Data Marketing Analyst - Remote

KNN Digital Media Inc.; Bogotá ciudad; Remote; COP 222,809,000 - 381,959,000; Full time

Job summary

KNN Digital Media Inc. is seeking a Marketing Data Analyst to turn complex marketing and customer data into actionable insights that drive growth, improve marketing efficiency, and support business decisions.

This is a hands-on role combining advanced data analytics, predictive modeling, marketing attribution, and Business Intelligence. You will work with our Marketing and eCommerce teams to optimize acquisition, retention, creative performance, and long-term customer value.

Qualifications

• 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.
• Advanced SQL skills for data extraction, transformation, and analysis.

Responsibilities

• Own marketing analytics and predictive modeling to identify growth opportunities and improve results.
• Analyze paid acquisition performance across multiple digital advertising channels.
• Monitor ROAS, CAC, LTV, and conversion rates; evaluate attribution & profitability.
• Build and maintain dashboards and reports using Power BI or Tableau.
• Collaborate with Marketing and eCommerce teams to translate insights into action.

Skills

Python

SQL

Power BI

Tableau

Triple Whale

AI tools (Claude)

Klaviyo

Shopify

Tools

Power BI

Tableau

Job description

• Analytical, data-driven & growth-focused

• Full-time | 100% Remote (CET-aligned)
• Analytical, data-driven & growth-focused

KNN Digital Media is a global eCommerce company founded by former Google executives. We use performance marketing, media, and machine learning to drive measurable growth across a portfolio of in-house and affiliate brands, including our flagship brand in the health and wellness space, Vitalyra Health.

We're looking for a Marketing Data Analyst to join our team and turn complex marketing and customer data into actionable insights that drive growth, improve marketing efficiency, and support business decisions.

This is a hands-on role combining advanced data analytics, predictive modeling, marketing attribution, and Business Intelligence. You will work closely with our Marketing and eCommerce teams to optimize acquisition, retention, creative performance, and long-term customer value.

Why you'll love working with KNN Digital Media

• Join a high-performing team led by former Google leaders
• Be part of a fast-scaling global eCommerce company with clear growth opportunities
• Enjoy a high level of autonomy while collaborating with a smart, international team
• 100% remote role
• Work in a results-driven environment where your impact is visible and measurable

How You'll Contribute

You will take ownership of marketing analytics and predictive modeling, connecting acquisition, retention, and creative performance data to identify growth opportunities and improve business results.

Marketing Performance & Attribution

• Analyze paid acquisition performance across multiple digital advertising channels
• Monitor key marketing metrics, including ROAS, CAC, LTV, and conversion rates
• Use Triple Whale and other analytics platforms to evaluate attribution, campaign effectiveness, and profitability
• Identify discrepancies between advertising platforms, attribution tools, and eCommerce sales data
• Analyze marketing incrementality and recommend improvements to budget allocation

Predictive Modeling & Customer Analytics

• Develop, validate, and maintain predictive models for LTV, churn, and purchase propensity
• Analyze customer behavior, segmentation, and purchase patterns to identify growth opportunities
• Conduct cohort analysis and evaluate retention, repeat purchase rates, and subscription performance
• Monitor model performance and translate predictive insights into acquisition and retention strategies

Business Intelligence & Data Analytics

• Build and maintain dashboards and reports using Power BI, Tableau, or similar BI tools
• Extract, transform, and analyze complex datasets using SQL and Python
• Integrate marketing, eCommerce, and customer data to provide accurate and consistent reporting
• Improve data quality, reporting processes, and analytics automation

Creative Performance & Marketing Experimentation

• Analyze creative, content, and landing page performance to identify opportunities for optimization
• Connect creative performance with acquisition efficiency, conversion, and customer lifetime value
• Design and analyze A/B tests and incrementality experiments to measure marketing effectiveness
• Provide actionable recommendations to improve campaign and creative performance

Cross-Functional Collaboration

• Collaborate with Marketing, eCommerce, and other teams to understand business priorities and analytical needs.
• Translate complex data into clear, actionable recommendations to improve revenue, profitability, and marketing efficiency.
• Take ownership of analytical initiatives from data exploration through implementation and performance evaluation.
• Communicate findings, results, and recommendations clearly to relevant stakeholders.

KPIs

• Marketing performance and acquisition efficiency (ROAS, CAC)
• Customer Lifetime Value (LTV), churn, and retention
• Predictive model performance and business impact
• Marketing attribution and data accuracy
• Dashboard reliability and reporting efficiency
• Business improvements driven by analytical insights

Minimum Requirements

What you'll need to succeed in this role

• 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)

Nice to have

• Experience with Marketing Mix Modeling (MMM) and advanced incrementality testing
• Experience with CRM and retention platforms such as Klaviyo
• Knowledge of data warehousing, ETL/ELT processes, and tools such as Snowflake, BigQuery, or dbt
• Experience in health, wellness, supplements, or similar consumer products