Middle Data analyst [Collections]

We are looking for a R&D Analyst to join our Collections team and help us discover new ways to improve collection performance.

In this role, you will focus on research and data exploration to identify new opportunities for improving recovery rates, optimizing customer communication, and making collection processes more efficient.
You will work with large datasets, explore new analytical approaches, and collaborate closely with collections, product, and data teams to turn insights into actionable solutions.

Challenges that await you:

• Conduct analytical research (R&D) to identify new opportunities to improve collection performance

• Explore customer, payment, and operational data to uncover patterns and insights

• Develop hypotheses and validate them through data analysis

• Identify new behavioral signals that can improve collection strategies

• Perform deep-dive analyses to support operational and strategic decisions

• Build dashboards and analytical tools to monitor key collection metrics

• Work closely with collections operations, product, and data teams

• Present insights and recommendations to stakeholders

What makes you a great fit:

• 2+ years of experience in data analytics, product analytics, risk analytics, or collections analytics

• Strong SQL skills and experience working with large datasets

• Experience using Python or similar analytical tools

• Strong analytical and problem-solving skills

• Ability to work with ambiguous problems and conduct independent analysis

• Experience communicating insights to business stakeholders

• B1 or higher English level for effective communication with an international team

Your bonus skills:

• Experience in fintech, lending, or collections analytics

• Experience with machine learning or predictive modeling

• Experience analyzing customer interaction data

• Experience working with speech-to-text analytics

• Experience working with unstructured data (call transcripts, chat logs, messages)

Tech Stack

• SQL

• Python

• BI tools (Tableau, Metabase, or similar)

• Data warehouses (BigQuery, Snowflake, or similar)

Our ways of working:

• Innovative Spirit: A commitment to creativity and groundbreaking solutions

• Honest Feedback: valuing open, transparent communication

• Supportive Team: a strong, collaborative community

• Celebrating Achievements: recognizing our wins together

• High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Our benefits:

• Relocation support to one of our hubs — Mexico, Serbia — with assistance for the employee and their family

• Flexible work from one of our offices or remote

• Healthcare Coverage

• Education Budget: Language lessons, professional training and certifications

• Wellness Budget: Mental health and fitness activity reimbursements

• Vacation policy: 20 days of annual leave and paid sick leave