Supply Chain Planning & AI Analytics Consultant

Accroid Inc; Sunnyvale (CA); Presencial; USD 140.000 - 230.000; Jornada completa

Descripción de la vacante

Accroid Inc. in Sunnyvale, CA seeks a hands-on supply chain analytics professional to drive data-powered decisions across planning and forecasting. You will apply advanced SQL, PySpark, and Databricks to transform supply chain data into actionable insights.

Experience in consumer electronics and applying AI/LLMs to analytics is highly valued. You will partner with Data Engineering to optimize pipelines and deliver KPI dashboards that improve planning accuracy and operating efficiency.

Formación

• 7+ years of experience in Supply Planning, Demand Planning, or Supply Chain Analytics.
• Proven experience in the Consumer Electronics industry.
• Strong understanding of supply chain planning, forecasting, and inventory management.
• Hands-on Databricks (DBX) experience.
• Advanced SQL and strong data analysis capabilities.
• Experience using AI, Generative AI, or LLM-based solutions for analytics.
• Experience working with Data Engineering teams on data pipelines and analytical data solutions.

Responsabilidades

• Drive analytics initiatives across supply planning, forecasting, inventory, and operational planning.
• Apply Generative AI, LLMs, and enterprise AI tools to accelerate analysis and improve business decision‑making.
• Work with large datasets to identify supply‑demand gaps, inventory risks, trends, and optimization opportunities.
• Collaborate with Data Engineering teams to enhance Databricks data pipelines and analytics workflows.
• Build and maintain planning KPIs, dashboards, reports, and performance metrics.
• Translate business challenges into analytical solutions and actionable recommendations.
• Partner with supply chain leaders and cross‑functional teams to improve planning accuracy and operational efficiency.

Conocimientos

Supply Planning

Forecasting

Consumer Electronics

Advanced SQL

Generative AI

LLMs

Herramientas

Databricks

DBX

Python

PySpark

Descripción del empleo

A hands‑on supply chain analytics professional with consumer electronics experience, strong SQL and Databricks capabilities, and the ability to combine supply planning expertise with AI-powered analytics to deliver measurable business value.

Top Must-Have Skills

• Supply Planning & Forecasting – Strong functional expertise in end‑to‑end supply chain planning.
• Consumer Electronics Industry – Relevant industry experience is mandatory.
• Databricks (DBX) – Hands‑on experience working in Databricks‑based data environments.
• Advanced SQL & Data Analytics – Ability to analyze complex datasets and generate actionable insights.
• AI / Generative AI / LLMs – Experience applying AI‑powered tools to business analytics and decision‑making.
• Data Pipeline Collaboration – Experience partnering with Data Engineering teams to support analytics workflows.

Skills :-

Supply Planning | Supply Chain Analytics | Consumer Electronics | Databricks | DBX | Advanced SQL | Generative AI | LLM | AI Analytics | Demand Forecasting | Inventory Optimization | Data Engineering | Python | PySpark

• Drive analytics initiatives across supply planning, forecasting, inventory, and operational planning.
• Apply Generative AI, LLMs, and enterprise AI tools to accelerate analysis and improve business decision‑making.
• Work with large datasets to identify supply‑demand gaps, inventory risks, trends, and optimization opportunities.
• Collaborate with Data Engineering teams to enhance Databricks data pipelines and analytics workflows.
• Build and maintain planning KPIs, dashboards, reports, and performance metrics.
• Translate business challenges into analytical solutions and actionable recommendations.
• Partner with supply chain leaders and cross‑functional teams to improve planning accuracy and operational efficiency.

Mandatory Requirements

• 7+ years of experience in Supply Planning, Demand Planning, or Supply Chain Analytics.
• Proven experience in the Consumer Electronics industry.
• Strong understanding of supply chain planning, forecasting, and inventory management.
• Hands‑on Databricks (DBX) experience.
• Advanced SQL and strong data analysis capabilities.
• Practical experience using AI, Generative AI, or LLM‑based solutions for analytics.
• Experience working with Data Engineering teams on data pipelines and analytical data solutions.

Good to Have

• Python, PySpark, and cloud‑based analytics experience.
• Familiarity with enterprise AI platforms such as Microsoft Copilot, ChatGPT Enterprise, Gemini, Claude, Dataiku, Palantir, or C3 AI.
• Knowledge of inventory optimization, forecasting models, and supply chain analytics techniques.
• Experience in large‑scale technology, electronics, or hardware organizations.