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.
About the role
- Senior Analytics Engineer owning the analytics data platform for parenting technology startup. Requires deep SQL expertise and data pipeline experience in a hybrid role.
Responsibilities
- Build the Data Foundation
- Own Subscription & Revenue Data
- Strengthen Our Data Stack
- Protect Data Quality
- Partner Across the Business
Requirements
- 8+ years in analytics or data engineering roles
- Deep hands-on dbt experience in production
- Advanced SQL and strong Python for modeling and pipelines
- Experience with Airflow and modern data warehouses (Snowflake)
- Built and maintained ingestion pipelines (Fivetran or similar)
- Strong understanding of subscription businesses, Stripe payments, and revenue modeling
- Experience designing clean, modular data models for analytics use
- Comfortable working with event-driven product data
- Proficient with Git and collaborative engineering workflows
- Familiarity with tools like Segment, Braze, Amplitude, and BI platforms (Omni a plus)
- Embrace AI-assisted development tools to increase velocity
- Make sound architectural decisions without heavy oversight
- Balance speed with long-term maintainability
- Clear communicator who thrives in fast-moving environments
Benefits
- Compensation: Annual salary for this role will be $190k - $200k
- Company Equity
- Comprehensive benefits package
- 401k + Company match
- Time off to recharge
- Hybrid work environment
- A high-ownership, high-performance, high-collaboration culture
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