Роль четко описана и сочетает финансовую BI-аналитику с практическим применением ИИ в быстрорастущей компании AI-инфраструктуры, но требования экспортного контроля ограничивают круг тех, кто может ее занять.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior BI Analyst (AI/Finance): Building finance data models, reporting, dashboards, and systematic data pipelines for planning, forecasting, close, and executive reporting with an accent on advanced SQL, dimensional modeling, finance data governance, and reconciliation to the general ledger. Focus on automating manual processes, resolving data quality issues, defining consistent metrics, and translating finance requirements into reliable BI solutions.
Location: Livingston, NJ; New York, NY; Sunnyvale, CA; Bellevue, WA; or Dallas, TX
Base salary: $75,000–$110,000 per year, plus discretionary bonus, equity awards, and benefits.
Company
CoreWeave provides cloud infrastructure, technology, tools, and teams for AI labs, startups, and enterprises.
What you will do
Build and maintain finance data models supporting planning, forecasting, reporting, and close processes.
Replace manual data loads and spreadsheet workflows with repeatable data pipelines.
Design dashboards and reports for close, budget-versus-actuals, forecasting, and executive reporting.
Define and govern finance and business metrics and reconcile reporting with source systems and the general ledger.
Resolve data issues and improve documentation, testing, version control, and data quality.
Partner with FP&A, Accounting, and Data Engineering to convert finance questions into data requirements and solutions.
Requirements
Bachelor’s degree in Finance, Accounting, Economics, Information Systems, Computer Science, or a related field.
5+ years of experience in business intelligence, analytics engineering, or financial analysis, including 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.
Knowledge of dimensional modeling, including star schemas, conformed dimensions, 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.
Strong finance fundamentals covering 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, explain variances to finance stakeholders, communicate technical trade-offs to finance partners, and explain finance logic to engineers.
Deep familiarity with AI tools, skills, and agents, including judgment about when to apply AI and when human review is required.
Strong ownership and care when changing finance data because stakeholders rely on its accuracy.
Access to export-controlled information requires U.S. person status, eligibility without export authorization, or eligibility and reasonable likelihood of obtaining the required U.S. authorization.
Nice to have
Experience in FP&A, Finance Systems, or Finance Operations at a high-growth or public company.
Familiarity with ERP and CRM data such as NetSuite and Salesforce.
Experience with Snowflake, Databricks, BigQuery, Python, dbt, or similar data transformation tools.
Experience in the cloud or technology industry.
Culture & Benefits
Entrepreneurial, collaborative environment focused on independent thinking and innovative solutions to complex problems.
Medical, dental, vision, life, disability, flexible spending, health savings, and mental wellness benefits for eligible U.S.-based full-time employees.
401(k) with employer match, catered lunch at office and data center locations, and a casual work environment.
Core values include curiosity, ownership, employee empowerment, best-in-class client experiences, and achieving more together.
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