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
$100,000 - $125,000