workable

Manager of Analytics - 58136030630 @ Activate Talent

ArgentinaOnsiteFull-timePosted 39 days ago

Opens on workable

About this role

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

Requirements

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)

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