# Senior Service Parts Forecasting Manager

**Company:** [Zoox](https://hotfix.jobs/companies/zoox)
**Location:** Hayward, CA
**Role:** Data Analytics
**Salary:** $154k – $185k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, R, SAP, Statistical Modeling, Time-Series Analysis, Predictive Analytics, Tableau, Power BI, Looker
**Posted:** 2026-05-12

> Leads spare parts demand forecasting, builds predictive models and dashboards using SQL/Python/R to ensure fleet uptime, identifies supply risks, and collaborates cross-functionally on inventory planning. Requires 5+ years in supply chain analytics and bachelor's degree.

## Job Description

## Responsibilities

- Own the spare parts demand forecasting model using consumption data, telemetry, and failure trends to develop proactive replenishment plans that minimize fleet downtime.
- Build predictive planning dashboards and track KPIs (forecast accuracy, parts availability) to monitor inventory health and present actionable insights to senior leadership.
- Identify supply risks (lead time changes, EOL parts, shortages) and provide accurate long-range demand signals to suppliers to drive mitigation strategies.
- Partner cross-functionally with Engineering, Fleet Operations, and Supply Chain to incorporate vehicle changes and new parts into the demand plan.
- Drive alignment on inventory investment decisions, balancing high service-level attainment against working capital efficiency.

## Qualifications

- Bachelor's degree in Supply Chain, Industrial Engineering, Data Science, Business Operations, or a related field.
- 5+ years in demand forecasting, inventory planning, or supply chain analytics within a service parts or aftermarket environment.
- Proficiency in statistical modeling, time-series analysis, and predictive analytics applied to spare parts or MRO inventory.
- Strong data analytics skills (**SQL**, **Python**, **R**, or equivalent) to build and maintain forecasting models from complex datasets.
- Experience with ERP and inventory management systems (**SAP** preferred).
- Exceptional cross-functional collaboration skills, with the ability to translate complex analytical outputs into executive-ready recommendations in a fast-paced environment.

## Bonus Qualifications

- Master's degree in a related field and/or industry-recognized supply chain certifications (APICS CPIM, CSCP, or equivalent).
- Experience in the automotive, autonomous vehicle, or aerospace industries, particularly supporting high-mix, low-volume parts or new city launches.
- Familiarity with machine learning techniques for demand sensing and experience with advanced planning systems (**Kinaxis**, **o9**, **Blue Yonder**, etc.).
- Proficiency in data visualization tools (**Tableau**, **Power BI**, **Looker**) to enhance reporting and inventory health dashboards.

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