The Data Analyst is responsible for delivering accurate and timely data analysis, reporting, and insights to support strategic business decisions. This role collaborates with cross-functional stakeholders to define key financial and operational metrics, develop performance reports, and monitor business trends. The analyst builds and maintains forecasting models, ensures data integrity, and identifies performance drivers through statistical analysis. Additionally, the role focuses on improving data quality, supporting system enhancements, and developing automated reporting solutions to streamline processes. Strong expertise in data analysis tools, reporting software, and customer-focused problem-solving is essential for success in this position.
Key Responsibilities:
- Conducts accurate and timely business analysis and reporting to support and drive business decisions using statistical modeling and other business analysis tools.
• Collaborates with key stakeholders to define key financial and operational metrics to continuously monitor, track, and report performance.
• Collaborates with business partners in the development and delivery of key performance analysis and reporting.
• Builds and maintains models used to project business results; enhances the model where there is business value in adjusting the models.
• Ensures analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
• Analyzes and addresses dataquality issues, tests and analyzes impact of system changes to data/reporting infrastructure.
• Develops, tests, and deploys automated reporting solutions and automated decision analytics to replace manual business processes.
• May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.
• Demonstrated experience providing customer-driven solutions, support or service.
• Solid knowledge and understanding of forecasting techniques or statistical analysis.
• Demonstrated strong experience utilizing datatools to build complex formulas and create reports.
• Understanding of software tools to query and report data.
• Knowledge of a variety of standard reporting software packages and best practices for report deployment processes.
• Demonstrated experience developing data sets.