Finance & Analytics

Base Power Company

$100K — $120K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-7 years in data engineering, analytics engineering, or BI development, including experience with financial reporting platforms
  • Expertise in SQL and dimensional modeling
  • Understanding of accounting principles and terminology including charts of accounts and debits/credits
  • Strong attention to detail with the ability to validate and reconcile data accurately
  • Experience as a founding hire or in a rapidly scaling environment
  • Ability to work effectively with AI tools to enhance data processes
  • Excellent communication skills with a focus on presenting actionable insights to finance stakeholders

Responsibilities

  • Build and manage the finance data warehouse, integrating various financial data sources
  • Create the GL reporting cube for detailed, user-friendly financial analysis
  • Ensure data correctness with robust reconciliation checks
  • Collaborate with accounting to define a solid dimensional backbone for reporting
  • Facilitate the integration of forecasts and actuals within the reporting structure
  • Develop user-friendly interfaces for financial reporting across different platforms
  • Extend capabilities of the platform as the finance function grows

Benefits

  • Opportunity to contribute to a rapidly scaling startup environment
  • Ownership of end-to-end finance data platform responsibilities
  • Collaboration with a multidisciplinary team in finance and business operations
  • Access to advanced analytical tools and technologies
  • Dynamic role with the potential for evolving responsibilities based on business needs
Full Job Description
About the Role

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.

What You'll Do
  • 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


What You'll Bring
  • 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


About the Team

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.

Do the best work of your life at Base.

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