Why apply ?
🌍 Join a growing, international financial services environment where data and analytics play a strategic role in decision‑making and client reporting.
💡 Take ownership of end‑to‑end data products, combining advanced analytics, machine learning, and hands‑on technical delivery with real business impact.
💬 Work closely with senior stakeholders and leadership, acting as a key bridge between data, operations, and business strategy.
About the offer
📝 Permanent contract
🏠 Location : Frankfurt am Main
📲 Top 3 Key competencies :
- Advanced data analytics & machine learning (Python, SQL)
- Client reporting & data‑driven insights
- Stakeholder management & business translation
About our client
Sector : Financial Services
Values : Expertise | Accountability | Continuous improvement
Employees : Worldwide : 900+
Your missions
As Client Reporting / Data Analyst Manager, you will:
- Develop, improve, and operate advanced Python‑based machine learning models used for client reporting
- Apply quantitative analysis and data mining techniques to understand client behavior and support strategic decisions
- Lead the definition of metrics and the execution of impactful A/B testing initiatives
- Translate business and client requirements into scalable technical and analytical solutions
- Produce and maintain ad‑hoc analyses using Excel, Python, or SQL depending on business needs
- Design and maintain scalable data processes supporting operational and reporting activities
- Monitor model performance and drive continuous improvement initiatives
- Own the full lifecycle of data products, from concept and development to deployment and iteration
This position is a great opportunity to
- Play a strategic role in shaping client reporting and analytics capabilities
- Combine hands‑on technical work with leadership and stakeholder interaction
- Work in a data‑driven organization with strong growth ambitions
- Gain exposure to complex financial services datasets and business challenges
Your ideal profile
- Minimum 2 years of experience in data analytics, reporting, or data science
- Strong proficiency in Excel, Python, and SQL
- Solid understanding of statistical methods and machine learning techniques
- Proven experience with data models, statistical analysis, and A/B testing
- Excellent communication and data visualization skills, able to present insights to diverse audiences
- Strong interpersonal skills and confidence working with senior stakeholders
- Natural problem‑solver with a holistic understanding of business processes
- Background in financial services, credit servicing, or debt purchasing is a strong asset
- Fluent in English and German
A candidate experience with Source Up, it’s …
- Carry out a skills assessment (soft skills and technical skills) in order to better define your professional project
- Access to your test results to guide you to your best career choices
- Interview coaching session before the client meeting
- Consistent and fair recruitment process with respect, transparency and trust