Master Data Analyst

Flex•Austin, TX

2d•Onsite

About The Position

Flex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world. A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary. Summary: The “Master Data Analyst” will be based in Austin, Texas, reporting to Paola Flores.

Requirements

Typically requires a Bachelor’s degree in related field or equivalent experience.
Typically requires 5+ year of experience in materials or related field.
A background in manufacturing is desired.

Responsibilities

Provide research and operational expertise to enhance the efficiency and cost effectiveness of the function.
Maintain, consolidate, and verify data, prepare summary reports, spreadsheets and charts based on the research of data from multiple sources to hold up the relevant function or department.
Work on process optimizations and system controls & automation.
Leverage and improve dashboards and online reports to provide better insight through data.
Create and review efficient procedures for all records, including invoice/purchase orders and relevant documentation.
Perform general reporting and research activities for score carding of suppliers and keep system updated reflecting current acceptance.
Enter, update, and maintain information on various business systems and/or various departments (e.g: Warehouse, Planning, Operations).
Maintains logistic records such as inbound and outbound shipments, accurate import compliance for inbound international shipments or other logistics information.
Implement and maintain record-keeping systems to comply with all customs.
Maintain and update part number database with most up to date part details/master data collected internally and from suppliers.
Collect and maintain part details and identify mismatches and incompliances.
Prepare liability reports for excess and obsolete management, commodity risk positions, logistics performance and key focus areas for site or corporate requirements.
Calculate cost savings & avoidance and provide reports and metrics.
Pull reports from databases, dashboards, enterprise resource planning system or other relevant systems.
Preparation of recommendation to management based on the research of data.