Note: The job is a remote job and is open to candidates in USA. Red Robin is an established restaurant chain seeking a Decision Science Analyst to enhance their Growth, Intelligence & Decisioning capability. The role involves building analytical frameworks and providing performance visibility across various departments to optimize business outcomes and drive enterprise decision making.
Responsibilities
- Conduct hands on analysis of campaign, loyalty, CRM, menu, pricing, customer, media, and business performance
- Quantify ROI, ROAS, incrementality, visit lift, retention impact, customer value, profitability, and channel effectiveness
- Develop analytical methodologies used to evaluate performance across marketing, pricing, loyalty, customer experience, culinary, and growth initiatives
- Partner with Finance and business leaders to identify drivers of traffic, sales, frequency, profitability, and customer growth
- Lead test and control design, incrementality measurement, forecasting, and performance analysis
- Evaluate promotional effectiveness and business impact across value, menu, loyalty, and customer acquisition initiatives
- Support enterprise planning through analytical assessments of opportunities, risks, and growth drivers
- Develop decision frameworks that improve the speed and quality of business decision making
- Support media performance analysis, attribution, and investment optimization across paid and owned channels
- Build measurement frameworks supporting First Choice, customer segmentation, pricing strategy, and guest acquisition initiatives
- Mine and connect data across customer, loyalty, transaction, menu, pricing, operational, digital, and media ecosystems
- Extract and analyze data from enterprise data warehouses, lakehouses, customer data environments, and transactional platforms
- Develop customer segmentation, behavioral clustering, predictive modeling, and opportunity identification frameworks
- Support First Choice segmentation and hyper local marketing strategies through customer, geographic, behavioral, and trade area analysis
- Leverage location intelligence and spatial analytics tools to identify market opportunities and competitive advantages
- Build scalable datasets, analytical frameworks, and reusable decision support tools
- Analyze customer lifetime value, retention, engagement, frequency, migration, and loyalty performance
- Develop analytical solutions supporting menu optimization, pricing strategy, customer acquisition, customer retention, and media effectiveness
- Support development of future analytical capabilities enabled through Bikky and other customer intelligence platforms
- Translate disparate data sources into integrated views of customer and business performance
- Serve as an analytical partner to Marketing, Loyalty, CRM, Paid Media, Culinary, Pricing, Customer Experience, and Growth teams
- Identify opportunities to improve customer acquisition, engagement, retention, frequency, and profitability
- Support menu innovation and pricing decisions through customer and transaction analysis
- Develop analytical recommendations that influence strategic and operational business decisions
- Translate complex analytical findings into clear business recommendations
- Partner with stakeholders to prioritize opportunities and quantify business impact
- Support annual planning, quarterly business reviews, and ongoing performance optimization efforts
- Provide analytical support for enterprise growth initiatives and emerging business opportunities
- Build analytical dashboards supporting Marketing, Loyalty, CRM, Pricing, Culinary, Customer Experience, and First Choice initiatives
- Create measurement dashboards focused on customer behavior, loyalty performance, pricing, menu performance, media effectiveness, and growth opportunities
- Develop self-service analytical environments that allow stakeholders to explore performance drivers and business opportunities
- Build reporting solutions that improve visibility into customer, menu, pricing, and marketing performance
- Maintain analytical datasets and reporting structures that support recurring business reviews and decision making
- Ensure analytical outputs are scalable, repeatable, and aligned to enterprise reporting standards
Skills
- 3 to 5 years of experience in analytics, decision science, customer analytics, business intelligence, marketing analytics, commercial analytics, or performance analysis
- Strong SQL skills and demonstrated ability to extract, manipulate, and analyze large datasets from multiple sources
- Experience building dashboards and analytical solutions using Power BI, Tableau, Looker, or similar business intelligence platforms
- Proven ability to analyze and communicate business performance drivers including ROI, ROAS, customer value, retention, frequency, incrementality, segmentation, and campaign effectiveness
- Experience translating complex analytical findings into actionable business recommendations
- Strong problem-solving skills and ability to work independently in ambiguous environments
- Ability to manage multiple projects and priorities while delivering high quality analytical outputs
- Effective communication skills with the ability to present findings to both technical and non-technical stakeholders
- Demonstrated curiosity, intellectual rigor, and desire to connect data to business outcomes
- Builder mindset with the ability to create new processes, frameworks, models, and capabilities from the ground up
- Experience in restaurant, hospitality, retail, ecommerce, loyalty, subscription, or multi-unit consumer businesses
- Experience working with customer transaction intelligence platforms, customer analytics platforms, or customer data platforms
- Familiarity with customer engagement platforms, loyalty platforms, customer experience platforms, and digital commerce ecosystems
- Experience supporting pricing, menu, culinary, promotional, customer, loyalty, media, or customer experience analytics
- Experience with customer segmentation, predictive modeling, forecasting, customer lifetime value, retention modeling, or advanced analytical methodologies
- Experience working with enterprise data warehouses, cloud data environments, lakehouses, or modern analytics ecosystems
- Familiarity with location intelligence, trade area analytics, customer migration analysis, and hyper local growth strategies
- Experience supporting test and learn programs, incrementality measurement, experimental design, or optimization frameworks
- Experience leveraging customer transaction data to generate insights related to acquisition, retention, frequency, menu affinity, and customer growth
- Exposure to statistical analysis, Python, R, machine learning, or advanced analytical techniques
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