Posting record
Open 7 days
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age.
Last checked Nov 4, 2026.
How well do you match?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat it asks of you
- 5+ years of experience
- Equivalent experience accepted instead of a degree
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
Company Description
ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.
Job Description
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
Qualifications
- 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
Additional Information
Your perks at a glance: Visit our benefits page .
Simply apply online via our career page - we will get back to you as soon as possible!
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.
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply
I'm interested I'm interested
Privacy Notice
I'm interested Refer a friend
share this job
•
•
•
•
•
•
Share to WeChat
×
Copy the link and open WeChat to share.
Copy to clipboard Open WeChat
Share to WeChat
×
Use Scan QR Code in WeChat and click ··· to share.
Something wrong with this posting?