Supply Chain Data Analyst

Placements24; United States; Remote; USD 70,000 - 110,000; Full time

Benefits offered by this job

Remote work flexibility

Professional development stipend

Flexible working hours

Paid time off

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

R

Tableau

Power BI

Education

Bachelor's degree in a quantitative field

Tools

SQL

Python

R

Job description

About the Role

Our client is seeking a highly analytical and detail-oriented Supply Chain Data Analyst to join their dynamic, fully remote team. This role will be central to transforming raw supply chain data into actionable insights that drive strategic decision-making. You will be responsible for collecting, cleaning, analyzing, and interpreting complex datasets related to inventory, logistics, and operational performance. The ideal candidate thrives on uncovering patterns, developing predictive models, and communicating findings clearly to stakeholders across the organization, all within a flexible remote setting.

Key Responsibilities

• Collect, process, and analyze large volumes of supply chain data from various sources.
• Develop and maintain performance dashboards and reports to track key metrics (KPIs) for inventory, transportation, and warehouse operations.
• Identify trends, anomalies, and opportunities for process improvement within the supply chain.
• Build and validate predictive models to forecast demand, optimize inventory levels, and assess potential risks.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Present findings and recommendations to management in a clear and concise manner, often through visualizations and presentations.

Requirements

• Bachelor's degree in Data Science, Statistics, Supply Chain Management, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst with a focus on supply chain or logistics data.
• Expertise in data manipulation and analysis tools such as SQL, Python (Pandas, NumPy), R, or similar.
• Proficiency in data visualization tools like Tableau, Power BI, or similar.
• Strong understanding of statistical concepts and modeling techniques.
• Excellent communication skills and the ability to explain complex data insights to non-technical audiences in a remote context.

Benefits

• Competitive salary and remote work flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for professional development, including online courses and certifications.
• Flexible working hours and paid time off.
• A collaborative and innovative remote work culture that values continuous learning and data-driven insights.