At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality.
For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.
At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.
We are looking for a Materials Analyst to join our team in one of today’s most exciting technologies. This role will report to the Senior Manager, Global MRP Systems and will be based in Fremont, CA . This is a fully on-site, in office role 5 days a week .
Position Overview
This role combines materials planning expertise with advanced data analytics and visualization capabilities to drive smarter, faster, and more scalable decision-making across manufacturing and supply chain operations. The ideal candidate will lead initiatives to transform data into actionable insights , develop scalable dashboards and reporting frameworks , and optimize planning processes through data-driven methodologies .
While supporting demand and material planning activities, this position plays a critical role in modernizing how data is leveraged , improving visibility into supply chain performance, and enabling proactive decision-making.
Key Responsibilities
Data Analytics & Visualization
- Design, develop, and maintain interactive dashboards and reporting tools (e.g., Amazon QuickSight) to monitor key supply chain and manufacturing metrics (inventory, demand, WIP, service levels, etc.)
- Transform raw ERP and operational data into clear, actionable insights for cross-functional stakeholders
- Identify trends, anomalies, and opportunities through data exploration and statistical analysis
- Establish standardized KPIs and reporting frameworks to improve transparency and alignment across teams
- Lead data-driven process improvement initiatives to enhance planning accuracy, material availability, and inventory optimization
- Analyze and optimize replenishment strategies, planning parameters, and ERP system configurations
- Develop scalable tools, models, and workflows that improve efficiency and reduce manual effort
- Drive continuous improvement through automation, data modeling, and system enhancements
Supply Chain & Materials Planning Support
- Support material and demand planning activities through data-backed decision-making and scenario analysis
- Monitor supply-demand signals and provide recommendations to optimize production schedules and inventory levels
- Collaborate with procurement, manufacturing, logistics, and engineering to ensure alignment between plans and execution
- Improve data integrity and reliability within ERP systems, including planning parameters, BOMs, and routings
Cross-functional Collaboration
- Partner with stakeholders across manufacturing, supply chain, engineering, and leadership to define data needs and deliver insights
- Serve as a key contributor in aligning operational strategies with analytical findings
- Communicate complex data insights in a clear, concise, and impactful manner
Skills & Experience
- Bachelor’s degree in Statistics, Data Science, Supply Chain, Engineering, or a related field
- 1–3 years of experience in data analytics, supply chain analytics, or materials planning
- Strong experience with data visualization tools (Power BI, Tableau, etc.) and dashboard development
- Proficiency in data analysis tools (SQL, Python, Excel, or similar)
- Hands-on experience working with ERP systems (Oracle preferred) and large datasets
- Strong analytical thinking, problem-solving skills, and attention to detail
- Ability to translate business problems into data-driven solutions
- Excellent communication skills with the ability to work cross-functionally in a fast-paced environment
Preferred Qualifications
- Experience in supply chain analytics or manufacturing operations
- Familiarity with statistical modeling, forecasting, or optimization techniques
Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.
At Bloom Energy, we are committed to supporting the well-being of our employees and their families. Our comprehensive benefits package for eligible employees includes competitive Medical, Dental, and Vision plans with a large employer contribution, a 401(k) Retirement Plan with company match, generous Mental Health Support services, Legal services, virtual Physical Therapy access, and Fertility & Family Forming benefits.
Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.
$87,800.00 - $126,200.00
