2 дня назад
Analytics Engineer (AI)
180 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (AI): Building reliable data models, ETL infrastructure, business metrics, and self-serve analytics for an AI developer platform with an accent on product analytics, experimentation, and revenue insights. Focus on designing canonical data models, automating data workflows with AI agents, and uncovering user behavior and growth opportunities through deep analysis.
Location: Flexible remote-first work with optional office spaces in New York City and San Francisco.
Salary: $180,000–$210,000 per year, plus equity and benefits.
Company
builds an AI-powered agentic development environment and infrastructure that helps developers and engineering teams code, deploy, debug, and automate software workflows.
What you will do
- Define, build, and visualize core product and business metrics.
- Design and analyze A/B experiments and adapt data models for new products, pricing, and business initiatives.
- Build and maintain canonical data models, production ETL, reverse-ETL pipelines, and data quality monitoring.
- Develop AI agents and self-serve analytics tooling to automate data team workflows.
- Partner with product, engineering, growth, revenue, and go-to-market teams on engagement, lead generation, billing, and revenue analytics.
- Conduct deep ad-hoc analysis of user behavior, pricing, enterprise expansion, and churn drivers.
Requirements
- 6+ years of experience in an analytics-focused data role.
- Advanced SQL and dbt skills with a modern warehouse such as BigQuery, Snowflake, or Redshift.
- Experience building dashboards and visualizations with tools such as Hex, Looker, Mode, Tableau, or Metabase.
- Engineering mindset with experience writing scalable queries and working with version control, CI/CD, and testing.
- Ability to work autonomously, identify opportunities, communicate complex analysis clearly, and translate insights into business decisions.
- Experience integrating AI agents into daily workflows.
Nice to have
- Experience with the GCP data stack, including GCS, BigQuery, Dataflow, or Dataproc.
- Production-grade Python experience.
- Experience working on a data team at an early-stage startup.
- Familiarity with ’s platform.
Culture & Benefits
- Flexible remote-first culture with optional office spaces.
- Competitive salary, meaningful equity, and a generous benefits package.
- 100% employee coverage for medical, dental, and vision benefits; 80% coverage for dependents.
- 20 days of paid time off, 12 company holidays, unlimited sick time, and 16 weeks of paid parental leave.
- Company retreats twice a year, gym and internet stipends, commuter benefits, FSA and HSA plans, and a company-sponsored 401(k).
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