Manager of BI & Analytics

About UsInsomnia Cookies was founded in a college dorm room by then-student Seth Berkowitz. Fast forward 20+ years and so... many... cookies... later, our innovative bakery + delivery concept has become a cult brand known for its passionate following of cookie lovers who crave Insomnia’s warm, delicious cookies all day and late into the night.Today, Insomnia Cookies spans more than 350 stores worldwide, including our flagship location and global headquarters in Philadelphia, PA. As we continue to grow our footprint, evolve our digital ecosystem, and bring warm cookies to new communities around the world, Insomnia Cookies is revolutionizing the cookie game by truly imagining what’s possible.Position OverviewInsomnia Cookies is looking for a Manager, Analytics & Business Intelligence to help us better understand our customers, measure what is driving the business, and turn data into actionable insights.This is a highly hands-on role sitting at the intersection of Marketing, Digital, Loyalty, Finance, Product, Operations, and Technology. You’ll be responsible for bringing together data across channels, creating clear and reliable reporting, identifying trends and opportunities, and helping teams make smarter decisions faster.You’ll be the go-to analytics partner for the Marketing organization while also helping connect customer and marketing performance to broader business results.We’re looking for someone who loves getting into the data but can also step away from the spreadsheet and clearly answer the most important questions: What happened? Why did it happen? What does it mean? And what should we do next?Key ResponsibilitiesCustomer & Business InsightsAnalyze customer behavior across digital ordering, delivery, in-store, loyalty, and other channels to identify trends and opportunitiesDevelop customer segmentation and lifecycle analyses across acquisition, frequency, retention, churn, reactivation, and lifetime valueAnalyze Insomnia Rewards engagement, enrollment, redemption behavior, offers, and customer purchase patternsIdentify meaningful differences across customer segments, markets, stores, channels, dayparts, and occasionsConduct basket and purchase behavior analysis to identify opportunities to increase frequency, average order value, attachment, and customer lifetime valueProactively surface business trends, risks, and opportunities rather than waiting for teams to request analysisMarketing Analytics & PerformanceServe as the primary analytics partner for Marketing, helping teams understand the performance and effectiveness of their investmentsTrack and analyze performance across paid media, CRM, loyalty, promotions, social, influencer, partnerships, local marketing, and brand campaignsCreate and maintain reporting for key metrics including CAC, ROAS, LTV, conversion, retention, frequency, engagement, promotional lift, and incremental revenuePartner with Digital and Marketing teams to improve attribution and better understand the true impact of marketing investmentEvaluate promotional and offer performance, including redemption, incremental sales, customer behavior, and profitabilityPartner with Finance to support marketing ROI analysis, budget planning, forecasting, and investment decisionsDigital & Loyalty AnalyticsPartner with Digital Product to understand customer behavior across web, app, ordering, loyalty, and delivery experiencesAnalyze customer funnels and identify opportunities to improve acquisition, conversion, basket size, and repeat purchaseMonitor digital and loyalty performance and proactively identify meaningful changes or areas requiring actionPartner with CRM and Digital teams to translate customer insights into more targeted and effective lifecycle marketingHelp identify opportunities for personalization based on customer behavior, frequency, preferences, and lifecycle stageReporting & Business IntelligenceOwn and continuously improve Marketing and customer analytics dashboards and reportingBuild simple, scannable reporting that allows teams and senior leadership to quickly understand performanceHelp establish consistent KPI definitions and measurement methodologies across the organizationAutomate recurring reporting wherever possible so more time can be spent generating insights rather than pulling numbersTranslate complex datasets into clear, concise recommendations for both technical and non-technical audiencesSupport recurring business reviews with clear analysis of what is driving performanceExperimentation & OptimizationPartner with Marketing, CRM, Digital, Loyalty, and Product teams to design and evaluate A/B tests and other experimentsDevelop consistent approaches for test design, sample sizing, measurement periods, control groups, and evaluationAnalyze test results and translate outcomes into clear recommendations and next stepsHelp build a test-and-learn culture where teams consistently use data to optimize campaigns, offers, customer experiences, and marketing programsMaintain learnings from prior tests so teams can build on what has already been provenForecasting & Advanced AnalyticsDevelop forecasting models to support campaign planning, customer engagement, loyalty performance, and budgetingBuild cohort and customer value analyses to better understand retention and long-term customer behaviorSupport predictive analytics initiatives around customer value, churn, purchase propensity, and engagementIdentify opportunities to evolve Insomnia’s analytical capabilities as the business and data ecosystem matureData Quality & Analytics ToolsPartner with Technology, BI, Engineering, and external partners to ensure Marketing has clean, reliable, and accessible dataMonitor data quality and proactively identify discrepancies or tracking issuesHelp define business requirements for data pipelines, integrations, tagging, customer identity, and measurementServe as a Marketing subject-matter expert across platforms including GA4, CRM/Braze, loyalty, digital advertising platforms, BI tools, and customer data environmentsSupport the evaluation and implementation of new analytics tools and capabilities as neededCross-Functional PartnershipWork closely with Marketing, Digital, Finance, Product, Operations, Technology, and external agency partnersHelp teams identify the right questions to ask and determine the best analytical approach to answer themBring together insights from across functions to create a more complete view of customer and business performanceChampion a data-driven culture while recognizing that the best decisions balance analytics, customer understanding, creativity, and business judgmentQualifications & ExperienceBachelor’s degree in Business, Analytics, Economics, Statistics, Data Science, Marketing Analytics, or a related quantitative field4–6+ years of experience in business intelligence, customer analytics, marketing analytics, growth analytics, or a related data-driven roleExperience in QSR, retail, hospitality, eCommerce, marketplace, delivery, or another high-volume consumer business is strongly preferredAdvanced SQL skills and strong proficiency in Excel or Google SheetsStrong experience with BI and visualization platforms such as Tableau, Looker, or Power BIHands-on experience with GA4, CRM/lifecycle platforms such as Braze, digital advertising platforms, and customer or loyalty dataExperience analyzing customer segmentation, retention, LTV, attribution, campaign performance, and lifecycle behaviorStrong understanding of multi-channel marketing measurementExperience designing and evaluating A/B tests or controlled experimentsFamiliarity with modern data warehouses such as Snowflake or BigQueryFamiliarity with Python, R, or advanced statistical modeling is a plusProven ability to turn complex data into clear, actionable insights for non-technical audiencesWhat You BringYou are naturally curious and want to understand why the numbers are moving, not just report that they movedYou are highly analytical but commercially minded — you understand that the goal is better business decisions, not more dashboardsYou are comfortable getting hands-on with data and digging into the details yourselfYou can translate complicated analyses into simple, compelling storiesYou proactively surface insights, risks, and opportunities rather than waiting to be askedYou thrive in a fast-paced, entrepreneurial environment where priorities can change quicklyYou are organized, detail-oriented, and able to manage multiple analytical workstreams at onceYou are collaborative, low ego, and enjoy partnering with both creative and highly technical teamsYou bring a test-and-learn mindset and are always looking for ways to make the business smarterSWEET POSITION PERKSCompetitive salary + bonus + benefits + equityA fun, entrepreneurial, and cookie-filled cultureComplimentary cookies, branded swag, and so much moreWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.