Data Analyst

Role overview

This opportunity is for a Haystack partner in Berlin, Germany. The position focuses on strengthening B2B risk and credit analytics to support product growth across multiple countries.

Key responsibilities

• Take ownership of the redesign of B2B underwriting models and the methods behind them.
• Keep improving analytical workflows and wider business processes as the company expands its products internationally.
• Develop standardized credit frameworks that work across several countries while still reflecting local market conditions.
• Define and apply strong practices for both quick-turnaround and in-depth risk analysis.
• Work closely with the Data Science team to implement machine learning-driven credit models.
• Improve leadership reporting and the set of risk KPIs used for decision-making.

Requirements

• Substantial background in B2B risk analytics, preferably gained in lending or fintech.
• Hands-on experience in a credit risk management setting.
• Strong command of SQL, Python, or R for advanced analytical work.
• Prior exposure to international, agile, cross-functional teams.
• Clear understanding of how to leverage data potential and advanced analytics.
• Ability to think strategically and turn plans into execution.

What the role offers

• The chance to materially influence how risk is assessed and managed.
• Close collaboration with Data Science on the next generation of credit models.
• A fast-moving, technology-led work environment.
• International exposure with potential involvement in European growth plans.

Additional information

This role is being offered on behalf of a Haystack partner. The original listing included a prompt to apply through Haystack.