[Hiring] Manager of Analytics @Activate Talent

Role Description

We’re helping our client find a Manager, Analytics to lead advanced analytics initiatives across Retail, Brand, Innovation, and Affiliate channels. In this role, you will own end-to-end analytical workstreams, translating complex data into actionable insights that drive commercial decision-making. You’ll partner closely with cross-functional teams including Marketing, Retail, Finance, and Leadership, while building advanced models, experimentation frameworks, and performance narratives that guide strategy and growth. This is a high-impact individual contributor role designed for someone who can operate independently, navigate ambiguity, and communicate insights clearly to both technical and non-technical stakeholders.

Responsibilities

• Advanced Analytics & Insight Leadership
  • Lead end-to-end analytics across Retail, Brand, Innovation, and Affiliate channels
  • Frame business problems, define analytical approaches, and deliver actionable insights
  • Identify performance drivers and provide clear recommendations (what happened, why, what next)
  • Build and maintain advanced analytical models and experimentation frameworks
• Marketing Measurement & Modeling
  • Develop attribution models and media mix modeling frameworks
  • Design and analyze experiments to measure incrementality and ROI
  • Apply machine learning models (churn, segmentation, response modeling)
• Data & Technical Execution
  • Write and manage complex SQL queries across large-scale data warehouses
  • Work within cloud environments (preferably Google Cloud Platform / BigQuery)
  • Partner with data engineering teams to automate workflows and datasets
  • Build dashboards and reporting tools (Power BI preferred)
• Retail Analytics (Omnichannel)
  • Analyze the impact of physical retail stores on overall business performance
  • Evaluate customer acquisition, halo effects, and cross-channel interactions
  • Support retail expansion and optimization decisions
• Innovation Analytics
  • Conduct market sizing and performance analysis for new products or concepts
  • Analyze trial, repeat behavior, and cohort performance
  • Assess cannibalization and product/channel overlap
• Brand Analytics
  • Evaluate customer behavior (trial, repeat, engagement)
  • Support campaign and product launch performance analysis
  • Drive insights focused on long-term customer value
• Affiliate Analytics
  • Analyze Brand Consultant performance across cohorts
  • Evaluate effectiveness of affiliate programs and incentives
  • Build cohort frameworks and track engagement over time
  • Provide recommendations to improve affiliate performance
• Financial & Cross-Functional Partnership
  • Align analytics with financial metrics (CAC, margin, COGS, etc.)
  • Partner with Finance to support planning and decision-making
  • Connect customer behavior insights to financial outcomes
• Communication & Stakeholder Management
  • Translate complex data into clear, executive-level insights
  • Present recommendations confidently to senior stakeholders
  • Adapt communication style to technical and non-technical audiences
  • Simplify complex problems and highlight key business drivers

Qualifications

• 7+ years in analytics, data science, or marketing analytics
• Experience in consumer, retail, DTC, or omnichannel environments preferred
• Advanced degree (Master’s/PhD) is a plus
• Expert SQL (large-scale data environments)
• Experience with cloud platforms (GCP/BigQuery preferred)
• Strong machine learning and statistical modeling experience:
  • Churn & retention modeling
  • Predictive segmentation
  • Regression & classification
• Strong foundation in:
  • Hypothesis testing
  • Experimental design
  • Statistical inference
• Dashboarding experience (Power BI preferred)
• Strong understanding of financial concepts (CAC, margins, etc.)
• Ability to translate data into business insights
• Strong stakeholder management and communication skills
• Comfortable presenting to leadership
• Bachelor’s degree in a quantitative field (e.g., Statistics, Data Science, Math, Computer Science)