Remote Supply Chain Data Analyst: Forecasting & Dashboards

Placements24; United States; Remote; USD 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Remote work flexibility

Professional development stipend

Flexible working hours

Paid time off

Zusammenfassung

Placements24 is seeking a highly analytical Supply Chain Data Analyst to join its fully remote team. You will transform raw supply chain data into actionable insights that drive strategic decisions, collecting, cleaning, and interpreting complex datasets related to inventory, logistics, and operations.

You will develop predictive models, build dashboards, and present findings to stakeholders with clear visuals.

Qualifikationen

• Bachelor's degree in a quantitative field.
• Proven experience as a Data Analyst focused on supply chain or logistics data.
• Proficiency with SQL, Python, and/or R for data manipulation.
• Experience with data visualization tools like Tableau or Power BI.
• Strong statistical understanding and modeling techniques.
• Excellent remote communication and stakeholder presentation skills.

Aufgaben

• Collect, process, and analyze large volumes of supply chain data from multiple sources.
• Develop and maintain dashboards and reports to track KPIs for inventory, transportation, and warehouse operations.
• Identify trends and opportunities for process improvement within the supply chain.
• Build and validate predictive models to forecast demand and optimize inventory.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Present findings to management using visualizations and clear storytelling.

Kenntnisse

SQL

Python

R

Tableau

Power BI

Ausbildung

Bachelor's degree in a quantitative field

Tools

SQL

Python

R

Jobbeschreibung

Placements24 is seeking a highly analytical Supply Chain Data Analyst to join its fully remote team. You will transform raw supply chain data into actionable insights that drive strategic decisions, collecting, cleaning, and interpreting complex datasets related to inventory, logistics, and operations.

You will develop predictive models, build dashboards, and present findings to stakeholders with clear visuals.