Senior Analytics Engineer at Higgsfield AI translating product and finance metrics into data models. Collaborating cross-functionally to ensure consistent, reliable data for decision-making.
Responsibilities
Own the Source of Truth
Translate product- and finance-defined metrics into durable, version-controlled warehouse models.
Eliminate conflicting logic across dashboards and teams.
Ensure executive- and board-level reporting is powered by consistent, traceable warehouse logic.
Mature our existing BigQuery-based stack by centralizing business logic in the warehouse and enforcing governance controls.
Implement automated validation and reconciliation between product systems, billing systems, and financial reporting.
Prevent silent metric drift and post-close surprises.
Ensure new products, models, and features are correctly integrated into reporting.
Partner with Product, Engineering, ML, Growth, and Finance to deliver trusted, decision-ready data.
Improve documentation, testing, and transparency across the warehouse.
Reduce key-person risk and increase confidence in company metrics.
Requirements
5-10+ years in analytics engineering, data engineering, or similar role owning business-critical datasets.
Expert-level SQL and strong experience with transformation frameworks (e.g., dbt or equivalent).
Experience supporting revenue or financial reporting in a high-growth company.
Proven ability to reconcile product/billing data with financial systems.
Experience implementing warehouse-level testing, validation, and governance.
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