Marketing Analyst, Strategy & Data Science

Red RobinUnited States56 years ago
dataFull-TimeMid Level$72k–$99k USD
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Job Overview

Job Title

Marketing Analyst, Strategy & Data Science

Company

Red Robin

Location

United States

Job Type

Full-Time

Experience

Mid Level

Salary

$72k–$99k USD

marketing-analyticsdata-sciencebusiness-intelligencemarketing-strategycustomer-insights

About This Role

Marketing Analyst, Strategy & Data Science

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 dri

Why This Job Might Be a Good Fit

  • Fully remote full-time position
  • Mid Level data role at Red Robin
  • Competitive salary: $72k–$99k USD
  • Open to candidates in United States

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Frequently Asked Questions

Is this position fully remote?

Yes, this role is listed as a remote position. You can work from anywhere within the specified location requirements.

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About Red Robin

Red Robin

Red Robin

Tags: marketing-analytics, data-science, business-intelligence0 open positions

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Quick Facts

Job TypeFull-Time
ExperienceMid Level
LocationUnited States
Salary$72k–$99k USD
Categorydata
Posted56 years ago
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