Combining decades of research, top talent and new technologies, we’re designing and building commercially viable fusion power plants. And working with policymakers and suppliers to build the energy industry of the future.

We’re in the best position to make it happen. Since 2018, we’ve raised over $2 billion in capital – more than any other fusion energy company in the U.S.

Now we’re looking for more thinkers, doers, builders, and makers to join us. People who’ll bring new perspectives, solve tough problems, and thrive as part of a team.

If that’s you and this role fits, we want to hear from you.

Join the power movement as a Supply Chain Analyst

The Supply Chain Analyst II will be a key contributor to driving data fluency and data-driven decision-making within the Supply Chain organization and beyond. Focusing on supporting our data infrastructure development and improving data accessibility, this role will leverage analytical skills and an interest in ERP systems, database structures, and data analysis techniques to identify and solve problems, ultimately enabling timely decision-making. The ideal candidate will be highly motivated with a passion for identifying and resolving process inefficiencies and will play a significant role as CFS scales towards the demands of the ARC era by developing databases, exception reports, dashboards, and data standards.

What you'll do:

Data Access & Understanding:
Develop organizational expertise in accessing and understanding data structures, especially within ERP and relational databases
Design and create database views, establish schema connections, and identify optimal data sources for reporting and analytics
Monitor data integrity and consistency across systems, proactively identifying and reporting discrepancies
Collaborate with ERP and Enterprise Data teams to understand data structures and ensure effective data accessibility for Supply Chain and the broader organization
Process Improvement & Data Quality:
Identify manual and non-standardized Supply Chain processes, analyze their impact on data quality and efficiency, and recommend improvements
Foster continuous improvement initiatives to streamline Supply Chain processes and enhance data accuracy and collection methods at the source
Assess data quality in various databases and contribute to developing strategies for improving data input and collection
Data Tooling & Analytics Enablement:
Understand data requirements, develop data models and structures within databases, and create dashboards in Tableau
Enable Supply Chain and cross-functional teams to effectively access and utilize data through training and support on data tools and best practices
Develop and maintain data access documentation, relevant database structures, and training guides to enhance organizational data fluency
Technical Debt Reduction & System Maintenance:
Identify and address technical debt related to data accessibility and workflows by proposing and implementing sustainable solutions
Participate in the scoping, design, implementation, and maintenance of Supply Chain systems, ensuring effective data access and quality
Collaboration & Innovation:
Collaborate with Finance, Manufacturing, and Engineering to support PLM, MES, ERP, and MRP data needs, including budgetary and cashflow requirements
Explore applying AI/LLM technologies to improve data ingestion, sorting, and quality; build predictive models; and boost team productivity
Communicate effectively with technical and non-technical stakeholders regarding data access and analysis capabilities
Mentor team members, peers, and superiors on data access and analysis techniques

What we’re looking for:

Bachelor’s degree in a relevant field such as Supply Chain, Business Analytics, Data
2-4 years of experience in a data-related role involving data analysis, business analysis, systems support, or computer programming
1-2 years of experience working with ERP systems and understanding their structure
Demonstrated experience querying and manipulating data using SQL or equivalent
Strong understanding of ERP data concepts and master data principles
Proficiency in SQL for data querying and manipulation (basic to intermediate level)
Experience in gathering and documenting cross-functional requirements
Strong analytical and problem-solving skills with a proactive approach
Ability to learn quickly and adapt to evolving data landscapes and systems
Ability to manage tasks independently, follow through on assignments, and meet deadlines with minimal supervision
Good judgment and the ability to contribute to decision-making with a focus on overall company benefit
Ability to prioritize and manage tasks effectively in a dynamic environment
Effective communication skills, both written and verbal, including the ability to explain technical concepts to non-technical audiences
Strong interpersonal skills and the ability to build relationships across teams
Strong computer literacy, including proficiency in spreadsheet software (e.g., Google Sheets, Excel)

Bonus points for:

Experience in a fast-paced or growth-oriented environment
Exposure to or experience in a manufacturing or supply chain environment
Demonstrated ability to identify process inefficiencies and propose solutions
Experience with Tableau, Excel, Python and other programming languages

Must-have Requirements:

Perform extended activities such as stooping, climbing, typing, standing, sitting, etc.
Willingness to travel or work required nights/weekends/on-call occasionally
Work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, lead (Pb), high voltage, high current, pressure systems, and cryogenics

#LI-Onsite

At CFS, we excel in fast-paced environments, driven by our values of integrity, execution, impact, and self-critique. As we grow, we’re eager to bring on mission-driven folks who offer diverse perspectives and fresh ways to tackle challenges.

We value diversity deeply and are proud to be an equal opportunity employer by choice. We consider all qualified applicants equally, regardless of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law.

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