Develop, monitor and improve collections strategies based on quantitative and qualitative analyses.
Handle large volumes of data using the Databricks platform and programming languages (Python, SQL, etc.).
Create dashboards and management reports in Power BI and Excel to support decision-making.
Conduct ad hoc studies and build analytical models that support strategic decisions.
Work closely with other areas (IT, Product, Legal, Customer Service) to ensure efficient execution of strategies.
Communicate insights and recommendations clearly to both technical and non-technical audiences.

Experience in data analysis and building analytical strategies, preferably in credit, collections, risk, or financial areas.
Hands-on experience manipulating, processing and analyzing large volumes of data using SQL and/or Python in robust analytical environments (e.g., Databricks, data lakes, or similar platforms).
Experience creating and monitoring performance indicators (KPIs), analyzing results, and identifying opportunities to optimize strategies.
Proven track record of conducting end-to-end analytical studies, from problem definition and data exploration to generating insights and recommending strategic actions.
Strong background in data analysis, preferably in credit or collections.
Proficiency in SQL or Python.
Experience with data analysis and visualization tools (Power BI, Excel, etc.).
Experience working with large-scale data environments (preferably Databricks or similar).
Ability to structure and lead end-to-end studies autonomously.
Differential: experience with Salesforce Marketing Cloud.
Familiarity with statistical models and predictive modeling.

Senior Collections Planning Analyst

Key skills