Senior Data Analyst (Finance)

Role overview

Responsibilities

• Develop advanced analytics using Alteryx, machine learning, AI, regression modeling, and predictive forecasting.
• Develop and maintain annual operating plans, forecasts, scenario plans, and long-range financial models.
• Build Power BI reporting and self-service analytics, including data models, dashboards, and visualizations.
• Analyze complex datasets for trends, risks, opportunities, and P&L drivers.
• Conduct ad hoc analysis, executive reporting, and special projects; support automation, predictive modeling, AI applications, and business cases.
• Advise on analytics capabilities, work with vendors, deliver knowledge-sharing, and evaluate technologies.

Requirements

• Bachelor’s degree in Finance, Statistics, or a related business field required; master’s degree preferred.
• At least five years in data analysis, analytics, statistics, data science, or a related field, including three years with large, complex datasets.
• Complete initial and periodically required trainings.
• Obtain a valid Food Handler's Card within 30 days of employment.

Compensation and benefits

• Annual pay range is $90,000–$126,500.
• Benefits for eligible permanent full-time associates include 401(k) match, insurance, paid time off, education assistance, and other listed benefits.

Workplace

• Hybrid work schedule.

About Panda Restaurant Group