Responsibilities Serve as liaison between the business unit and IT to define, design, implement and maintain a data storage, management, reporting and analysis solution. Work with business unit to identify business requirements and translate them into data project specifications. Synthesize data from various sources and transform into uniform formats for manipulation and analysis. Work with a variety of Microsoft reporting and analytics tools and techniques to explore data (Azure Dataverse, SQL Server, Power BI, Power Automate, etc.). Develop efficient algorithms and queries to clean and process data. Analyze and interpret data using statistical methods and analytical tools like Excel, SQL, Power BI, Python, etc.to identify patterns, trends, and insights. Create visualizations and reports to communicate data-driven insights to stakeholders. Work within Treasury IT framework, toolsets, and security policies to create repeatable, efficient, and scalable data automation and analytic solutions. Evaluate and recommend opportunities to automate computational processes to increase efficiency and accuracy of cleaning, validating, organizing, and processing data and, once approved by business unit, execute those processes. Establish processes to monitor and evaluate the sustainability of data analytic related capabilities. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics or related field. Minimum 5 years of experience in data analysis or related field. Expert proficiency in Microsoft reporting tools (Azure Dataverse, SQL Server, Power BI, Power Automate, Etc.). Strong analytical and problem-solving skills. Excellent communication and presentation skills.