Operations Analytics Engineer — End-to-End Data, Remote/EU

Finom; Polska; Híbrido; PLN 180.000 - 280.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Work & Swim program

Remote/hybrid across Europe

Equal opportunity

Descripción de la vacante

Finom is seeking a Senior Analytics Engineer for Operations to own data end to end, the model behind it, and the metrics it produces. You will influence processes and products, not just reports, by embedding in Operations and collaborating across the TRI domain.

You will define key metrics, participate in data quality and governance, and push for tooling that reduces manual work while maintaining accuracy and trust in the business data.

Formación

• Experience as an analytics engineer or senior analyst on data modeling projects on modern data platforms.
• Proficient in SQL for analytics and Python for gaps not covered by SQL.
• Ability to gather requirements from operational stakeholders and translate into clear metrics.
• Preference for precision in data where regulatory and financial reporting rely on accuracy.

Responsabilidades

• Own the Operations data model and reconcile data across treasury, payments, lifecycle, and onboarding.
• Partner with Operations stakeholders on daily questions, ad hoc requests, and recurring reporting, promoting self-service.
• Analyze end-to-end processes to identify manual steps or fragile handoffs and suggest tool-based improvements.
• Define and maintain metrics for reconciliation accuracy, treasury positions, payment success/failure, and onboarding conversion.
• Engage in data quality and governance within the domain.
• Propose process and product improvements based on operational reality.

Conocimientos

SQL

Python

Databricks

dbt

Data modeling

Stakeholder management

Data quality

Governance

Automation

Autonomy

Herramientas

Databricks

Spark

dbt

Descripción del empleo

Finom is seeking a Senior Analytics Engineer for Operations to own data end to end, the model behind it, and the metrics it produces. You will influence processes and products, not just reports, by embedding in Operations and collaborating across the TRI domain.

You will define key metrics, participate in data quality and governance, and push for tooling that reduces manual work while maintaining accuracy and trust in the business data.