Senior Financial Analytics Engineer (all genders)
About You SE & Co. KG2 days ago
Hamburg, GermanySenior
Responsibilities
- Extract, transform, model, and analyze operational and financial data for Finance solutions.
- Design, maintain, and optimize data pipelines connecting SAP and ERP data structures with Google BigQuery.
- Write and maintain SQL queries and Python scripts for complex financial data extraction, modeling, analysis, and automation.
- Support month-end closing through financial data analysis, reconciliations, and reporting validation in compliance with IFRS standards.
- Investigate and resolve discrepancies across SAP tables, data models, and downstream analytics platforms.
- Build and maintain self-service reporting tools and dashboards for Finance stakeholders.
- Translate business and financial requirements into scalable technical reporting specifications and data models.
- Lead initiatives expanding in-house financial data and analytics capabilities across Google Cloud Platform.
- Act as the technical bridge between Finance stakeholders and core Data teams.
Requirements
- Degree in Computer Science, Data Engineering, Business Informatics, Finance, Economics, or a related quantitative field, or equivalent practical experience.
- At least 5 years of experience as an Analytics Engineer, Data Engineer, or Financial Data Analyst working with large-scale financial and ERP data structures.
- Advanced SQL proficiency, including complex data modeling, analytical queries, window functions, and data validation.
- Practical experience with ERP and SAP data models, including financial accounting tables, reporting structures, and data specifications.
- Hands-on experience with cloud data warehouses, specifically Google BigQuery, and modern data stack tooling.
- Understanding of financial accounting principles, IFRS standards, reconciliation workflows, and month-end closing processes.
- Experience building reports and self-service analytics tools with Looker, Looker Studio, or equivalent BI tools.
- Strong analytical, problem-solving, debugging, and cross-functional communication skills.
- Ability to translate complex technical concepts for business and finance stakeholders.
- High ownership, pragmatism, collaboration, and comfort working in an agile setting.
- Experience with Python for data automation is preferred.
- Familiarity with SAP ERP modules and modern data orchestration tools is preferred.
- Prior e-commerce or retail experience is preferred.
Benefits
- The company provides an inclusive environment that welcomes different backgrounds and perspectives.
- The company offers flat hierarchies, direct communication, pragmatic decisions, ownership, trust, and clear responsibility.
- Team lunches, afterwork drinks, company events, and informal coffee breaks are part of the company culture.
- The role is based in Hamburg or Berlin at a European e-commerce and technology company.
Tech Stack
Categories
Data Engineering
About About You SE & Co. KG
ABOUT YOU SE & Co. KG operates an online fashion marketplace for European consumers and licenses commerce technology to brands via its SCAYLE platform. The group sells apparel and lifestyle products through its mobile app and aboutyou.com, and offers a cloud-based enterprise shop system under a license model to retailers. Founded in 2014 and headquartered in Hamburg, it is a publicly listed company.