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Manager of Analytics - 58136030630 at Activate Talent. Job Title:. Manager of Analytics. Job Type:. Full-Time/ Temporary / Remote. Work Hours:. PST. Job Overview:. 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 . 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) . Company Location: Argentina.