions with spend analysis, cost breakdowns and benchmarking.
Provide analytics to identify supplier risks and performance gaps.
Build forecasting models using backward and forward-looking data (e.g., historical demand, open quotes, quote to order conversion rate, etc.)
Other duties as assigned by management.