Customer Data Platform (CDP) & Marketing Analytics Specialist, Hyderabad
AALUCKS Talent Pro

Position: Customer Data Platform (CDP) & Marketing Analytics Specialist, Hyderabad
Department: Information Technology | Role: Full-time | Experience: 5 to 10 Years | Number of Positions: 1 | Location: Hyderabad
Skillset:
CDP Implementations, Marketing Analysis, Python, SQL, ADF, Azure Databricks, GenAI, AI/ML, ML Ops, Excellent English Communication Skills
Job Description:
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:
o Customer Lifetime Value (CLV) estimation
o Churn prediction and retention modeling o Attribution analysis to evaluate campaign ROI
o Sentiment and intent analysis using NLP on social media, chat, and survey data
o Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels.
o 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:
o Automated customer service chatbots
o Content generation and personalization
o 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).
Required Qualification:
Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.)- IT, CS, E&CE, MCA
With a fast-growing analytics, business intelligence, and automation company