Senior BI Analyst

CoreWeave•Dallas, NY

About The Position

CoreWeave’s Finance Operations team builds and maintains the data foundation used by Finance, including core finance data models, reporting, and tools relied on by FP&A and Accounting. The role sits at the intersection of business intelligence and finance, with approximately 70% of the work focused on BI and 30% on finance. The analyst writes SQL, designs data models, and builds reporting used by finance leaders during close and forecast cycles, while applying finance knowledge to identify and explain anomalies. The role helps automate manual processes, improve data quality, and expand reporting as the company grows. The position works with FP&A, Accounting, and Data Engineering to translate finance questions into data requirements and deliver reliable solutions. It brings BI practices such as documentation, testing, version control, and data quality management into finance data work. The posting also describes CoreWeave as a fast-growing, collaborative company that encourages curiosity, ownership, employee empowerment, client experience, teamwork, independent thinking, and the development of innovative solutions. The position requires access to export-controlled information; applicants must meet one of the stated U.S. person or export-authorization eligibility conditions.

Requirements

Bachelor’s degree in Finance, Accounting, Economics, Information Systems, Computer Science, or a related field.
At least 5 years of experience in business intelligence, analytics engineering, or financial analysis.
At least 3 years writing SQL in a production setting.
Advanced SQL skills, including complex joins, window functions, CTEs, and performance tuning on large datasets.
Understanding of BI practices, including dimensional modeling (star schemas, conformed dimensions, and slowly changing dimensions), semantic layers, and data governance.
Experience building dashboards and reports with a modern BI tool such as Tableau, Power BI, Looker, or Sigma.
Solid finance fundamentals, including the three financial statements, P&L structure, budgeting and forecasting cycles, budget-versus-actuals analysis, and month-end close.
Ability to reconcile data to the general ledger and explain variances to finance stakeholders.
Strong familiarity with AI tools, skills, and agents, and sound judgment about when and how to use them in work.
Clear communication skills, including the ability to explain technical trade-offs to finance partners and finance logic to engineers.
Strong ownership and care when making changes to finance data relied on by others.
Meet one of the stated eligibility conditions for access to export-controlled information: be a U.S. person as defined in the posting, be eligible to access the information without export authorization, or be eligible and reasonably likely to obtain the required export authorization.

Nice To Haves

Experience in an FP&A, Finance Systems, or Finance Operations team at a high-growth or public company.
Familiarity with ERP and CRM data, such as NetSuite and Salesforce.
Experience with cloud data warehouses such as Snowflake, Databricks, or BigQuery.
Experience with Python, dbt, or similar data transformation tools.
Experience in the cloud or technology industry.

Responsibilities

Build and maintain finance data models as a trusted source of truth for planning, forecasting, and reporting.
Replace manual data loads and spreadsheet processes with repeatable, systematic pipelines.
Design dashboards and reports for close, budget-versus-actuals, forecasting, and executive reporting.
Define and govern finance and business metrics so they are calculated consistently across the organization.
Reconcile reporting to source systems and the general ledger, and resolve data issues before they reach stakeholders.
Work with FP&A, Accounting, and Data Engineering to translate finance questions into data requirements and deliver solutions.
Apply BI practices to finance data work, including documentation, testing, version control, and data quality.
Use finance knowledge to identify anomalies and explain their causes to stakeholders.
Apply AI tools, skills, and agents with sound judgment, including recognizing when human review is needed.

Benefits

Discretionary bonus, subject to eligibility.
Equity awards, subject to eligibility.
Medical, dental, and vision insurance, 100% paid for by CoreWeave for the listed US-based full-time offering.
Company-paid life insurance.
Voluntary supplemental life insurance.
Short- and long-term disability insurance.
Flexible Spending Account.
Health Savings Account.
Tuition reimbursement.
Ability to participate in an Employee Stock Purchase Program (ESPP).
Mental wellness benefits through Spring Health.
Family-forming support through Carrot.
Paid parental leave.
Flexible, full-service childcare support with Kinside.
401(k) with an employer match.
Flexible PTO.
Catered lunch at office and data center locations.
Casual work environment.