Senior Marketing Data Analyst

Summary

Join DataCamp as a Senior Marketing Analyst and drive our paid marketing strategy using data-driven insights. You will be responsible for data quality assurance, marketing channel reporting, LTV estimation, marketing mix modeling, and incrementality testing. Your work will directly influence marketing decisions and strategies, enhancing reach and effectiveness. Collaborate with marketing leaders, data scientists, data engineers, and software engineers, leveraging DataCamp's rich data and infrastructure. Engage with new technologies and push the boundaries of data analysis. This role offers a competitive salary, learning and development opportunities, flexible hours, international company retreats, and the chance to work with a great team.

Requirements

• Is fluent with AI, capable of using it to magnify success for them & their stakeholders
• Has a passion for DataCamp’s mission of data literacy
• Has a proven track record of success in analytics for performance marketing
• Has 4+ years of experience in marketing analytics
• Demonstrated experience in LTV estimation, attribution modeling, marketing mix modeling and marketing performance analysis
• Is highly skilled in SQL, R (Tidyverse) or Python
• Has 2+ years of experience using BI Tools (Tableau, Looker, etc.)
• Has strong storytelling skills with a track record of presenting to both technical and non-technical audiences
• Has strong problem-solving skills, with an ability to come to rigorous and defensible solutions to complex and open-ended problems
• Strong interpersonal and relationship-building skills
• Knowledge of web analytics tracking and tools like GTM, GA4, Adobe Analytics, Heap, etc
• Has hands-on experience with data pipelines via tools such as dbt or Airflow

Responsibilities

• Generate comprehensive reports and dashboards for marketing channel performance, providing actionable insights for optimization
• Estimate and monitor customer lifetime value (LTV) to guide marketing strategies and budget allocation
• Develop, implement, and sustain attribution and marketing mix models to link marketing tactics to both short-term and long-term business outcomes
• Conduct incrementality testing to evaluate the effectiveness of marketing campaigns and initiatives
• Collaborate closely with marketing team members, data scientists, and data engineers to align data practices and insights with business objectives
• Mentor and support team members in analytics best practices, raising the analytics IQ of the marketing team
• Develop and maintain high standards of data quality, ensuring accuracy and consistency across marketing channels

Benefits

• A competitive salary
• Learning and development. We encourage continued education through a conference budget and external training
• Flexible hours
• International company retreats