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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
JOB ID: 182521
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Larry Chesner