Data Analyst Middle [Collections]

<p>We are looking for a <strong>R&amp;D Analyst</strong> to join our <strong>Collections</strong> team and help us discover new ways to improve collection performance.<br><br>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.<br>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.<br><br><strong data-stringify-type="bold">Challenges that await you:<br></strong></p> <ul> <li>Conduct analytical research (R&amp;D) to identify new opportunities to improve collection performance</li> <li>Explore customer, payment, and operational data to uncover patterns and insights</li> <li>Develop hypotheses and validate them through data analysis</li> <li>Identify new behavioral signals that can improve collection strategies</li> <li>Perform deep-dive analyses to support operational and strategic decisions</li> <li>Build dashboards and analytical tools to monitor key collection metrics</li> <li>Work closely with collections operations, product, and data teams</li> <li>Present insights and recommendations to stakeholders</li> </ul> <p><strong data-stringify-type="bold">What makes you a great fit:</strong></p> <div> <ul> <li>2+ years of experience in data analytics, product analytics, risk analytics, or collections analytics</li> <li>Strong SQL skills and experience working with large datasets</li> <li>Experience using Python or similar analytical tools</li> <li>Strong analytical and problem-solving skills</li> <li>Ability to work with ambiguous problems and conduct independent analysis</li> <li>Experience communicating insights to business stakeholders</li> <li>B1 or higher English level for effective communication with an international team</li> </ul> </div> <p><strong>Your bonus skills:</strong></p> <ul> <li>Experience in fintech, lending, or collections analytics</li> <li>Experience with machine learning or predictive modeling</li> <li>Experience analyzing customer interaction data</li> <li>Experience working with speech-to-text analytics</li> <li>Experience working with unstructured data (call transcripts, chat logs, messages)</li> </ul> <p><strong>Tech Stack</strong></p> <ul> <li>SQL</li> <li>Python</li> <li>BI tools (Tableau, Metabase, or similar)</li> <li>Data warehouses (BigQuery, Snowflake, or similar)</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 — 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>