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) estimationChurn prediction and retention modellingAttribution analysis to evaluate campaign ROISentiment and intent analysis using NLP on social media, chat, and survey dataNext 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 chatbotsContent generation and personalizationSynthetic data generation for simulation and testingImplement 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 analyticsPreferred 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)