Senior Marketing Advanced Analytics Job at KellyMitchell Group in Dallas

Job Summary:

Our client is seeking a Senior Marketing Advanced Analytics to join their team! This position is located in Dallas, Texas.

Duties:

• Write and optimize complex SQL queries and Python scripts for data manipulation, automation, and analytical processes
• Analyze marketing campaign performance to identify trends, insights, and opportunities for improvement
• Build and apply causal inference and propensity models to predict customer behavior and enhance campaign targeting
• Design and execute A/B tests, including test/control setup and results interpretation, to inform marketing strategies
• Generate campaign lists and perform post-campaign analyses to evaluate effectiveness and ROI
• Leverage Databricks for big data processing and Snowflake for efficient, scalable data warehousing solutions
• Develop and maintain Tableau dashboards and visualizations to communicate insights to business stakeholders
• Collaborate with cross-functional teams including marketing, data science, and engineering to align analytics efforts with business goals
• Apply machine learning techniques to improve automation, targeting, and campaign performance
• Present analytical findings and actionable insights clearly to non-technical stakeholders to support data-driven decision-making

Desired Skills/Experience:

• 3+ years of experience in SQL and Python, with proven ability to write complex queries, optimize performance, and develop scripts for data manipulation, automation, and analysis
• 1+ years of experience in campaign analytics, including analyzing campaign performance, building causal inference models, and developing propensity models to predict customer behavior
• Solid understanding of A/B testing and experimentation, including experimental design, test/control setup, and interpreting results to guide marketing strategy
• Advanced proficiency in campaign list generation, post-campaign analysis, automation, and applying machine learning techniques using SQL and Python
• Familiarity with Databricks for big data processing and Snowflake for scalable data warehousing
• Experience creating dashboards and visualizations in Tableau to effectively communicate insights to business stakeholders
• Exposure to the full marketing campaign lifecycle and customer segmentation strategies
• Proven ability to collaborate effectively with cross-functional teams, including marketing, data science, and engineering
• Strong communication skills with the ability to present technical insights clearly to non-technical audiences

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position is between $53.00 and $76.00 . Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.