Data-Driven Supply Chain Analyst

RBST Consulting; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

RBST Consulting seeks a Business Supply Analyst in the San Francisco Bay Area who thrives on data, operations, and supply chain analytics. You will analyze diverse datasets and develop dashboards to inform strategic decisions across operations, procurement, logistics, and finance.

You will build data models, identify trends, and support forecasting and process improvements, presenting insights to leadership and stakeholders with clarity and impact.

Qualifications

• Strong analytical and problem-solving capabilities.
• Experience with supply chain or business operations analytics.
• Advanced Excel and data visualization/reporting skills.
• Hands-on experience with SQL, Power BI, Tableau, or similar tools.
• Ability to work with large datasets and convert data into business insights.
• Strong communication and stakeholder management skills.

Responsibilities

• Analyze supply chain, inventory, demand planning, and operational data to support business decisions.
• Build dashboards, reports, and data models for supply and business performance tracking.
• Work closely with operations, procurement, logistics, and finance teams.
• Identify trends, risks, and optimization opportunities across the supply chain.
• Support forecasting, planning, and process improvement initiatives.
• Present actionable insights to leadership and cross-functional stakeholders.

Skills

Analytical thinking

Supply chain analytics

Communication

Stakeholder management

Problem solving

Data interpretation

Education

Bachelor’s degree in Supply Chain/Business/Analytics/Engineering

Tools

SQL

Power BI

Tableau

Excel

Job description

RBST Consulting seeks a Business Supply Analyst in the San Francisco Bay Area who thrives on data, operations, and supply chain analytics. You will analyze diverse datasets and develop dashboards to inform strategic decisions across operations, procurement, logistics, and finance.

You will build data models, identify trends, and support forecasting and process improvements, presenting insights to leadership and stakeholders with clarity and impact.