Job
Description
As a highly skilled CDP & Marketing Analytics Specialist at our digital transformation team, your primary role will involve leveraging Customer Data Platforms (CDPs) and advanced analytics to enable data-driven decision-making and hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from various sources into a unified CDP. - Building and maintaining real-time streaming data pipelines using tools like Azure Data Factory, Databricks, Kafka, etc. - Developing composable CDPs using modern data platforms such as Snowflake and Databricks. - Deploying AI/ML-driven customer segmentation models and performing advanced analytics including CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. - Building and operationalizing predictive models for customer service chatbots, content generation, and personalization. - Implementing real-time decisioning engines and API-based integrations with advertising platforms for dynamic campaign execution. - Collaborating with cross-functional teams including marketing, data engineering, product, and analytics for seamless operations. Qualifications required for this role: - 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. - Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP. - Exposure to MLOps practices and model monitoring pipelines. - Strong proficiency in Python, SQL, and ML frameworks. - Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. - Hands-on experience with NLP techniques and libraries. - Experience deploying GenAI applications. - Familiarity with campaign attribution models, marketing funnels, and retention strategies. - Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information: Bachelor of Computer Applications (B.C.A.). Job Types: Full-time, Permanent. Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP is mandatory. Experience in Python, SQL, and AI/ML Frameworks is required. Experience in Azure Data Factory, Databricks, Synapse, Snowflake is preferred. Experience deploying GenAI applications is essential. Experience: CDP implementation and marketing analytics: 6 years (Preferred) Work Location: In person As a highly skilled CDP & Marketing Analytics Specialist at our digital transformation team, your primary role will involve leveraging Customer Data Platforms (CDPs) and advanced analytics to enable data-driven decision-making and hyper-personalized marketing at scale. Your responsibilities will include: - Designing and implementing end-to-end customer data ingestion strategies from various sources into a unified CDP. - Building and maintaining real-time streaming data pipelines using tools like Azure Data Factory, Databricks, Kafka, etc. - Developing composable CDPs using modern data platforms such as Snowflake and Databricks. - Deploying AI/ML-driven customer segmentation models and performing advanced analytics including CLV estimation, churn prediction, attribution analysis, sentiment analysis, and propensity modeling. - Building and operationalizing predictive models for customer service chatbots, content generation, and personalization. - Implementing real-time decisioning engines and API-based integrations with advertising platforms for dynamic campaign execution. - Collaborating with cross-functional teams including marketing, data engineering, product, and analytics for seamless operations. Qualifications required for this role: - 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. - Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP. - Exposure to MLOps practices and model monitoring pipelines. - Strong proficiency in Python, SQL, and ML frameworks. - Experience with cloud platforms and tools like Azure Data Factory, Databricks, Synapse, Snowflake. - Hands-on experience with NLP techniques and libraries. - Experience deploying GenAI applications. - Familiarity with campaign attribution models, marketing funnels, and retention strategies. - Excellent analytical, communication, and stakeholder management skills. Preferred Skills: Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). Additional Information: Bachelor of Computer Applications (B.C.A.). Job Types: Full-time, Permanent. Experience with tools like Hightouch, Segment, mParticle, Treasure D
