Marketing Analyst, Strategy & Data Science
Red Robin
84d ago
0$72k - $99kMarketingUnited Stateshimalayas
Marketing-AnalyticsData-ScienceBusiness-IntelligenceMarketing-StrategyCustomer-InsightsMarketing-Data-AnalystMarketing-AnalystMarketing-Data-and-Insights-SpecialistMarketing-Analytics-SpecialistMarketing-Data-ScientistMid-level
Job Description
Marketing Analyst, Strategy & Data SciencePosition 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 JobPerformance Analytics, ROI & Strategic InsightsConduct hands-on analysis of campaign, loyalty, CRM, menu, media, and social performanceGuest insights reporting from Blackbox, Technomic, etc.Quantify ROI, ROAS, visit lift, retention impact, and channel-level effectivenessPartner with Finance and Marketing leadership to identify what is driving traffic, engagement, and revenueSupport Brand and Social teams with reporting and insights on social and brand awareness campaign reach, sentiment, and earned engagement using Sprout and Meta platformsLead test and control analysis, loyalty behavior modeling, and performance readouts to support quarterly planning and optimizationData Mining, Segmentation & Intelligence IntegrationMine and connect data from CDP , EDW , POS , OLO, Web, Mobile App, GA, Firebase, and paid media platformsApply data science methods such as segmentation, lift modeling, behavioral clustering, and predictive analysisSupport our First Choice segmentation strategy by enabling more personalized and localized communication based on guest behavior, geography, and visit frequencyLeverage Placer AI and Spatial Intelligence tools to surface guest movement, trade area potential, and support hyper local targeting and performance optimizationDashboarding for Operational VisibilityBuild foundational dashboards in Power BI, Tableau, or Looker for stakeholders across Digital, CRM, Loyalty, Menu/Culinary, Guest Relations, Brand, and Field MarketingSupport recurring reporting for offer redemptions, guest engagement, CRM campaigns, menu testing, and what lives where product mappingProvide Guest Relations, Menu, and Brand teams with structured, self-serve access to insights that drive action not just observationKey Platforms to ConnectGuest and CRM: CDP, ESP, CRM, SMG, Blackbox, Technomic, PlacerAIOrdering and Menu: Olo, POS, Ziosk, Web, AppAnalytics and Campaign: GA, GTM, Firebase, Loyalty, Google Ads, Meta, Programmatic PlatformsSocial Media and Engagement:Sprout Social for brand sentiment, earned and owned engagement, and review trendsMeta Business Suite and Ads Manager for campaign performance and ROASFeedback and Experience: SMGSpatial Intelligence: Placer AISupports First Choice strategy and hyper local segmentation insights along with media targetingData and BI Tools/Skills: SQL, AWS (EDW), Power BI, Tableau, Looker, PythonWhat Success Looks LikeExecutives and departmental teams have clarity on what is driving ROI, guest behavior, and growthYou connect fragmented systems into a unified, story-driven view of marketing performanceDashboards and reporting infrastructure support both strategic visibility and daily executionYou become the go-to insight partner across Digital, Brand, Loyalty, Menu, Culinary, Media, and Guest RelationsYour work powers smarter, faster, and more personalized marketingWhat You Bring (Requirements)3 to 5 years in marketing analytics, business intelligence, or performance analysisStrong SQL, Python and dashboarding experience using Power BI, Tableau, or LookerProven ability to analyze and report on ROI, ROAS, segmentation, and campaign liftExperience supporting social or brand performance metrics using tools such as Sprout and MetaClear communicator and independent builder who thrives on ownershipCuriosity, attention to detail, and drive to connect data to decisionsNice to Have (Preferred requirements)Experience in restaurant, hospitality, or multi-location retailFamiliarity with Online Ordering Platforms, Digital Platforms, CRM, Placer AI, GA, SMG, ZioskBackground working with a Customer Data Platform supporting CRM journeys, guest segmentationData extraction background working with in-house data warehouse (EDW) or data lakehouse (databricks)Experience providing menu/culinary, paid and social media analyticsMinimum 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 performanc
