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Data Insights Manager
hace 2 meses
About the Role
We are seeking an experienced and skilled Data Insights Manager to lead our team of analysts and drive impactful, data-driven solutions within our organization.
Key Responsibilities
- Lead and manage a team of analysts, providing guidance, direction, and support in their day-to-day activities.
- Collect and analyze data from various sources, including internal systems and credit bureaus, to identify trends, patterns, and opportunities.
- Collaborate with other analytical teams across the European organization.
- Analyze and make recommendations that help the development of credit policy, scorecards, and limit management strategies for credit cards.
- Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.
- Develop and maintain statistical models (e.g., scorecards) for credit risk area.
- Foster a culture of data-driven decision making within the organization, promoting the use of analytics to drive continuous improvement and innovation.
Qualifications and Experience
- Master's degree in a relevant field such as mathematics, statistics, economics, quantitative methods, computer science, or engineering.
- Minimum 5 years of experience in analytics or a data science field.
- Experience in the banking sector, especially in consumer finance credit risk area.
- Proven track record of delivering impactful insights and recommendations based on data analysis.
- Proficiency in data modeling methodologies and statistical analysis techniques.
- Experience in predictive modeling using logistic regression is required.
- Excellent knowledge of SQL for data extraction and manipulation.
- Knowledge of programming languages such as Python or R is preferred.
- Fluent English to collaborate with colleagues from other countries.
- Practical knowledge from the Spanish or Italian markets will be a plus.
- Excellent analytical and problem-solving skills, with a strong attention to detail.
- Algorithmic and creative approach to solving problems.
- Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights.
- Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.
