Supply Planning Analytics Consultant
About The Position
Seeking a Supply Planning Analytics Consultant with consumer electronics experience to support supply planning, forecasting, inventory optimization, and analytics initiatives. The consultant will combine supply chain business knowledge with AI-powered analytics expertise and experience working in Databricks-driven data environments. This is an onsite role in Sunnyvale, California, for an initial 12-month duration with possible extensions. The stated rate is $70–$80 per hour, depending on experience, all-inclusive. The role supports supply planning, forecasting, inventory, and operational planning initiatives; uses AI-powered analytics and LLM-based solutions to produce business insights and improve decision-making; and analyzes large datasets to identify trends, risks, and opportunities. It also partners with Data Engineering teams on Databricks data pipelines and analytics workflows, develops reporting, dashboards, KPIs, and planning metrics, and collaborates with business stakeholders to support data-informed planning decisions.
Requirements
- At least 7 years of Supply Planning, Demand Planning, or Supply Chain Analytics experience.
- Consumer electronics industry experience.
- Strong functional knowledge of supply planning processes.
- Experience leveraging AI, Generative AI, or enterprise AI platforms for business analytics.
- Hands-on experience with Databricks (DBX).
- Experience working with Data Engineering teams on data pipelines and analytics solutions.
- Advanced SQL skills and strong analytical skills.
- Must be local and willing to work onsite in Sunnyvale, California.
Nice To Haves
- Python, Spark, and cloud analytics experience.
- Experience with enterprise AI platforms such as Copilot, ChatGPT Enterprise, Gemini, Claude, Dataiku, Palantir, or C3 AI.
- Expertise in forecasting, inventory optimization, and supply chain modeling.
- Experience supporting large-scale technology or hardware organizations.
Responsibilities
- Support supply planning, forecasting, inventory, and operational planning initiatives.
- Use AI-powered analytics tools and LLM-based solutions to generate business insights and improve decision-making.
- Analyze large datasets to identify trends, risks, and opportunities.
- Partner with Data Engineering teams to support and enhance data pipelines and analytics workflows in Databricks.
- Develop reporting, dashboards, KPIs, and planning metrics.
- Collaborate with business stakeholders to drive data-informed planning decisions.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
