About This Role:Crusoe is on a mission to unlock value in stranded energy resources through the power of computation and to align the future of computing with the future of the climate. As we scale, data-driven decision-making is paramount to our success.
We are seeking a detail-oriented and intellectually curious
Strategic Sourcing Data Analyst to be the intelligence engine of our Procurement Shared Services team. In this role, you will go beyond simple reporting to provide actionable insights that drive cost savings, optimize working capital, and improve operational efficiency. You will play a key role in our digital transformation, utilizing AI-driven tools and advanced procurement platforms to automate bid analysis and supplier performance tracking.
This is a 100% on-site role in Denver, Colorado. What You'll Be Working On:- Strategic Reporting: Develop and maintain automated dashboards in Tableau or Power BI to track KPIs such as cost avoidance, contract cycle times, and payment term compliance.
- Spend Analysis: Analyze large-scale procurement datasets (e.g., Coupa, SAP) to identify trends, leakage, and opportunities for negotiation or consolidation.
- Predictive Insights: Utilize statistical modeling to forecast lead times and market price fluctuations for long-lead equipment like transformers and breakers.
- Process Optimization: Partner with the "AI Task Force" to implement and refine LLM-based tools (like Gemini) for automated bid reviews and contract data extraction.
- Stakeholder Partnership: Act as a liaison between the Technical Power teams and Legal, translating data into "business speak" to support high-value negotiations and EPC agreements.
- Data Integrity & Governance: Oversee data accuracy within Jira and our Sourcing modules. Help design "Golden Rules" for data entry within Coupa to ensure audit-ready project tracking.
- Ad-Hoc Agility: Support the Senior Analyst with rapid-turnaround analysis on fragmented or "dirty" datasets to support immediate business needs.
What You'll Bring to the Team:- Experience: 1-3 years of experience in data analytics, preferably within the supply chain, procurement, or energy sectors.
- Technical Stack: * SQL: Proficiency in writing complex queries to extract data from relational databases.
- Visualization: Expert-level skills in Power BI, Tableau, or similar.
- Programming: Foundational knowledge of Python or R for data cleaning and statistical analysis.
- Tools: Familiarity with ERP/Sourcing tools (e.g., Coupa, SAP) and project management software (Jira).
- Analytical Rigor: Ability to calculate complex metrics like Working Capital Impact and Total Cost of Ownership (TCO).
- Communication: Proven ability to present data-heavy findings clearly to non-technical executive stakeholders.
Bonus Points:- Experience with Generative AI and its application in automating business workflows.
- Knowledge of the energy/utilities sector, specifically regarding high-voltage equipment sourcing.
- A "self-starter" mentality-the ability to identify a problem and build the analytical framework to solve it independently.
Benefits:- Competitive compensation and equity packages
- Restricted Stock Units
- Paid time off, paid holidays & leave of absence programs
- Comprehensive health, dental & vision insurance
- Employer contributions to HSA account
- Paid parental leave
- Paid life insurance, short-term and long-term disability
- Professional development & tuition reimbursement
- Mental health & wellness support
- Commuter benefits (parking & transit)
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4% of salary
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
- Additional perks & programs specific to location
Compensation Range:Compensation will be paid in the range of $86,000 - $100,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and market alignment.
