{"id":2516965,"url":"https://alion.io/job/hire-bridge-decision-science-analyst","title":"Decision Science Analyst","company":{"id":1832720,"name":"Hirebridge","domain":"hirebridge.com","url":"https://alion.io/company/hirebridge","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":67000,"max":92125,"currency":"USD","period":"year","gross":null,"usd_annual":92125},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-07T00:00:00Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-14T12:01:17Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Decision Science AnalystThe Decision Science Analyst will architect the analytical foundation of Red Robin's Growth, Intelligence & Decisioning capability. Equal parts data miner, performance analyst, model builder, and strategic thought partner, this role will build the analytical frameworks, measurement methodologies, and decision support infrastructure leadership relies on to understand performance and optimize business outcomes.\nThis role will provide ongoing support and performance visibility across Marketing, Loyalty, CRM, Paid Media, Culinary, Pricing, Customer Experience, and First Choice initiatives and will be responsible for connecting customer, transaction, menu, pricing, media, digital, and operational data to drive enterprise decision making.\nThe Decision Science Analyst will help build analytical capabilities for Red Robin, leveraging data from customer platforms, engagement platforms, digital commerce platforms, enterprise data environments, customer experience platforms, and intelligence platforms to create actionable insights and recommendations.\nThis position will both build something new while supporting critical initiatives such as First Choice segmentation, pricing strategy, menu innovation, customer growth, loyalty optimization, media effectiveness, and hyper local marketing approaches. Success requires a builder mindset and comfort operating in an environment where analytical frameworks, measurement standards, and decision support capabilities are actively being developed.\nThe role will partner closely with internal stakeholders including Marketing, Culinary, Pricing, Finance, Customer Experience, Operations, and Executive Leadership, while also collaborating with external partners including Analytica, Surface, media agencies, and strategic analytical partners supporting growth initiatives and customer decisioning.\nEssential Functions of the Job\nDecision Science, Measurement & Performance Analytics\nConduct hands on analysis of campaign, loyalty, CRM, menu, pricing, customer, media, and business performance.\nQuantify ROI, ROAS, incrementality, visit lift, retention impact, customer value, profitability, and channel effectiveness.\nDevelop analytical methodologies used to evaluate performance across marketing, pricing, loyalty, customer experience, culinary, and growth initiatives.\nPartner with Finance and business leaders to identify drivers of traffic, sales, frequency, profitability, and customer growth.\nLead test and control design, incrementality measurement, forecasting, and performance analysis.\nEvaluate promotional effectiveness and business impact across value, menu, loyalty, and customer acquisition initiatives.\nSupport enterprise planning through analytical assessments of opportunities, risks, and growth drivers.\nDevelop decision frameworks that improve the speed and quality of business decision making.\nSupport media performance analysis, attribution, and investment optimization across paid and owned channels.\nBuild measurement frameworks supporting First Choice, customer segmentation, pricing strategy, and guest acquisition initiatives.\nData Mining, Segmentation & Intelligence Development\nMine and connect data across customer, loyalty, transaction, menu, pricing, operational, digital, and media ecosystems.\nExtract and analyze data from enterprise data warehouses, lakehouses, customer data environments, and transactional platforms.\nDevelop customer segmentation, behavioral clustering, predictive modeling, and opportunity identification frameworks.\nSupport First Choice segmentation and hyper local marketing strategies through customer, geographic, behavioral, and trade area analysis.\nLeverage location intelligence and spatial analytics tools to identify market opportunities and competitive advantages.\nBuild scalable datasets, analytical frameworks, and reusable decision support tools.\nAnalyze customer lifetime value, retention, engagement, frequency, migration, and loyalty performance.\nDevelop analytical solutions supporting menu optimization, pricing strategy, customer acquisition, customer retention, and media effectiveness.\nSupport development of future analytical capabilities enabled through Bikky and other customer intelligence platforms.\nTranslate disparate data sources into integrated views of customer and business performance.\nCommercial Decision Support\nServe as an analytical partner to Marketing, Loyalty, CRM, Paid Media, Culinary, Pricing, Customer Experience, and Growth teams.\nIdentify opportunities to improve customer acquisition, engagement, retention, frequency, and profitability.\nSupport menu innovation and pricing decisions through customer and transaction analysis.\nDevelop analytical recommendations that influence strategic and operational business decisions.\nTranslate complex analytical findings into clear business recommendations.