Senior Marketing Channel Insights Data Analyst

As a Senior Data Analyst on the Marketing Channel Insights team, you will tackle complex marketing data challenges and generate actionable insights that improve the effectiveness of owned marketing channels (Email, SMS, Direct Mail, App). This role plays a key part in evaluating channel performance, measuring campaign impact, and informing data-driven decisions that improve customer engagement and marketing outcomes.

• This position is fully remote
• This role is an Individual Contributor position

• Conduct in-depth statistical analysis of owned marketing channel performance, including email, SMS, push notifications, direct mail, and in-app messaging
• Develop dashboards and interactive visualizations that communicate marketing performance insights to stakeholders
• Design and execute A/B tests and experiments, applying statistical methods to rigorously measure impact, ROI, and lift
• Maintain technical proficiency by writing advanced SQL queries and utilizing Python or R for deep analysis
• Translate analytical findings into actionable insights and recommendations that support marketing and customer engagement decisions
• Collaborate with marketing, CRM, and operational teams to influence strategic roadmaps and execution
• Partner with data engineering teams to ensure data quality and integrity

• Advanced SQL proficiency for complex data querying, transformation, and optimization
• Expertise in data visualization tools (Tableau, Power BI, Looker) for developing dashboards and communicating insights
• Strong knowledge of statistical analysis methods, including hypothesis testing, segmentation, and experimental design
• Experience in analyzing large customer datasets and identifying meaningful patterns
• Proficiency with Python or R for data mining, feature engineering, or statistical modeling
• Experience in using Adobe Analytics or Google Analytics to analyze user digital journey
• Strong data storytelling and communication skills with the ability to translate complex insights into clear business recommendations
• Ability to connect analytical findings to business performance and strategic decisions

• 5+ years of experience in a hands-on data analyst or growth analytics role
• Bachelor’s degree in Data Science, Information Systems, Mathematics, Statistics, Business Analytics, or a related quantitative field (or equivalent practical experience).
• Proven experience delivering complex data analysis projects in an agile or collaborative environment
• Strong proficiency in SQL, Python or R for advanced data analysis and modeling
• Experience working with large-scale customer, transactional, or behavioral datasets