Senior Analytics Engineer (m/f/d)

RatePAY; Deutschland; Vor Ort; EUR 50.000 - 75.000; Vollzeit

Zusammenfassung

Join a leading company in the financial tech space as a key player in their Data domain, focused on developing reporting solutions for finance. You will collaborate with cross-functional teams to enhance analytics capabilities on a cloud-native tech stack. Bring your expertise in SQL, financial datasets, and data analysis to drive impactful business decisions within a diverse and inclusive environment.

Qualifikationen

• Experience in developing datasets for finance with exposure to SAP.
• Proficient in SQL and Python for reporting tasks.
• Ability to simplify complex financial topics.

Aufgaben

• Drive self-service reporting data product development.
• Collaborate with finance experts to scale reporting suite.
• Define and catalog KPIs for finance.

Kenntnisse

Data Analysis

SQL

Python

Financial Knowledge

Statistical Analysis

Machine Learning

Tools

SAP BW

AWS

Tableau

Snowflake

Jobbeschreibung

Read job description in: English EN
German

Your Mission

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. We work with a cloud-native CI/CD tech stack (Snowflake, AWS, Airflow, Tableau, BitBucket, Jenkins, etc.) in an AGILE way, infusing the data mesh principles into our development and release strategies. 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.

The Impact

• 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 reporting suite by merging datasets from SAP BW and SAP ERP.
• Thought partner to finance domain leads to 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.

That's What You Bring Along

• Experience in developing datasets crucial for finance operations with exposure to SAP and SAP BW.
• Exposure to financial know-how to develop solutions supporting finance and controlling domains via cloud tech stack.
• Proficiency in SQL and hands-on experience with Python to replicate Microsoft Excel based reporting logic.
• Ability to simplify complex topics to scope delivery within OKR cycles.
• Experience in data analysis, interpretation, and visualization.
• Strategic thinking with problem-solving skills, focusing on driving business impact.
• Exposure to statistical analysis and machine learning techniques.
• Proficiency in English and preferably in German.

Equal Opportunities & Diversity

We value our diversity and welcome everyone to our team. Regardless of ethnic and social background, religious beliefs, worldview, gender, sexual orientation, physical and mental limitations, age, marital status, educational background, and nationality. With over 200 employees and 40 different nationalities, we take our values seriously, including ownership, growth, integrity, collaboration, customer centricity, and inclusion.