Senior Financial Analytics Engineer (all genders)
Core
Senior Financial Analytics Engineer responsible for extracting, transforming, and modeling operational and financial data to create solutions for the Finance team, acting as the main point of contact for data engineering topics.
Role type
Senior IC Financial Analytics Engineer
Builds
Data pipelines connecting SAP/ERP data structures with Google BigQuery; self-service reporting tools and dashboards for Finance stakeholders.
Domain
E-commerce / Fashion / Financial Data Engineering
Required skills
SQL (complex data modeling, window functions, validation), Python, SAP/ERP data models, Google BigQuery, IFRS standards, financial accounting principles, data reconciliation, BI tools (Looker/Looker Studio)
Preferred skills
Python for data automation, modern data orchestration tools, e-commerce or retail environment experience
Technologies
SAP, Google BigQuery, Google Cloud Platform (GCP), Looker, Looker Studio
Responsibilities
Support time-sensitive month-end closing activities through financial data analysis and reporting validation; Design, maintain, and optimize data pipelines connecting SAP/ERP data structures with Google BigQuery; Write and maintain SQL queries and Python scripts to extract, model, and analyze complex financial data; Investigate, diagnose, and resolve data discrepancies across SAP tables and downstream analytics platforms; Build and maintain self-service reporting tools and dashboards; Translate business and financial requirements into scalable technical reporting specifications and data models; Lead initiatives to expand in-house financial data solutions and analytics capabilities across GCP.
Seniority
Senior, hands-on IC
