As a Collections Analyst, you'll use data to enhance collections performance and improve customer outcomes. This role is perfect for someone who enjoys problem-solving and making data-driven decisions.
In this role, you'll be at the heart of data analysis, working to optimize collections performance and enhance payment success rates. You'll collaborate with various teams, including Operations, Risk, Finance, Technology, and Data, to turn insights into actionable strategies that drive operational excellence.
Your day-to-day responsibilities will include analyzing data to identify trends and opportunities for improvement. You'll leverage your skills in SQL, Python, and R to extract and manipulate data, providing insights that influence strategic decision-making. The role requires a strong analytical mindset and a passion for using data to solve problems.
This position suits someone who thrives in a dynamic environment and enjoys working with cross-functional teams. If you have a knack for data analysis and a desire to make a tangible impact on business processes, this could be the right fit for you.
Key requirements for this role include proficiency in data analysis tools and programming languages, as well as a solid understanding of machine learning concepts. Experience in predictive modeling and natural language processing would be beneficial but not mandatory.
You'll be taken to the original listing on PNet to apply.