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Описание вакансии
Текст:
TL;DR
Analytics Engineer (AI) (dbt/BigQuery): Building scalable data models, pipelines, and self-serve analytics capabilities for an AI agent platform with an accent on business metrics, data integration, and operational visibility. Focus on connecting diverse data sources, developing KPI dashboards, and analyzing customer health, adoption, and revenue to support complex business decisions.
Location: San Francisco, New York City, Boston, or remote within the United States
Annual salary: $140,000–$180,000
Company
LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating AI agents at scale.
What you will do
- Build scalable dbt models and business context for self-serve analytics.
- Maintain and expand the data stack across Fivetran, dbt, BigQuery, and Hex.
- Connect Salesforce, Stripe, Metronome, Postgres, and other sources to the BigQuery warehouse.
- Build dashboards tracking company goals and key performance indicators.
- Analyze product usage and operational data to identify insights about customer health, adoption, and revenue.
- Develop a deep understanding of business metrics to support alignment and decision-making.
Requirements
- 3+ years of experience in analytics engineering, data engineering, or a related role.
- Technical proficiency with BigQuery, dbt, Hex, Fivetran, and Segment or similar tools.
- Strong attention to detail and the ability to investigate data and synthesize findings effectively.
- Curiosity and strong business judgment to anticipate needs and generate meaningful insights.
- Ability to work independently in a fast-paced, unstructured environment.
Culture & Benefits
- Small, full-stack data team working across the data stack.
- Meaningful impact on products and internal decision-making.
- Health, dental, and vision coverage.
- Flexible vacation, life insurance, and a 401(k) plan.
- Meals on in-office days in the United States.
- Meaningful equity and locally competitive benefits for team members in the EU, UK, and APAC.
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