Supply Chain Analyst

Sensient

2d•$70,000 - $90,000•Onsite

About The Position

At Sensient Technologies, we are experts in science, art, and innovation of color and flavor. We are market savvy and visionary. We are problem solvers and we will be better with you. Sensient is growing! The Natural Color Conversion is here! We are adding a Supply Chain Analyst to be a significant contributor to the overall improvement of Supply Chain and Logistics efficiency and effectiveness for Sensient. You will utilize your data analytical skills to drive strategy and operational performance in the various areas of supply chain and logistics operations.

Requirements

A Bachelor’s degree in Supply Chain, Computer Science, Information Management, or Business (MBA Preferred).
Minimum of 5 years’ experience as a data analyst or business data analyst, preferably in Supply Chain or Logistics.
Experience using SQL, Access, and Excel.
Knowledge of statistics and experience using statistical packages for analyzing datasets. (Excel, Access, Tableau etc.).
Adept with queries, report writing and presenting findings.

Nice To Haves

PowerBI and Cognos experience preferred.

Responsibilities

Consolidate data into a centralized location.
Manage the development of standardized reporting and metrics to measure global logistics KPI's.
Plan and implement supply chain optimization projects (e.g., warehouse-slotting, route planning, carrier performance, affiliate replenishment).
Performing data quality analysis and managing follow-up resolution with service providers to ensure reporting accuracy.
Partner with Supply Chain leadership to drive carrier performance through active monitoring, reporting & scorecard development.
Understand the impact logistics planning has on end-to-end shipment execution (including how logistics planning impacts material releases).
Collect data on supply chain operations & research root cause and driving corrective action to improve Supply Chain and Logistics performance and achieve business objectives.
Use data to identify and highlight issues and opportunities to optimize supply chain, improve efficiency, and minimize logistic spend and costs.
Assembling and assessing commercial forecasts based on market and competitive information, sales history, customer trends, and product promotions to deliver improved forecast accuracy.