Position Summary: The Marketing Analyst, Strategy & Data Science will architect the foundation of marketing performance analytics from the ground up. This role is equal parts data miner, performance analyst, and strategic thought partner, this role will build the logic, models, and insight infrastructure that leadership relies on to measure and optimize impact across the enterprise.
This role will provide ongoing support and performance visibility across Menu and Culinary, Brand, Media, Digital, Loyalty, and Guest Relations and will be responsible for aggregating insights and data across these teams to produce department-wide reporting and executive-ready insights.
This position will both build something new while supporting critical initiatives such as our First Choice segmentation strategy and hyper local marketing approach, enabling smarter, more relevant communication with guests at every touchpoint.
Essential Functions of the Job
Performance Analytics, ROI & Strategic Insights
Conduct hands-on analysis of campaign, loyalty, CRM, menu, media, and social performance
Guest insights reporting from Blackbox, Technomic, etc.
Quantify ROI, ROAS, visit lift, retention impact, and channel-level effectiveness
Partner with Finance and Marketing leadership to identify what is driving traffic, engagement, and revenue
Support Brand and Social teams with reporting and insights on social and brand awareness campaign reach, sentiment, and earned engagement using Sprout and Meta platforms
Lead test and control analysis, loyalty behavior modeling, and performance readouts to support quarterly planning and optimization
Data Mining, Segmentation & Intelligence Integration
Mine and connect data from CDP , EDW , POS , OLO, Web, Mobile App, GA, Firebase, and paid media platforms
Apply data science methods such as segmentation, lift modeling, behavioral clustering, and predictive analysis
Support our First Choice segmentation strategy by enabling more personalized and localized communication based on guest behavior, geography, and visit frequency
Leverage Placer AI and Spatial Intelligence tools to surface guest movement, trade area potential, and support hyper local targeting and performance optimization
Dashboarding for Operational Visibility
Build foundational dashboards in Power BI, Tableau, or Looker for stakeholders across Digital, CRM, Loyalty, Menu/Culinary, Guest Relations, Brand, and Field Marketing
Support recurring reporting for offer redemptions, guest engagement, CRM campaigns, menu testing, and what lives where product mapping
Provide Guest Relations, Menu, and Brand teams with structured, self-serve access to insights that drive action not just observation
Key Platforms to Connect
Guest and CRM: CDP, ESP, CRM, SMG, Blackbox, Technomic, PlacerAI
Ordering and Menu: Olo, POS, Ziosk, Web, App
Analytics and Campaign: GA, GTM, Firebase, Loyalty, Google Ads, Meta, Programmatic Platforms
Social Media and Engagement:
Sprout Social for brand sentiment, earned and owned engagement, and review trendsMeta Business Suite and Ads Manager for campaign performance and ROAS
Feedback and Experience: SMG
Spatial Intelligence: Placer AI
Supports First Choice strategy and hyper local segmentation insights along with media targeting
Data and BI Tools/Skills: SQL, AWS (EDW), Power BI, Tableau, Looker, Python
What Success Looks Like
Executives and departmental teams have clarity on what is driving ROI, guest behavior, and growth
You connect fragmented systems into a unified, story-driven view of marketing performance
Dashboards and reporting infrastructure support both strategic visibility and daily execution
You become the go-to insight partner across Digital, Brand, Loyalty, Menu, Culinary, Media, and Guest Relations
Your work powers smarter, faster, and more personalized marketing
What You Bring (Requirements)
3 to 5 years in marketing analytics, business intelligence, or performance analysis
Strong SQL, Python and dashboarding experience using Power BI, Tableau, or Looker
Proven ability to analyze and report on ROI, ROAS, segmentation, and campaign lift
Experience supporting social or brand performance metrics using tools such as Sprout and Meta
Clear communicator and independent builder who thrives on ownership
Curiosity, attention to detail, and drive to connect data to decisions
Nice to Have (Preferred requirements)
Experience in restaurant, hospitality, or multi-location retail
Familiarity with Online Ordering Platforms, Digital Platforms, CRM, Placer AI, GA, SMG, Ziosk
Background working with a Customer Data Platform supporting CRM journeys, guest segmentation
Data extraction background working with in-house data warehouse (EDW) or data lakehouse (databricks)
Experience providing menu/culinary, paid and social media analytics
Minimum experience required:
1–3 years of direct hands-on experience in marketing analytics, with proven performance in campaign reporting, or data tools, specifically with business intelligence, or performance analysis.
Degree or equivalent work experience required
Strong SQL, Python and dashboarding experience using Power BI, Tableau, or Looker.
Proven ability to analyze and report on ROI, ROAS, segmentation, and campaign lift.
Experience supporting social or brand performance metrics using tools such as Sprout and Meta.
Clear communicator and independent builder who thrives on ownership. Curiosity, attention to detail, and drive to connect data to decisions
Competencies:
At a beginner level; leads self and others, effectively communicates, exhibits skills and knowledge directly related to the job, is results focused and solution oriented, demonstrates hospitality excellence
Compensation Range: $72,300.00 - $99,375.00is an Equal Opportunity & E-Verify Employer
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