Customer Data Platform & Marketing Analytics Specialist

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)

Location: hyderabad, IN

Posted Date: 5/23/2025