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12 часов назад

Analytics Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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