As a Business Intelligence Analyst in FinTech Solutions, my role heavily involves handling and interpreting complex financial data. I primarily use SQL for data extraction and manipulation, and PowerBI for creating compelling visualizations.
A noteworthy project involved analyzing financial transactions for a banking client to find patterns that could help realize untapped opportunities. Using SQL, we structured the seemingly disordered transaction data into a meaningful format that made it easier to draw connections. Following this, I used PowerBI to create a dashboard encompassing the bank's key performance indicators, trend forecasts, and customer segmentation metrics.
Through the visualization, we discovered that there was a significant increase in transactions during specific periods, and certain services were more popular among specific customer segments. As a result of these insights, the bank was able to launch targeted marketing campaigns during peak periods, leading to increased account openings and service adoption.