Lead Analytics Engineer: Own AI-Ready Data Warehouse

FINNY; New York (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary & equity

Medical insurance

Flexible PTO

401(k)

Meals provided

Team offsites

Descripción de la vacante

FINNY is seeking a senior Analytics Engineer to own our analytics warehouse end to end: models, metric definitions, and trusted reports. You’ll collaborate with operations, sales, marketing, growth strategy, finance, product and engineering to standardize definitions and deliver scalable insights.

You’ll guide the BI layer, select tools, and help scale the data team as it grows, building AI-ready outputs while ensuring data quality and governance across the organization.

Formación

• Typically 4+ years in analytics engineering, data engineering or analytics.
• Strong SQL and dimensional modeling with clear grain for every table.
• dbt in production with git, tests and CI.
• Defined business metrics used to drive decisions and resolved discrepancies.

Responsabilidades

• Own the analytics warehouse day to day: staging and core models, dimensions, facts and identity resolution across our systems.
• Define the metrics FINNY runs on, with tests and documentation.
• Partner with internal stakeholders to translate questions into models and reports.
• Own the BI layer: choose the tool and semantic layer, and maintain a small set of reports.
• Make the warehouse AI-ready for querying by tools.
• Run the dbt project with version control, CI, tests and documentation.

Conocimientos

SQL

Dimensional modeling

dbt

Git

CI/CD

Stakeholder mgmt

AI readiness

Herramientas

dbt Core

Snowflake

BI Tool

Semantic layer

Descripción del empleo

FINNY is seeking a senior Analytics Engineer to own our analytics warehouse end to end: models, metric definitions, and trusted reports. You’ll collaborate with operations, sales, marketing, growth strategy, finance, product and engineering to standardize definitions and deliver scalable insights.

You’ll guide the BI layer, select tools, and help scale the data team as it grows, building AI-ready outputs while ensuring data quality and governance across the organization.