Restaurant Business Analytics Manager

Restaurant Business Analytics Manager

We are looking for a Business and Market Analytics Manager who thrives in implementing and maintaining a complex data infrastructure while creating a restaurant support environment. This is a fast-paced and high-energy position with an emerging national restaurant brand.

Business Analytics Manager Qualifications and Benefits:

• Competitive base salary plus bonus opportunity

• Health Insurance, Dental, Vision, Life, STD,

• Generous PTO and Holidays

• 95% remote – work from home.

• Bachelor’s degree in Business Analytics, Data Science, Finance, Statistics, or a related field.

• 3+ years working hands-on with restaurant technology platforms and their data; menu data management experience strongly preferred

• Demonstrated analytical skills: SQL proficiency required, experience with a BI platform (Power BI, Tableau, Looker, or similar) required

• Understanding of restaurant business metrics: PMIX, comp sales, labor percentages, channel economics, and guest lifetime value

• Strong understanding of marketing terminology, KPIs, campaign performance, customer engagement, promotions, ROI, and marketing analytics

• Experience with data integration concepts (APIs, ETL/ELT, data warehousing); hands-on warehouse experience (Snowflake, BigQuery, Fabric, or similar) is a plus

• Experience with Aloha Enterprise or Toast reporting preferred

Business Analytics Manager Key Responsibilities:

• Build and maintain executive dashboards, recurring financial reports, and Key Performance Indicator (KPI) scorecards tracking sales, labor, and food costs

• Responsible for tracking, reporting, and analyzing performance of the business including product sales, business trends, marketing activities, and other ad-hoc requests

• Analyze menu item mix, contribution margins, and price sensitivity to balance high-cost ingredients with high-margin items like appetizers, cocktails, and desserts

• Partner closely with Marketing to analyze campaign performance, promotions, customer engagement, and ROI

• Collaborate with Operations, Finance, Supply Chain, and Marketing, to identify performance trends and operational bottlenecks

• Analyze point-of-sale (POS) data, and guest satisfaction signals to recommend menu pricing, promotional strategies, or cost-saving measures

• Maintain and update pricing and menu item data files

• Serve as the operational lead for the brand's AI launch: use case identification, data readiness assessment, and pilot execution

• Prepare and govern the datasets that feed AI tools, including the data lake or warehouse foundation

• Evaluate AI capabilities within existing vendor platforms versus standalone tools; document what is real versus marketing

• Define guardrails for AI use with the Senior Director of IT: data privacy, accuracy validation, and appropriate use policies

• Run pilots with measurable success criteria and report outcomes to leadership