Customer Data Platform (CDP) & Marketing Analytics Specialist

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About the Role:

We are seeking a highly skilled CDP & Marketing Analytics Specialist to join our digital transformation team. The ideal candidate will have hands-on experience with Customer Data Platforms (CDPs) and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.

Key Responsibilities:

• Design and implement end-to-end customer data ingestion strategies from diverse sources (CRM, web, mobile, social, PoS, etc.) into a unified CDP.
• Build and maintain real-time streaming data pipelines using tools such as Azure Data Factory, Databricks, Kafka, etc.
• Design and implement composable Customer Data Platforms (CDPs) leveraging modern data platforms such as Snowflake, Databricks, and similar technologies.
• Develop and deploy AI/ML-driven customer segmentation models (behavioral, demographic, predictive — e.g., high CLV, churn-risk clusters).
• Perform advanced analytics, including:
• Customer Lifetime Value (CLV) estimation
• Churn prediction and retention modeling
• Attribution analysis to evaluate campaign ROI
• Sentiment and intent analysis using NLP on social media, chat, and survey data
• Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels
• Propensity model to forecast the likelihood of customer actions such as purchases, upgrades, or churn
• Build and operationalize predictive models and apply GenAI techniques for:
• Automated customer service chatbots
• Content generation and personalization
• Synthetic data generation for simulation and testing
• Implement real-time decisioning engines and API-based integrations with advertising platforms (Google Ads, Meta, etc.) for dynamic campaign execution.
• Continuously monitor and tune models and pipelines for optimal performance and data freshness.
• Collaborate with cross-functional teams including marketing, data engineering, product, and analytics.

Qualifications:

• Bachelor’s or master’s degree in computer science, Data Science, Marketing Analytics, or a related field.
• 5+ years of experience in CDP implementation and marketing analytics.
• Strong proficiency in Python, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake.
• Hands-on experience with NLP techniques and libraries (e.g., spaCy, NLTK, transformers).
• Experience deploying GenAI applications and understanding of LLM frameworks.
• Familiarity with campaign attribution models, marketing funnels, and retention strategies.
• Excellent analytical, communication, and stakeholder management skills.

Preferred Skills:

• Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon Data, or Salesforce CDP.
• Exposure to MLOps practices and model monitoring pipelines.
• Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce).