About the role
<p style="text-align: center;"></p> <h1 style="text-align: center;">Data Analyst (Financial Services)</h1> <p style="text-align: center;"><strong>Location:</strong> Warsaw or Kraków (Hybrid)</p> <h2>About Capco</h2> <p>At Capco Poland, we're not just another consultancy—we're the dynamic force driving digital transformation in the financial world. As a global leader in technology and management consulting, we help clients tackle complex challenges across banking, payments, capital markets, wealth, and asset management.</p> <p>Our culture is fast-paced, flexible, and entrepreneurial. We move quickly, think creatively, and put people at the center of everything we do. We're passionate about delivering value to our clients while creating opportunities for our people to grow and thrive.</p> <p>We're proud to be:</p> <ul> <li> <p>Leaders in banking, payments, capital markets, wealth, and asset management consulting</p> </li> <li> <p>Champions of an agile, innovative, and collaborative work environment</p> </li> <li> <p>Committed to attracting and developing exceptional talent</p> </li> </ul> <h2>The Role</h2> <p>We are looking for an experienced <strong>Data Analyst</strong> to join a high-performing team supporting the development of advanced machine learning models within a global financial services environment.</p> <p>In this role, you will work closely with data scientists, model developers, and business stakeholders to deliver high-quality data solutions that power analytical and modeling initiatives. You will be responsible for sourcing, transforming, analyzing, and preparing large-scale datasets while contributing to the design and implementation of robust ETL processes.</p> <h2>Key Responsibilities</h2> <ul> <li> <p>Support the development of advanced financial machine learning models by sourcing, aggregating, and preparing data from multiple internal and external sources</p> </li> <li> <p>Clean, transform, validate, and analyze complex datasets to ensure high-quality inputs for modeling activities</p> </li> <li> <p>Design, develop, and optimize ETL pipelines to streamline data ingestion and processing workflows</p> </li> <li> <p>Work with large-scale databases and distributed data environments to extract and manage data efficiently</p> </li> <li> <p>Collaborate with cross-functional teams including model developers, data scientists, and business stakeholders</p> </li> <li> <p>Identify data quality issues and implement solutions to improve data accuracy, consistency, and accessibility</p> </li> <li> <p>C