Role Overview
Full-time, 100% remote role combining advanced data analytics, predictive modeling, marketing attribution, and Business Intelligence to drive growth, improve marketing efficiency, and support business decisions.
What You Will Do
Analyze complex marketing and customer data to identify growth opportunities, improve business results, and provide actionable recommendations to improve revenue, profitability, and marketing efficiency.
Why It Might Be a Fit
Join a high-performing team led by former Google leaders, enjoy a high level of autonomy, and work in a results-driven environment where your impact is visible and measurable.
Requirements
- 5+ years of experience in Data Analytics, Marketing Analytics, or a similar role, with significant experience in DTC eCommerce
- Proven experience analyzing digital marketing performance, acquisition, retention, and attribution
- Hands-on experience developing and implementing predictive models for LTV, churn, or purchase propensity
- Strong Python skills for data analysis, statistical modeling, and machine learning
- Hands-on experience using AI-powered tools such as Claude or Claude Code for data analysis, coding, and workflow automation
- Advanced SQL skills for data extraction, transformation, and analysis
- Advanced proficiency in Business Intelligence tools such as Power BI or Tableau
- Hands-on experience with Triple Whale or similar marketing attribution platforms
- Experience analyzing advertising data from Meta, Google, TikTok, or Amazon Ads
- Experience working with Shopify, Amazon, or similar eCommerce data
- Strong understanding of marketing KPIs, customer segmentation, cohort analysis, and experimentation
- Strong analytical and problem-solving skills, with the ability to translate data into actionable recommendations
- High level of autonomy, ownership, and attention to data accuracy
- Excellent written and verbal communication skills in English (C1+ or equivalent)
Benefits
- 100% remote role
- High level of autonomy
- Results-driven environment
- Clear growth opportunities
- High level of autonomy while collaborating with a smart, international team
To apply for this job please visit linkedin.com.

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