Rodan and Fields Beauty, LLC Careers

Job Description: Manager, Analytics (Retail, Brand, Innovation & Affiliate)

Role: Manager, Analytics
Department: Strategy & Analytics
Reports To: Senior Director, Strategy & Analytics
Location: US (Hybrid/Remote as applicable)

Role Overview

Rodan + 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 Responsibilities

Advanced Analytics & Insight Leadership

• Lead end‑to‑end analytical workstreams across Retail, Brand, Innovation and Affiliate channels
• Partner with business stakeholders to frame hypotheses, define analytical approaches, and ensure analyses are grounded in clear business questions
• Identify core performance drivers and synthesize insights that explain what happened, why it happened, and what to do next
• Apply advanced analytical techniques to evaluate campaigns, promotions, launches, and ongoing channel performance
• Own the development, iteration, and maintenance of advanced analytical models and experimentation frameworks for assigned channels

Marketing Measurement & Modeling

• Develop and apply marketing measurement frameworks, including attribution and media mix modeling
• Design and interpret experiments and quasi‑experiments to assess incrementality and ROI
• Build and apply machine learning models (e.g., churn prediction, probabilistic segmentation, response modeling) in applied business contexts

Data & Technical Execution (Hands‑On)

• Demonstrate expert proficiency in SQL, including complex querying across large‑scale data warehouses
• Work 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 workflows
• Oversee development and deployment of production‑ready dashboards and visualization products, with Power BI strongly preferred

Retail Analytics (Physical Stores & Omnichannel Impact)

• Lead retail analytics focused on understanding the incremental impact of physical stores, including store-level and market-level incrementality analyses
• Evaluate the role of physical retail within the broader omnichannel ecosystem, including halo effects, customer acquisition, and cross-channel cannibalization or lift
• Partner with Retail and Finance stakeholders to assess store performance, test-and-learn results, and implications for expansion, optimization, or investment decisions

Innovation Analytics (Market Entry, Trial & Repeat)

• Support Innovation analytics through market analysis, sizing, and performance assessment for new concepts, products, or business models
• Analyze customer trial, repeat behavior, and early cohort performance to inform go/no-go, scaling, and iteration decisions
• Evaluate potential cannibalization or substitution effects between new innovations and existing products or channels

Brand Analytics (Trial, Repeat & Brand Performance)

• Partner with Brand stakeholders to analyze trial and repeat dynamics, customer adoption patterns, and brand performance over time
• Support campaign and launch readouts with a focus on driving sustained customer engagement and repeat behavior, not just short-term lift

Affiliate 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 cohorts
• Develop 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 time
• Partner with Affiliate leadership to assess the effectiveness of incentives and engagement efforts, and translate findings into clear recommendations

Financial & Cross‑Functional Partnership

• Apply a strong understanding of financial concepts and workflows (e.g., operating margin, COGS, CAC, corporate planning) to analytical projects
• Partner closely with Finance to ensure analytical outputs align with financial narratives and decision processes
• Support collaborative analyses that connect customer and channel behavior to financial outcomes

Communication & Stakeholder Leadership

• Translate complex quantitative findings into clear, compelling narratives for non‑technical audiences
• Integrate insights across multiple data sources to develop cohesive, decision-ready narratives rather than isolated point analyses
• Present insights and recommendations to senior leaders with confidence and clarity
• Navigate ambiguous problem spaces, distill complexity into core impact drivers, and communicate tradeoffs effectively
• Adapt communication style to stakeholders with varying levels of technical and quantitative fluency

Qualifications

Experience

• 7+ years of experience in analytics, data science, marketing analytics, or a related quantitative field
• Advanced degrees (Master’s or PhD) in a quantitative discipline may substitute for some years of experience
• Experience operating in consumer, retail, DTC, or omnichannel environments strongly preferred

Education

• Bachelor’s degree required in a quantitative or STEM discipline, such as:
  • Statistics
  • Operations Research
  • Data Science
  • Mathematics
  • Computer Science or other quantitatively rigorous STEM fields

Technical & Analytical Skills

• Expert‑level SQL proficiency, including work with large‑scale data warehouses and automated data workflows
• Strong experience with cloud data platforms, preferably Google Cloud Platform
• Proven expertise in machine learning and statistical modeling, including:
  • Churn and retention modeling
  • Predictive and probabilistic segmentation
  • Regression and classification techniques
• Strong statistical foundation, including:
  • Hypothesis testing
  • Experimental design
  • Predictive modeling and inference
• Demonstrated experience deploying and maintaining production analytics and dashboards, with Power BI preferred

Business & Communication Skills

• Strong fluency in financial concepts and the ability to work effectively with Finance partners
• Exceptional written and verbal communication skills
• Demonstrated ability to extract insights from data and explain them plainly and persuasively to non‑quantitative audiences
• Comfort presenting to executives and collaborating with stakeholders across varying levels of analytical sophistication