Senior Financial Analytics Engineer (all genders)

Aboutyougmbh; Hamburg; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

About You GmbH is seeking a Senior Financial Analytics Engineer to be the main contact for data engineering under our analytics framework, driving extraction, transformation, and modeling of operational and financial data, including SAP data.

You will design and maintain data pipelines to Google BigQuery, write SQL and Python, resolve SAP discrepancies, and build self-service dashboards for Finance using Looker Studio, enabling IFRS-compliant insights and agile analytics across the group.

Formación

• 5+ years of experience as Analytics Engineer, Data Engineer, or Financial Data Analyst with large ERP data.
• Advanced SQL for complex data modeling and validation.
• Practical experience with SAP data and ERP structures.
• Hands-on with Google BigQuery and modern data stack tooling.
• Good knowledge of IFRS standards and month-end processes.
• Experience building self-service reports with Looker or Looker Studio.

Responsabilidades

• Lead data engineering topics under a standard analytics framework.
• Design, maintain, and optimize SAP/ERP data pipelines to GBQ.
• Write SQL queries and Python scripts for extraction and modeling.
• Investigate data discrepancies across SAP tables and downstream analytics.
• Build self-service dashboards for Finance stakeholders.
• Translate business requirements into scalable data models.
• Collaborate with Finance and Data teams on analytics initiatives.

Conocimientos

Data modeling

Analytical thinking

Cross-functional comms

SQL proficiency

Python scripting

Cloud data warehousing

Educación

Degree in CS/Data/Finance or related

Herramientas

Google BigQuery

Looker Studio

SAP data

ERP data models

Descripción del empleo

We are looking for a Senior Financial Analytics Engineer to join our Financial Data and Automation team. In this role, you will be the main point of contact for data engineering topics under a standard analytics framework. This means the extraction, transformation, and modeling of operational and financial data for to create solutions for all of Finance. This includes SAP data, for which you will become an Expert, if you are not already!

Support time-sensitive month-end closing activities through financial data analysis, reconciliations, and reporting validation in compliance with IFRS standards

Design, maintain, and optimize data pipelines connecting SAP/ERP data structures with Google BigQuery (GBQ)

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, data models, and downstream analytics platforms

Build and maintain self-service reporting tools and dashboards that allow Finance stakeholders to access reliable data independently

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 Google Cloud Platform (GCP)

Serve as the key technical bridge between Finance stakeholders and core Data teams

Degree in Computer Science, Data Engineering, Business Informatics, Finance, Economics, or a related quantitative field (or equivalent practical experience)

5+ years of experience as an Analytics Engineer, Data Engineer, or Financial Data Analyst working with large-scale financial and ERP data structures

Advanced proficiency in SQL for complex data modeling, analytical queries, window functions, and data validation

Practical experience working with ERP and SAP data models (e.g., financial accounting tables, reporting structures, data specifications)

Hands‑on experience with cloud data warehouses, specifically Google BigQuery (GBQ), and modern data stack tooling

Solid understanding of core financial accounting principles, including IFRS standards, reconciliation workflows, and month‑end closing processes

Proven track record of building reports and self‑service analytics tools using platforms like Looker, Looker Studio, or equivalent BI tools

Strong analytical and problem‑solving skills with a methodical approach to debugging data discrepancies

Excellent cross‑functional communication skills, with a proven ability to translate complex technical concepts for business and finance stakeholders

High degree of ownership, pragmatism, and a collaborative, team‑first mindset in an agile setting

Nice to have

• Experience with Python for data automation
• Familiarity with SAP ERP modules
• Knowledge of modern data orchestration tools
• Prior experience in e-commerce or retail environments

A Place Where You Can Be You

We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.

Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.

What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.