Analytics Engineer
Fireworks AI operates an AI platform for production inference and training of open-source models.
Funding history
About Fireworks AI
Fireworks AI provides serverless and dedicated model inference, model deployment, and supervised and reinforcement fine-tuning for developers and enterprises building AI applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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.
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
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