Data-Driven Supply Chain Analyst – Forecast & Optimize

Sensient Technologies; St. Louis (MO); On-site; USD 65,000 - 90,000; Full time

Benefits offered by this job

Competitive salary

Benefits package

Development opportunities

Job summary

Sensient Technologies is seeking a Supply Chain Analyst to improve overall logistics efficiency using data analytics. You will consolidate data, develop standardized reporting, and drive optimization projects across global logistics operations.

The role involves partnering with Supply Chain leadership, monitoring carrier performance, and delivering actionable insights to reduce costs and improve forecast accuracy. Onsite work at St. Louis, MO is expected.

Qualifications

• Bachelor's degree in Supply Chain, Information Management, or technical field; MBA preferred.
• 1-3 years' experience as a data analyst, preferably in Supply Chain or Logistics.
• Experience with SQL, Access, and Excel; Power BI and Cognos preferred.
• Familiar with statistics and analytic packages (Excel, Access, Tableau).
• Skilled in queries, report writing, and presenting findings.
• Experience with forecasting packages such as Logility or similar.

Responsibilities

• Consolidate data in a centralized location and develop standardized reporting for global logistics KPIs.
• Plan and implement supply chain optimization projects and ensure data quality with providers.
• Partner with leadership to monitor carrier performance and explain logistics impact on shipments.
• Collect data, identify root causes, and drive corrective actions to improve performance.
• Use data to highlight issues and opportunities to reduce spend and improve efficiency.
• Assemble forecasts from market data, sales history, and promotions to improve accuracy.

Skills

SQL

Access

Excel

Power BI

Cognos

Statistics

Report writing

Forecasting

Data analysis

Education

Bachelor's in Supply Chain

MBA Preferred

Tools

Logility

JDE

Job description

Sensient Technologies is seeking a Supply Chain Analyst to improve overall logistics efficiency using data analytics. You will consolidate data, develop standardized reporting, and drive optimization projects across global logistics operations.

The role involves partnering with Supply Chain leadership, monitoring carrier performance, and delivering actionable insights to reduce costs and improve forecast accuracy. Onsite work at St. Louis, MO is expected.