The primary function of the Senior Forecasting Analyst is to oversee the forecasting process and implement advanced financial analytics for the FP&A team. This role is crucial to the Department’s use of data analytics in order to enhance forecasting processes and drive efficiency in the financial close process.  This role is also responsible for assisting and/or planning projects and ensuring overall success of those projects.

Financial Forecasting:

• Utilize advanced statistical models and tools to analyze historical data and market trends.
• Develop, implement, refine, and improve forecasting models, utilizing data-driven approaches for increased accuracy.

Financial Analytics:

• Develop and implement analytics focused on thorough understanding of financial results and improving the efficiency of the financial close process.
• Conduct thorough analysis of key performance indicators (KPIs) to identify patterns, anomalies, and opportunities for improvement.

• Conduct ad-hoc financial analysis and develop reports as requested to address specific business questions.

Communication and Reporting:

• Collaborate with cross-functional teams to gather relevant data and insights for accurate forecasting, analysis, and reporting.
• Present findings to management and leadership teams, providing clear explanations and recommendations.
• Maintain comprehensive documentation of financial models, methodologies, and assumptions.

Process Improvement:

• Continuously assess and enhance analytic and forecasting methodologies and processes.
• Identify and implement improvements to streamline data collection, analysis, and reporting.

• Bachelor’s degree in Accounting, Finance, Business Administration, Economics, or related field.
• Minimum of six (6) years of experience working with corporate financial programs, processes, reporting, analytics and assessments of impacts on the company.
• Knowledge of data analysis and development of statistical/financial data for utilization in the formulation of reports with recommendations.
• Strong problem solving and decision-making skills.
• Strong proficiency in statistical modeling and data analysis tools (e.g., Excel, R, Python).
• Knowledge of financial regulations, compliance, and reporting standards.
• Previous experience with statutory and GAAP accounting for life insurance preferred.
• Ability to communicate effectively at various levels within the organization.
• Ability to work independently.