USAFinance & Analytics
4 нед. назад
USASeniorOnsite
netsuiteexcelbidata warehouseetl
Build and own the finance data warehouse and reporting cube to enable fast, reliable, and self-service financial analytics.
О компании
- The Base finance & business operations team is responsible for providing clear visibility on past and future performance across the business, financing our growth, capital allocation decisions, and supporting the broader Base team on key performance drivers. To succeed, Base must raise and deploy tens of billions of dollars, maintain sustainable unit economics, exercise extreme operating leverage, and balance supply/demand and growth/profitability in a complex and high-pace environment. The Finance team enables these by (i) building toward omniscience with sharp analytics and tools for observability, (ii) integrating with the business to support operational decisions, (iii) establishing tight controls and processes to cull complexity, and (iv) presenting Base to investors effectively.
- Please note: Base is a startup, which means priorities shift and evolve quickly. Your role may expand or change based on the needs of the business at any given time, so the responsibilities listed may not be exhaustive.
Обязанности
- This role builds the data platform that finance runs on. Base's financial data (the general ledger in NetSuite, the asset register, approved budgets, volume actuals, and forecasts) needs one governed home (a finance data warehouse) and on top of it a reporting cube that organizes millions of transactions into business-friendly dimensions, hierarchies, and pre-calculated answers. You own that platform end to end: the pipelines that replicate data in, the modeled layer that makes it correct and trusted, and the interfaces (Excel, BI, and AI agents) that finance uses to answer questions. The bar is a reporting layer so fast, reliable, and self-service that the ERP stops being an analytical bottleneck and every analysis (human or agent) starts from the same numbers.
Другое
- Base is America’s next-generation power company. We’re rebuilding the foundation of modern civilization–electricity–by deploying a vast network of distributed batteries that is transforming today’s fragile, centralized grid into a resilient and abundant system. We are engineers, operators, and creatives solving some of the most complex, interdisciplinary challenges of our time.
- Build and own the finance data warehouse. Design the pipelines that replicate the general ledger out of our ERP and land the asset register, approved budgets, volume actuals, and forecasts in one governed store
- Build the GL reporting cube. Business-friendly dimensions, account hierarchies, and pre-calculated measures, so finance can drill from consolidated results down to transaction detail
- Make correctness a feature. Tested, validated logic that ties to the GL, with reconciliation checks and controls, so accounting trusts every number the platform serves
- Partner with accounting on the dimensional backbone (entity, department, account, absorption methodology, product splits) and encode it once so every report inherits it
- Serve consolidation and budget-vs-actuals. Join forecasts to actuals in the cube and give the team the drilldown behind every variance
- Build the interfaces. Excel-native reporting for the monthly close, BI for the wider company, and agent-readable access so agents and analysts answer questions from one source of truth
- Extend the platform as finance scales. The forecast cube, asset management reporting, and tax equity fund reporting all get built on the rails you lay
- 3-7 years in data engineering, analytics engineering, or BI development, including at least one financial reporting platform (warehouse plus cube or semantic layer) built and run in production
- Expert SQL and dimensional modeling (facts, dimensions, hierarchies) and the pipeline fundamentals to move ERP data reliably; we care about outcomes, not a specific toolset
- Working accounting fluency: you can talk chart of accounts, debits and credits, and close calendars with a controller, and translate that into a data model
- An auditor's instinct for correctness. You tie out to the GL, test your logic, and treat an unreconciled number as a defect
- Founding-hire ownership. You scope v1 yourself, ship it, and grow the function from there as the company scales
- Fluency working alongside AI. You treat agents as first-class consumers of your data and use them to build faster yourself
- Plain-English communication with finance stakeholders. You'd rather show a validated drilldown than explain an architecture diagram
- First Principles Thinking: Question assumptions. Principles > rules.
- Operate at Base Pace: Focus on what matters, act quickly, and learn by doing.
- Give & Get Feedback: Be direct, be humble, and maintain a growth mindset.
- Everyone’s an Owner: Follow through on commitments and own results.
- Strong Opinions, Loosely Held: Drive clarity and make calls with imperfect information.
- Committed to the Mission: Rebuilding the grid is a big challenge. We work hard because we care deeply about the impact we’re creating. We work in-person. It’s not a 9-to-5. We are all-in.
- Fun & Optimism Coexist with Grit: Collaboration and celebration coincide with the intensity of building real things.