We are looking for a highly skilled Data Analyst to join our Collections team. In this role, you’ll play a key part in improving our collections strategies through data-driven insights and rigorous experimentation. You’ll partner closely with Risk and Operations teams to optimize recovery performance, agent efficiency, and overall portfolio health.
This position is ideal for someone with strong analytical thinking, proven experience designing and interpreting A/B tests, and a background in fintech or product-driven environments.
Challenges that await you
- Design, execute, and evaluate A/B tests and other experiments to identify the best strategies for improving repayment rates, agent productivity, and customer contact efficiency.
- Develop and refine performance metrics, agent incentive models, and operational KPIs.
- Collaborate with Product, Risk, and Operations teams to identify growth opportunities, test process changes, and measure business impact.
- Build and automate data pipelines, dashboards, and monitoring systems to ensure timely, actionable insights.
- Forecast performance and model financial outcomes to support decision-making in collection strategies and resource allocation.
- Communicate findings clearly to non-technical stakeholders and translate data into business actions.
What makes you a great fit
- 2–4+ years of experience in data analytics, preferably in Collections, Risk, or Product Analytics.
- Strong background in A/B testing and experimental design — from hypothesis formulation and sample sizing to statistical validation and actionable insights.
- Solid understanding of statistics, probability, and causal inference.
- Proficiency in SQL and experience with Python for data analysis.
- Experience with data visualization tools (Tableau or Superset).
- Proven ability to work with cross-functional teams and communicate analytical results effectively.
- Self-driven, detail-oriented, and comfortable operating in a fast-moving fintech environment.
Your bonus skills
- Experience in fintech, lending, or collections analytics.
- Familiarity with data workflow tools such as Airflow or dbt.
- Background in fraud detection, credit risk, or portfolio performance analytics.
- Experience mentoring analysts or leading small analytical initiatives.
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 — 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.
