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

AsClient 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 analyzes 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 inExcel, 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 inEnglish 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