Experience Requirements :
All potential candidates should read through the following details of this job with care before making an application.
- SQL & Python (3–5 years) : Proven expertise in writing complex queries, optimizing performance, and developing Python scripts for data manipulation, automation, and analysis. SQL and Python skills are a must-have for this role.
- Campaign Analytics (1–2 years) : Experience analyzing campaign performance, building causal inference models, and developing propensity models to predict customer behavior.
- A / B Testing & Experimentation : Understanding of experimental design, test / control setup, and interpreting results to inform marketing strategy. Prior exposure to campaign processes is a strong advantage.
Technical Skills :
SQL & Python Expertise : Advanced proficiency in campaign list generation, post-campaign analysis, automation, and applying machine learning techniques. These skills are essential for success in this position.Databricks & Snowflake : Familiarity with Databricks for big data processing and Snowflake for scalable data warehousing.Tableau : Experience building dashboards and visualizations to communicate insights effectively to business stakeholders.Preferred Qualifications :
Exposure to marketing campaign lifecycle and customer segmentation.Experience working in cross-functional teams with marketing, data science, and engineering.Ability to communicate insights clearly to non-technical stakeholders.