\nPartner with stakeholders to prioritize opportunities and quantify business impact.\nSupport annual planning, quarterly business reviews, and ongoing performance optimization efforts.\nProvide analytical support for enterprise growth initiatives and emerging business opportunities.\nDashboarding for Operational Visibility\nBuild analytical dashboards supporting Marketing, Loyalty, CRM, Pricing, Culinary, Customer Experience, and First Choice initiatives.\nCreate measurement dashboards focused on customer behavior, loyalty performance, pricing, menu performance, media effectiveness, and growth opportunities.\nDevelop self-service analytical environments that allow stakeholders to explore performance drivers and business opportunities.\nBuild reporting solutions that improve visibility into customer, menu, pricing, and marketing performance.\nMaintain analytical datasets and reporting structures that support recurring business reviews and decision making.\nEnsure analytical outputs are scalable, repeatable, and aligned to enterprise reporting standards.\nWhat Success Looks Like\nExecutives and business leaders have clear visibility into the drivers of traffic, frequency, retention, profitability, customer growth, and ROI.\nCustomer, menu, pricing, loyalty, media, and digital performance are connected through a unified analytical framework that supports enterprise decision making.\nAnalytical models, measurement methodologies, and decision frameworks are trusted and consistently used across Marketing, Culinary, Pricing, Customer Experience, Loyalty, and Growth initiatives.\nFirst Choice, customer segmentation, and hyper local strategies are supported by actionable customer and market intelligence.\nOpportunities and risks are proactively identified through data mining, modeling, and advanced analytics rather than reactive reporting.\nAnalytical dashboards and decision support tools improve the speed and quality of business decisions across the organization.\nCustomer transaction intelligence platforms are fully leveraged to generate actionable insights on acquisition, retention, frequency, lifetime value, menu affinity, and promotional effectiveness.\nData from customer platforms, engagement platforms, digital commerce platforms, customer experience platforms, enterprise data environments, and intelligence platforms are connected into a scalable decisioning ecosystem.\nThe analyst becomes a trusted analytical partner across Marketing, Culinary, Pricing, Loyalty, CRM, Customer Experience, Finance, and Executive Leadership.\nThe role helps establish and scale Red Robin's enterprise Growth, Intelligence & Decisioning capability.\nWhat You Bring (Requirements)\n3 to 5 years of experience in analytics, decision science, customer analytics, business intelligence, marketing analytics, commercial analytics, or performance analysis.\nStrong SQL skills and demonstrated ability to extract, manipulate, and analyze large datasets from multiple sources.\nExperience building dashboards and analytical solutions using Power BI, Tableau, Looker, or similar business intelligence platforms.\nProven ability to analyze and communicate business performance drivers including ROI, ROAS, customer value, retention, frequency, incrementality, segmentation, and campaign effectiveness.\nExperience translating complex analytical findings into actionable business recommendations.\nStrong problem-solving skills and ability to work independently in ambiguous environments.\nAbility to manage multiple projects and priorities while delivering high quality analytical outputs.\nEffective communication skills with the ability to present findings to both technical and non-technical stakeholders.\nDemonstrated curiosity, intellectual rigor, and desire to connect data to business outcomes.\nBuilder mindset with the ability to create new processes, frameworks, models, and capabilities from the ground up.\nNice to Have (Preferred requirements)\nExperience in restaurant, hospitality, retail, ecommerce, loyalty, subscription, or multi-unit consumer businesses.\nExperience working with customer transaction intelligence platforms, customer analytics platforms, or customer data platforms.\nFamiliarity with customer engagement platforms, loyalty platforms, customer experience platforms, and digital commerce ecosystems.\nExperience supporting pricing, menu, culinary, promotional, customer, loyalty, media, or customer experience analytics.\nExperience with customer segmentation, predictive modeling, forecasting, customer lifetime value, retention modeling, or advanced analytical methodologies.\nExperience working with enterprise data warehouses, cloud data environments, lakehouses, or modern analytics ecosystems.\nFamiliarity with location intelligence, trade area analytics, customer migration analysis, and hyper local growth strategies.\nExperience supporting test and learn programs, incrementality measurement, experimental design, or optimization frameworks.\nExperience leveraging customer transaction data to generate insights related to acquisition, retention, frequency, menu affinity, and customer growth.\nExposure to statistical analysis, Python, R, machine learning, or advanced analytical techniques.\nCompensation Range: $67,000.00 - $92,125.00Red Robin is an Equal Opportunity & E-Verify 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