Data Scientist, Analytics

Crusoe Energy Systems; San Francisco (CA); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Paid time off

401(k) matching

Mental wellness

Job summary

Crusoe Energy Systems is seeking a Data Analyst to join the central Data Science and Engineering team. The role focuses on supporting the Data Center Infrastructure Group (DIG) by owning reporting, ensuring data accuracy, and delivering timely insights to drive operational decisions.

You'll build and maintain dashboards, partner with leaders across construction, real estate, energy, and procurement, and track multi-year projects with multiple vendors.

Qualifications

• Experience with a modern data stack (BigQuery, dbt, Airflow or equivalents).
• Proven experience working directly with business partners to gather requirements and deliver data products.
• Strong SQL skills; daily querying BigQuery or similar systems.
• Experience building and maintaining dashboards and reports for operational use; familiarity with BI tools (Sigma, Looker, Power BI, Tableau).
• 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.
• Familiarity with master data management concepts and cross-system entity resolution.
• Experience working in a fast-growing company where processes are still being built.
• Python for data analysis is a plus but not required.
• Experience with AI-assisted coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate analytical work.

Responsibilities

• Own Reporting & Dashboards; build, maintain, and improve weekly and monthly reports for DIG leadership.
• Partner with business stakeholders to translate questions into analytical deliverables.
• Track complex infrastructure projects including progress, cost burn-down, timelines, and financial performance.
• Champion data quality; surface anomalies and coordinate with data engineers to resolve root causes.
• Translate analytical findings into executive-ready narratives for senior leadership.

Skills

SQL

Stakeholder management

Business acumen

Technical fluency

Ownership

Reporting

Construction / manufacturing / supply‑

ERP systems knowledge

Master data management

Startup experience

Python for data analysis

AI-assisted coding tools familiarity

Tools

BigQuery

dbt

Airflow

Sigma

Looker

Power BI

Tableau

SAP

Oracle

Sage Intacct

Job description

• 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
• 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

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges

• Modern Data Stack Experience: Experience with a modern data stack (BigQuery, dbt, Airflow, or equivalents)
• Stakeholder Management: Proven experience working directly with business partners to gather requirements and deliver data products. You are credible in a room with construction project managers and equally comfortable reviewing a data model with an engineer
• Business Acumen: You understand why you are building something, not just what. You ask questions until the business context is clear and you can explain your work to non-technical stakeholders
• Technical Fluency: Possess strong SQL skills — you will query BigQuery daily. Comfort working with large, complex datasets across multiple source systems
• Ownership: Track record of being the go-to person for “is this number right?” You take accountability for data accuracy and do not wait to be told when something is off
• Reporting Expertise: Experience building and maintaining dashboards and reports for operational use. Familiarity with BI tools (e.g., Sigma, Looker, Power BI, Tableau)
• 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
• Familiarity with master data management concepts and cross-system entity resolution
• Experience working in a fast-growing company where processes are still being built
• Python for data analysis is a plus but not required
• Experience with AI-assisted coding tools (e.g., Claude Code, Cursor, GitHub Copilot) to accelerate analytical work