Financial and Operational Analyst

Interim Senior Financial / Operational Analyst (Restaurant Performance & Multi-Unit Analytics)

Duration: 3–6 months
Function: Operational analytics supporting unit-level performance across new and existing restaurant markets
Focus Areas: Multi-unit performance analysis, menu/pricing analytics, labor deployment, and market-level profitability

This role will serve as an interim senior resource supporting enterprise-level restaurant performance analytics while an internal team member is temporarily assigned to a strategic project for the Atlanta and East Coast markets. The analyst will partner closely with planning and analytics leadership to evaluate unit performance, identify operational improvement opportunities, and provide data-driven recommendations on pricing, sales mix, menu optimization, and labor efficiency.

• Conduct multi-unit operational performance analysis across new and existing markets, with emphasis on volume, pricing, margin, and guest mix.

• Evaluate menu performance and regional buying behaviors (e.g., Atlanta market sales mix preferences) to guide pricing and product strategy.

• Provide analytics supporting unit labor productivity
  , equipment utilization, throughput, and in-restaurant process effectiveness.

• Develop insights that connect operational drivers (quantities, pricing, and margins) to financial outcomes at the unit level.

• Partner with restaurant services, real estate, and planning teams on performance trends pre- and post-opening of new markets.

• Translate complex datasets into actionable recommendations for market-level optimization and profitability improvement.

• Present findings to leadership with clear visual narratives, logic, and methodology.

• 5–7+ years of experience in FP&A or operational analytics
  , ideally with multi-unit environments (restaurant, retail, hospitality, supply chain, manufacturing, or distribution).

• Proven ability to perform operational analytics
  , not just P&L financial analysis — tying data back to behaviors in the unit (menu mix, labor flow, throughput, etc.).

• Advanced Excel skills working with large data sets (testing required).

• Strong understanding of statistics and applied analytical methods.

• Experience with
  Dataiku or similar data analytics / FP&A software (highly preferred).

• Background supporting marketing or consumer behavior analytics is a plus.

• Restaurant industry experience is highly preferred.

The ideal candidate is a commercially minded analyst with hands-on experience evaluating performance at the unit level, who understands how pricing, consumer preferences, and operational deployment impact margins. This is not a pure finance role — it is a hybrid of FP&A, operational analytics, and market strategy.