Business Analytics Manager JN -102026-182521

To Apply for this Job Click HereBusiness 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 BenefitsCompetitive base salary plus bonus opportunityHealth 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 preferredBusiness 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 leadershipJOB ID: 182521 #postLarry ChesnerTo Apply for this Job Click Here, $100,000 - $125,000,