Restaurant Business Analytics Manager

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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

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