Senior Analytics Engineer, Ratepay
Buy-now-pay-later payment solution
Open for applications
Buy-now-pay-later payment solution
201-500 employees
Open for applications
201-500 employees
Company mission
To offer customisable payment solutions for large online retailers and marketplaces.
Role
Who you are
- Have experience in developing datasets crucial for finance operations with exposure to SAP and SAP BW
- Exposure to financial know-how to develop solutions to support finance and controlling domains via cloud tech stack
- Be proficient in SQL and hands-on experience with Python to replicate Microsoft Excel based reporting logic
- Bring simplicity to seemingly complex topics to scope delivery within OKR cycles
- Have experience in data analysis, interpretation, and visualization
- Be a strategic thinker with problem-solving skills, focusing on driving business impact
- Have had exposure to statistical analysis and machine learning techniques
- Be proficient in English and preferably in German
What the job involves
- You’ll join Ratepay’s Data domain to drive financial reporting and analytics by democratizing access to reporting-ready data via self-service analytics
- In the role, you will work closely with the analytics engineering lead and data engineers to strengthen the financial reporting offering on our cloud-native tech stack to enable business users to dive into first and second-order questions via self-service
- The Data department at Ratepay encompasses Data Engineering, Analytics Engineering and BI, Product Analytics and Data Analytics
- The role reports to the Head of Data, focusing on automating self-service reporting products and embedding data-informed decision-making across Risk, Product, and Finance domains
- Work closely with the analytics engineering lead to drive the self-service reporting data product development by building on Ratepay’s cloud native CI/CD stack (Snowflake, AWS, Airflow, Tableau, BitBucket, Jenkins, etc)
- Collaborate with finance domain experts, data engineers, and data analysts to scale the since reporting suite by merging datasets from SAP BW and SAP ERP
- Thought partner to finance domain leads predict and plan for emerging reporting needs
- Own KPI definition and cataloging for the finance space
- Ensure data availability from source systems to enable rapid response to emerging anomalies
- Collaborate with Data Engineering, Analytics, ML, and Finance leadership teams to scope OKR cycles
- Support improvements in data and platform infrastructure to enhance analytics capabilities and tools
Our take
The rise of eCommerce has increased the demand for flexible and reliable payment solutions. Consumers seek convenience and security in online transactions, while merchants need systems that enhance customer loyalty. Traditional payment methods often fail to meet these expectations, leading to lost sales and customer dissatisfaction.
Ratepay addresses this problem by offering "Buy Now, Pay Later" (BNPL) solutions. Its white-label payment system integrates into merchants' online shops, allowing customers to make purchases on account, in instalments, or via direct debit without leaving the brand's site.
Supported by a robust infrastructure and a commitment to customised solutions, Ratepay has become a leader in the BNPL market. Its successful collaborations with various eCommerce platforms and financial service providers position them for continued growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Company values
- Ownership
- Growth
- Integrity
- Collaboration
- Customer Centricity
- Inclusion
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Miriam Wohlfarth
(Founder)Founder and Co-CEO of Banxware as well as a Board Member at Freenet, 42 Heirloom, Mercedes-Benz Automobility, Talentsconnect, and the German Startups Association.
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