Data Analyst Middle [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