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Customer Data Platform & Marketing Analytics Specialist

Customer Data Platform & Marketing Analytics Specialist

YO HR ConsultancyHyderabad
24 days ago
Job description

Role : Customer Data Platform (CDP) & Marketing Analytics Specialist : : 5 to 10 Mode : Work from Office (5 Days a have-

  • Experience in CDP implementation and marketing analytics.
  • Experience in Python, SQL and AI / ML Frameworks .
  • Experience in Azure Data Factory, Databricks, Synapse, Snowflake (anyone).
  • Experience GenAI applications deployment.

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 modelling
  • 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
  • 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).
  • Familiarity with campaign attribution models, marketing funnels, and retention strategies.
  • Excellent analytical, communication, and stakeholder management skills.
  • ref : hirist.tech)

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