Lead Data Insights Analyst

Responsibilities

• directly supports Technology leaders in achieving their financial, workforce, and operational objectives by transforming complex data into actionable insights.
• responsible for strengthening Technology Performance Insights' data and reporting capabilities through data modeling, process improvement, automation, and scalable analytical solutions.
• connect data across financial, capacity, and operational domains to uncover performance drivers.
• frame tradeoffs, and translate complex information into clear, compelling narratives that help leaders understand what is changing, why it matters, and where to focus decisions and action.
• report to the Senior Manager, Corporate Financial Planning & Analysis.
• work with business partners in the development and delivery of key performance analysis and reporting.
• build and maintain various models used to project business results; enhancing the model where there is business value in adjusting the models.
• ensure analysis and reporting accuracy and integrity and explain performance drivers and provide insights into performance trends.
• create, execute and maintain forecasting models; speaks to the underlying assumptions and inter-workings of the model used to create the forecast.
• communicate findings to various stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
• evaluate, design, test and maintain data/analytics systems and make recommendations for new tools and system enhancements.
• develop, test, and deploy complex automated reporting solutions and automated decision analytics to replace manual business processes.
• develop and define standard analytics and reporting governance and communication and ensure adherence to standards.

• Demonstrated experience providing customer‑driven solutions, support or service.
• Solid knowledge and understanding of forecasting techniques or statistical analysis or data modeling or data mining.
• Demonstrated experience utilizing software tools to query and report data.
• Demonstrated experience with a variety of standard reporting software packages and best practices for report deployment processes.
• Demonstrated experience communicating/presenting complex and independent concepts and unbiased fact‑based decision‑making and financial performance.
• Demonstrated experience developing complex data sets for wide‑spread use.

Expertise in data modeling, forecasting techniques, and automated reporting solutions to drive actionable insights and support decision‑making. Strong ability to communicate complex data narratives to stakeholders and ensure data integrity and accuracy.