Data Analyst Senior [Collections]

<p>We are looking for a highly skilled <strong>Data Analyst</strong> to join our <strong>Collections</strong> team. <br><br>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.<br>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.<br><br><strong data-stringify-type="bold">Challenges that await you:<br></strong></p> <ul> <li>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</li> <li>Develop and refine performance metrics, agent incentive models, and operational KPIs</li> <li>Collaborate with Product, Risk, and Operations teams to identify growth opportunities, test process changes, and measure business impact</li> <li>Build and automate data pipelines, dashboards, and monitoring systems to ensure timely, actionable insights</li> <li>Forecast performance and model financial outcomes to support decision-making in collection strategies and resource allocation</li> <li>Communicate findings clearly to non-technical stakeholders and translate data into business actions</li> </ul> <p><strong data-stringify-type="bold">What makes you a great fit:</strong></p> <ul> <li>2–4+ years of experience in data analytics, preferably in Collections, Risk, or Product Analytics</li> <li>Strong background in A/B testing and experimental design — from hypothesis formulation and sample sizing to statistical validation and actionable insights</li> <li>Solid understanding of statistics, probability, and causal inference</li> <li>Proficiency in SQL and experience with Python for data analysis</li> <li>Experience with data visualization tools (Tableau or Superset)</li> <li>Proven ability to work with cross-functional teams and communicate analytical results effectively</li> <li>Self-driven, detail-oriented, and comfortable operating in a fast-moving fintech environment</li> <li>B1 or higher English level for effective communication with an international team</li> </ul> <p><strong>Your bonus skills:</strong></p> <ul> <li>Experience in fintech, lending, or collections analytics</li> <li>Familiarity with data workflow tools such as Airflow or dbt</li> <li>Background in fraud detection, credit risk, or portfolio performance analytics</li> <li>Experience mentoring analysts or leading small analytical initiatives</li> </ul> <p><strong>Our ways of working:<br></strong></p> <ul> <li><strong>Innovative Spirit: </strong>A commitment to creativity and groundbreaking solutions</li> <li><strong>Honest Feedback:</strong> valuing open, transparent communication</li> <li><strong>Supportive Team:</strong> a strong, collaborative community</li> <li><strong>Celebrating Achievements:</strong> recognizing our wins together</li> <li><strong>High-Tech Environment:</strong> a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances</li> </ul> <p><strong>Our benefits:</strong></p> <ul> <li><strong>Relocation support to one of our hubs</strong> — Mexico, Serbia, Cyprus, Spain — with assistance for the employee and their family</li> <li><strong>Flexible work </strong>from one of our offices or remote</li> <li style="font-weight: bold;"><strong>Healthcare Coverage</strong></li> <li><strong>Education Budget:</strong> Language lessons, professional training and certifications</li> <li><strong>Wellness Budget:</strong> Mental health and fitness activity reimbursements</li> <li><strong>Vacation policy:</strong> 20 days of annual leave and paid sick leave</li> </ul>