Supply Planning Analytics Consultant

Quantum Technologies. LLC; Sunnyvale (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC is seeking an experienced leader to drive supply planning, demand planning, and analytics within the Consumer Electronics sector.

You will oversee end-to-end supply chain initiatives, forecast demand, plan supply, and optimize inventory using AI-driven insights. You will collaborate with Data Engineering, leverage Databricks, SQL, Python, and enterprise AI platforms to transform complex business requirements into actionable recommendations, presenting findings to senior

Qualifications

• 7+ years of experience in Supply Planning, Demand Planning, or Supply Chain Analytics.
• Consumer Electronics industry experience is mandatory.
• Strong knowledge of supply planning and demand planning processes.
• Hands-on experience with Databricks (DBX).
• Advanced SQL and data analytics capabilities.
• Experience with AI, Generative AI, and enterprise AI platforms.
• Experience collaborating with Data Engineering and data pipelines.

Responsibilities

• Lead end-to-end supply planning, demand planning, and analytics initiatives.
• Analyze and optimize end-to-end supply chain operations including forecasting and inventory management.
• Develop forecasting models and inventory optimization strategies.
• Collaborate with Data Engineering to design data pipelines and analytics solutions.
• Apply AI-driven analytics to identify risks and inefficiencies and present recommendations to leadership.

Skills

Supply planning

Demand planning

Supply chain analytics

Forecasting

Data analytics

Stakeholder management

Communication

Tools

Databricks (DBX)

SQL

Python

Spark

Job description

Lead supply planning, demand planning, and supply chain analytics initiatives within the Consumer Electronics industry.

Analyze end-to-end supply chain operations, including demand forecasting, supply planning, inventory management, and optimization.

Leverage AI, Generative AI, and enterprise AI platforms to improve supply chain analytics and business decision-making.

Work hands-on with Databricks (DBX) to develop, analyze, and manage large-scale supply chain datasets.

Write advanced SQL queries for data extraction, transformation, analysis, and reporting.

Collaborate with Data Engineering teams to design, develop, and optimize data pipelines and analytics solutions.

Develop forecasting models, inventory optimization strategies, and supply chain planning solutions.

Apply AI-driven analytics to identify supply chain risks, demand fluctuations, and operational inefficiencies.

Utilize enterprise AI platforms such as ChatGPT Enterprise, Microsoft Copilot, Gemini, Claude, Dataiku, Palantir, and C3 AI.

Work with Python, Spark, and cloud analytics technologies to support large-scale data processing.

Translate complex business requirements into actionable analytical solutions and recommendations.

Partner with supply chain, planning, data engineering, and technology teams to deliver business insights.

Present analytical findings and recommendations to senior leadership and C-level stakeholders.

Support large-scale technology and hardware organizations with supply chain transformation and analytics initiatives.

Required Skills :

• 7+ years of experience in Supply Planning, Demand Planning, or Supply Chain Analytics.
• Mandatory Consumer Electronics industry experience.
• Strong functional knowledge of supply planning and demand planning processes.
• Hands-on experience with Databricks (DBX).
• Advanced SQL and data analytics.
• Experience with AI, Generative AI, and enterprise AI platforms.
• Experience working with Data Engineering teams and data pipelines.
• Strong forecasting, inventory analytics, and supply chain optimization knowledge.
• Excellent analytical, communication, and stakeholder management skills.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.