Data Analyst

Crusoe•San Francisco, CA

5d•$136,850 - $161,000•Onsite

About The Position

Join Crusoe as a Data Analyst, a dedicated hire on our central Data Science and Engineering team. This full-time position is focused on supporting the Data Center Infrastructure Group (DIG) — the arm of Crusoe that builds and operates data centers, spanning real estate, energy, construction, and parts lifecycle management. You will work directly with business stakeholders to own reporting, maintain data accuracy, and ensure that leaders across DIG have timely, reliable information to drive high-stakes operational decisions.

Requirements

3–5 Years of Analytics Experience: A proven track record in an analyst role, ideally within an enterprise, infrastructure, or operationally complex environment.
Strong SQL Skills: You will be querying BigQuery daily. Comfort working with large, complex datasets across multiple source systems is essential.
Reporting & Dashboard Expertise: Hands-on experience building and maintaining operational dashboards and reports. Familiarity with BI tools — we use Sigma as our primary tool, alongside Looker, Power BI, or Tableau experience also welcomed.
Executive Communication: Demonstrated ability to present data and insights clearly to senior and executive audiences — written, verbal, and visual.
Stakeholder Management: Proven experience working directly with business partners to gather requirements and deliver data products. You're credible in a room with construction project managers and equally comfortable reviewing a report with a finance lead.
Business Acumen: You understand why you are building something, not just what. You ask questions until the business context is clear and can explain your work to non-technical stakeholders.
Ownership: Track record of being the go-to person for "is this number right?" You take accountability for data accuracy and don't wait to be told when something is off.

Nice To Haves

Background in construction, manufacturing, supply chain, or other operationally complex industries.
Experience with ERP systems (SAP, Oracle, Sage Intacct, or similar) and the data that flows from them.
Python for data analysis or workflow automation.
Experience working in a fast-growing company where processes are still being built.

Responsibilities

Own Reporting & Dashboards: Build, maintain, and continuously improve the weekly and monthly reports and dashboards that DIG leadership relies on for operational decision-making. You are the DRI for accuracy and timeliness.
Partner with Business Stakeholders: Work directly with leaders across construction, real estate, energy, and procurement to understand their needs and translate business questions into analytical deliverables.
Track Complex Infrastructure Projects: DIG runs large, multi-year construction projects with long lead times and many vendors. You will build and maintain tracking for project progress, cost burn-down, timelines, and financial performance.
Champion Data Quality: Proactively surface anomalies and inconsistencies in key datasets. When a number is wrong, you own the investigation and follow-through — working with data engineers to resolve root causes.
Communicate Insights to Executive Stakeholders: Translate analytical findings into clear, executive-ready narratives. You'll regularly support senior leadership with the data and context they need to make informed decisions.