Join a dynamic team as a Data Analyst, where you'll apply your analytical skills in the financial sector. This role involves building models and automating insights to drive business decisions and improve processes.
As a Data Analyst at Network IT, you'll be at the forefront of applying data science to real-world financial challenges. Your role will involve collecting, cleaning, and preparing both structured and unstructured financial data, ensuring that the data quality meets the standards required for business intelligence environments. You'll work closely with cross-functional teams to deliver actionable insights that support various financial operations, including fraud detection and client churn analysis.
Your day-to-day responsibilities will include building models and automating insights that contribute to data pipelines. You'll also be involved in developing tools for automation, reconciliation, and alerting, which are crucial for maintaining the integrity of financial data. This position is ideal for someone who enjoys working with data and is eager to see the impact of their work in a financial context.
To succeed in this role, you should have a Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field, along with a minimum of four years of experience in data analysis. Strong skills in data cleaning and visualization are essential, as well as a solid understanding of financial data analysis. If you have experience with business intelligence tools or knowledge of fraud detection and portfolio optimization, that would be a plus.
This is a mid-level position that requires a proactive approach and the ability to collaborate effectively with others. If you're passionate about leveraging data to drive business decisions and improve processes, this role could be a great fit for you.
You'll be taken to the original listing on PNet to apply.