Decision Support Specialist

General Experience Expectations:
The Decision Support Specialist role expectations are as follows:
• Expected to have a strong foundation in the design and implementation of Business Intelligence (BI) systems and core expertise in transforming data into actionable insights;
• Passionate about data and possess analytical and problem-solving skills;
• Ability to work independently and within a large team;
• Effective oral and written communication skills with project team members, business stakeholders, and other technology experts across the Department and leadership team
• Serve as a coach to junior technical staff occasionally, based on the project needs. The Reports Developer will serve as the principal line of communication for the project team. The duties and responsibilities of this position are as follows:
• Perform analyses, planning, cost estimating, and programming for application development on new and existing computer systems;
• Develop and oversee BI tools while possessing a comprehensive understanding of the BI system;
• Mainly transforms substantial volumes of transactional and historical data into actionable insights through user-friendly, interactive dashboards and reports;
• Develop and implement a scalable design solution that addresses the evolving business needs within the IT landscape;
• Collaborate with business users to understand their data needs, translate them into technical specifications, and prioritize reporting requirements;
• Extract, transform, and load data from various sources (file server, Relational Database Management Systems [RDBMS], Application Programming Interface [API]) into Power BI data models, utilizing Data Analysis Expressions (DAX) to create meaningful metrics and Key Performance Indicators [KPIs];
• Design and build visually appealing dashboards and reports with intuitive navigation;
• Ensure clear presentation of data at the summary and detailed level;
• Present findings and recommendations to business stakeholders through reports, presentations, and other communication channels;
• Perform data quality checks to ensure accuracy and consistency of data;
• Optimize reports for fast loading times and scalability to handle large datasets;
• Provide training to end-users on accessing the application flow, navigation, and interpreting reports effectively; and
• Maintain comprehensive documentation of data models, business logic, and user guides.