Restaurant Business Analytics Manager

Goodwin Recruiting

Orlando (FL)

Remote

USD 110,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Health Insurance
Dental
Vision
Life Insurance
STD
Generous PTO and Holidays

Job summary

Goodwin Recruiting is seeking a Restaurant Business Analytics Manager to lead data infrastructure and analytics for a fast-growing national restaurant brand in Orlando. This role focuses on building dashboards and KPI scorecards across sales, labor, and costs, with emphasis on data accuracy and governance.

The candidate should have a Bachelor’s in a related field and 3+ years of hands-on experience with restaurant tech platforms, SQL, and BI tools (Power BI, Tableau, Looker).

Qualifications

  • Bachelor's degree in Business Analytics, Data Science, Finance, Statistics, or related field.
  • 3+ years hands-on with restaurant technology platforms and data; menu data management preferred.
  • SQL proficiency required; experience with a BI platform (Power BI, Tableau, Looker) required.

Responsibilities

  • Build and maintain executive dashboards, recurring financial reports, and KPI scorecards tracking sales, labor, and food costs.
  • Track, report, and analyze performance of the business including product sales and marketing activities.
  • Analyze menu item mix, contribution margins, and price sensitivity to balance ingredients and high-margin items.
  • Partner with Marketing to analyze campaign performance, promotions, and ROI.
  • Collaborate with Operations, Finance, Supply Chain, and Marketing to identify trends and bottlenecks.
  • Analyze POS data and guest satisfaction signals to inform pricing, promotions, or cost-saving measures.
  • Maintain and update pricing and menu item data files.
  • Lead AI initiatives: data readiness, pilot execution, and governance for AI tools.

Skills

SQL
BI Tools
Data Warehousing
Restaurant Metrics
Marketing Analytics

Education

Bachelor's degree in Business Analytics or related field

Tools

Power BI
Tableau
Looker
Snowflake
BigQuery
Fabric

Job description

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
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