This Data Analyst role is perfect for someone with a strong background in data science and a passion for applying their skills in finance. You'll work closely with various teams to turn data into actionable insights that drive business decisions.
In this role as a Data Analyst, you will be at the forefront of applying data science techniques to real-world financial scenarios. Your primary responsibility will be to collect, clean, and prepare both structured and unstructured financial data, ensuring its quality for business intelligence environments. This is a hands-on position where you will build models and automate insights that support critical functions like fraud detection and client churn analysis.
You will collaborate with cross-functional teams to deliver actionable, data-driven insights. This means working closely with other departments to support automation, reconciliation, and alerting tools that enhance operational efficiency. Your ability to communicate findings and work in a team will be essential for success.
To qualify for this position, you should have a Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Additionally, a minimum of four years of experience in data analysis is required. You should be comfortable with data cleaning and preparation, as well as have a solid understanding of data modeling techniques.
This role is ideal for someone who enjoys working with data in a financial context and is eager to contribute to impactful projects. If you have a passion for data and a desire to make a difference in the financial sector, this position could be a great fit for you.
You'll be taken to the original listing on PNet to apply.