Analytics Engineer
Posted Updated
Description
You will own the analytics roadmap and data domain for Finance, Product-Led Growth, People, or Partnerships. You will define metrics, build and maintain pipelines and authoritative models, create trusted dashboards, investigate anomalies, and improve shared data-platform standards. You will also automate repetitive workflows using agentic and LLM-powered solutions.
Responsibilities
- Own a functional data domain end to end
- Define metrics and model domain data
- Build and maintain BigQuery and Coalesce pipelines
- Establish authoritative models aligned with certified definitions
- Build trusted business dashboards
- Improve shared data-platform frameworks, standards, and tooling
- Surface variances, anomalies, mix shifts, and completeness gaps
- Automate reconciliation, anomaly detection, reporting, and operational handoffs
Requirements
- 5+ years in data analysis, analytics engineering, or data engineering
- SQL proficiency
- Data visualization proficiency
- Data engineering knowledge
- Git knowledge
- Code review knowledge
- Analytical thinking
- Communication skills with non-technical stakeholders