12 часов назад
Analytics Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (AI) (dbt, SQL, Python): Building canonical warehouse models, metric definitions, dashboards, and semantic layers that turn financial data into trusted business decisions with an accent on data quality, domain ownership, and AI-ready infrastructure. Focus on designing reusable analytics assets, investigating payments and risk questions, and improving the reliability of agent-driven data workflows.
Location: NYC Office, United States; in-person work is expected, with remote work available when traveling.
Company
is a fintech company building financial services for Hispanic immigrants, including checking accounts, cash deposits, international transfers, and bilingual customer support.
What you will do
- Build and maintain dbt models and shared metric definitions for company-wide analytics.
- Develop a semantic layer that provides reliable context for stakeholders and AI agents.
- Own measurement, reporting, dashboards, and analysis for domains such as reconciliation, remittances, and risk.
- Partner with Product, Growth, Risk, and Finance on feature impact, funnel, fraud, loss, and cohort analysis.
- Build self-serve analytics tooling in Hex and communicate data-driven findings to stakeholders and leadership.
Requirements
- Strong SQL, Python, dbt, and experience with a BI or notebook tool such as Hex, Looker, or Mode.
- At least 3 years of experience in data analytics, analytics engineering, or a similar role.
- Experience with a modern data warehouse such as Snowflake, BigQuery, or Redshift.
- Exposure to financial data, including payments, banking, lending, reconciliation, or settlement concepts.
- Demonstrable use of AI tools in an analytics workflow.
- Clear communication skills for explaining nuanced data-driven conclusions to product managers and executives.
Nice to have
- Experience with regulated financial products, fraud or risk analytics, credit modeling, reverse-ETL, orchestration, or semantic layers for LLM and agent-driven querying.
Culture & Benefits
- Full-time employee position with competitive salary and equity.
- Medical, dental, and vision insurance, plus a Gym Pass subscription.
- Daily lunch at the NYC office, flexible PTO, and paid parental leave.
- Company-wide offsites and remote work when traveling.
- 401(k) for US employees and visa sponsorship if applicable.
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