Remote Analytics Engineer II - Revenue Data & Insights

Devconnectplatform; Polska; Híbrido; PLN 226.000 - 346.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health coverage

ESPP

Time off

Descripción de la vacante

Affirm is seeking an Analytics Engineer II to build scalable data products for Revenue Analytics from Poland, remote-friendly. You’ll own data modeling, dashboards, and AI-ready semantic layers across the revenue stack.

3+ years in analytics engineering or BI, with strong SQL, dbt, Python, and data visualization skills. Expect collaboration with business systems, engineering, and stakeholders to deliver durable data solutions.

Formación

• 3+ years of work experience in an analytics engineering or BI role.
• Strong working knowledge of SQL, dbt, Python, data modeling and data visualization.
• Hands-on experience with BI tools (Sigma/Looker/Tableau), Databricks, and cloud data warehouses (Snowflake).

Responsabilidades

• Develop dbt data models, dashboards, metrics, and automation processes for the revenue field team and analysts.
• Build and maintain reporting data models powering external merchant reporting.
• Develop semantic, metadata, and context layers to support AI understanding of Revenue data.
• Partner with Business Systems, engineering, and stakeholders to translate requirements into durable data products.
• Contribute to GitHub-based workflows and release hygiene.
• Develop governance and foundational processes to scale analytics in Revenue.

Conocimientos

SQL

dbt

Python

Data modeling

Data visualization

BI tools

Looker

Tableau

Sigma

Databricks

Snowflake

Salesforce

AI foundations

Herramientas

Sigma

Looker

Tableau

Databricks

Snowflake

Salesforce

Descripción del empleo

Affirm is seeking an Analytics Engineer II to build scalable data products for Revenue Analytics from Poland, remote-friendly. You’ll own data modeling, dashboards, and AI-ready semantic layers across the revenue stack.

3+ years in analytics engineering or BI, with strong SQL, dbt, Python, and data visualization skills. Expect collaboration with business systems, engineering, and stakeholders to deliver durable data solutions.