Manager of Analytics

DescriptionJob Description: Manager, Analytics (Retail, Brand, Innovation & Affiliate)Role: Manager, AnalyticsDepartment: Strategy & AnalyticsReports To: Senior Director, Strategy & AnalyticsLocation: US (Hybrid/Remote as applicable)Role OverviewRodan + Fields is seeking a highly skilled Manager, Analytics to lead advanced analytics in support of Retail, Brand, Innovation and Affiliate channels. This role combines deep technical expertise, strong business judgment, and clear executive communication to translate complex data into actionable insights that inform commercial decision‑making.The Manager will act as the primary analytics partner for assigned business areas, owning analytical problem framing, insight development, and performance storytelling, while partnering closely with the Senior Manager on enterprise standards, customer frameworks, and strategic priorities. This role serves as the primary owner of advanced analytical execution for its channels, including model development, experimentation, and ongoing iteration, while partnering with the Senior Manager for enterprise alignment and executive application.This is a manager‑level individual contributor role (no direct people management initially), designed for an analytically rigorous leader who can operate independently across complex problem spaces and communicate effectively with both technical and non‑technical audiences.Key ResponsibilitiesAdvanced Analytics & Insight LeadershipLead end‑to‑end analytical workstreams across Retail, Brand, Innovation and Affiliate channelsPartner with business stakeholders to frame hypotheses, define analytical approaches, and ensure analyses are grounded in clear business questionsIdentify core performance drivers and synthesize insights that explain what happened, why it happened, and what to do nextApply advanced analytical techniques to evaluate campaigns, promotions, launches, and ongoing channel performanceOwn the development, iteration, and maintenance of advanced analytical models and experimentation frameworks for assigned channelsMarketing Measurement & ModelingDevelop and apply marketing measurement frameworks, including attribution and media mix modelingDesign and interpret experiments and quasi‑experiments to assess incrementality and ROIBuild and apply machine learning models (e.g., churn prediction, probabilistic segmentation, response modeling) in applied business contextsData & Technical Execution (Hands‑On)Demonstrate expert proficiency in SQL, including complex querying across large‑scale data warehousesWork fluently with cloud‑based data environments, with preference for Google Cloud Platform (BigQuery)Partner with analytics and data engineering resources to automate datasets, reporting layers, and analytical workflowsOversee development and deployment of production‑ready dashboards and visualization products, with Power BI strongly preferredRetail Analytics (Physical Stores & Omnichannel Impact)Lead retail analytics focused on understanding the incremental impact of physical stores, including store-level and market-level incrementality analysesEvaluate the role of physical retail within the broader omnichannel ecosystem, including halo effects, customer acquisition, and cross-channel cannibalization or liftPartner with Retail and Finance stakeholders to assess store performance, test-and-learn results, and implications for expansion, optimization, or investment decisionsInnovation Analytics (Market Entry, Trial & Repeat)Support Innovation analytics through market analysis, sizing, and performance assessment for new concepts, products, or business modelsAnalyze customer trial, repeat behavior, and early cohort performance to inform go/no-go, scaling, and iteration decisionsEvaluate potential cannibalization or substitution effects between new innovations and existing products or channelsBrand Analytics (Trial, Repeat & Brand Performance)Partner with Brand stakeholders to analyze trial and repeat dynamics, customer adoption patterns, and brand performance over timeSupport campaign and launch readouts with a focus on driving sustained customer engagement and repeat behavior, not just short-term liftAffiliate Analytics (Brand Consultant Performance & Cohorts)Lead Affiliate analytics focused on understanding Brand Consultant performance by cohort, including sales productivity and engagement Evaluate whether Affiliate initiatives, programs, and activities are driving incremental performance and positive impact within targeted Brand Consultant cohortsDevelop and refine cohort frameworks to distinguish consultants who are actively building their business from those who are less engaged, and track movement between cohorts over timePartner with Affiliate leadership to assess the effectiveness of incentives and engagement efforts, and translate findings into clear recommendationsFinancial & Cross‑Functional PartnershipApply a strong understanding of financial concepts and workflows (e.g., operating margin, COGS, CAC, corporate planning) to analytical projectsPartner closely with Finance to ensure analytical outputs align with financial narratives and decision processesSupport collaborative analyses that connect customer and channel behavior to financial outcomesCommunication & Stakeholder LeadershipTranslate complex quantitative findings into clear, compelling narratives for non‑technical audiencesIntegrate insights across multiple data sources to develop cohesive, decision-ready narratives rather than isolated point analysesPresent insights and recommendations to senior leaders with confidence and clarityNavigate ambiguous problem spaces, distill complexity into core impact drivers, and communicate tradeoffs effectivelyAdapt communication style to stakeholders with varying levels of technical and quantitative fluencyQualificationsExperience7+ years of experience in analytics, data science, marketing analytics, or a related quantitative fieldAdvanced degrees (Master’s or PhD) in a quantitative discipline may substitute for some years of experienceExperience operating in consumer, retail, DTC, or omnichannel environments strongly preferredEducationBachelor’s degree required in a quantitative or STEM discipline, such as: StatisticsOperations ResearchData ScienceMathematicsComputer Science or other quantitatively rigorous STEM fieldsTechnical & Analytical SkillsExpert‑level SQL proficiency, including work with large‑scale data warehouses and automated data workflowsStrong experience with cloud data platforms, preferably Google Cloud PlatformProven expertise in machine learning and statistical modeling, including: Churn and retention modelingPredictive and probabilistic segmentationRegression and classification techniquesStrong statistical foundation, including: Hypothesis testingExperimental designPredictive modeling and inferenceDemonstrated experience deploying and maintaining production analytics and dashboards, with Power BI preferredBusiness & Communication SkillsStrong fluency in financial concepts and the ability to work effectively with Finance partnersExceptional written and verbal communication skillsDemonstrated ability to extract insights from data and explain them plainly and persuasively to non‑quantitative audiencesComfort presenting to executives and collaborating with stakeholders across varying levels of analytical sophisticationSalary Range: $91,200 - $148,000 The pay range represents the low and high end of the salary range we reasonably expect to pay for this position at the time of posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee’s pay position within the salary range will be based on several factors including, but not limited to, to geographic location, experience, education, skills, qualifications, performance, and business or organizational needs. The range listed is just one component of Rodan + Fields’ total compensation package for employees.