Hybrid Senior Analytics Engineer

Posted 2 hours ago

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About the role

  • 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.
  • Strong written and verbal communication skills.
  • Experience in a fast-growing startup environment.

Benefits

  • Health insurance
  • Flexible work arrangements

Job title

Senior Analytics Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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