Senior Financial Analytics Engineer (all genders)
Core
Central technical point of contact for data technical questions within a standardized analytics framework, extracting, transforming, and modeling operational and financial data to create tailored solutions for the entire finance area.
Role type
Senior Financial Analytics Engineer
Builds
Scalable technical reporting specifications, robust data models, and self-service reporting tools and dashboards for finance stakeholders.
Domain
Retail E-Commerce / Financial Data & Automation
Required skills
SQL, Python, SAP/ERP data models, Cloud Data Warehouses (Google BigQuery), IFRS standards, Reconciliations, Data modeling, Self-service analytics tools (Looker/Looker Studio)
Preferred skills
Data orchestration tools (Airflow, dbt), E-Commerce/Retail domain experience
Technologies
SAP, Google BigQuery (GBQ), Google Cloud Platform (GCP), Looker, Looker Studio
Responsibilities
Support time-critical month-end closings through financial data analysis, reconciliations, and report validations; Conceive, maintain, and optimize data pipelines connecting SAP/ERP structures with Google BigQuery; Develop and maintain SQL queries and Python scripts for complex financial data extraction and analysis; Investigate, diagnose, and resolve data discrepancies across SAP tables and analytics platforms; Build and maintain self-service reporting tools and dashboards; Translate business and financial requirements into scalable technical reporting specifications and robust data models; Lead initiatives to expand internal financial data solutions and analysis functions on GCP.
Seniority
Senior, hands-on IC
