Customer Data Platform (CDP) Analytics

YO IT Group; Hyderabad; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

A leading IT consulting firm in Hyderabad is seeking a CDP & Marketing Analytics Specialist to drive data-driven marketing solutions. The ideal candidate will have over 5 years of experience in customer data platforms and analytics, leveraging advanced ML techniques for personalized strategies. This full-time position offers opportunities for innovation in marketing analytics and customer data science.

Qualifications

• 5+ years of experience in CDP implementation and marketing analytics.
• Experience with any one of Hightouch, Segment, mParticle, etc.
• Strong proficiency in Python, SQL, and ML frameworks.

Responsibilities

• Design and implement customer data ingestion strategies from diverse sources.
• Build and maintain real-time streaming data pipelines.
• Develop AI/ML-driven customer segmentation models.

Skills

CDP implementation

Marketing analytics

Python

SQL

MLOps practices

NLP techniques

Cloud platforms

Customer data ingestion

Education

Bachelor's or master’s degree in computer science or related field

Tools

Hightouch

Segment

Databricks

Snowflake

Job description

4 days ago Be among the first 25 applicants

This range is provided by YO IT Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Experience: 5 to 10 Years

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.
• Experience with tools like Hightouch, Segment, mParticle, Treasure Data, Amperity, Simon data, or Salesforce CDP (Experience in any one tool is mandatory).
• Exposure to MLOps practices and model monitoring pipelines.
• 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.

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 modeling
• 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

Skills: amperity, sql, salesforce cdp, segment, mparticle, platforms, databricks, azure, ai/ml frameworks, hightouch, marketing analytics, marketing funnels, ml, analytics, customer data, synapse, snowflake, nltk, genai applications, campaign attribution models, simon data, transformers, retention strategies, spacy, cdp, python, treasure data, azure data factory, nlp techniques, mlops practices

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting

We’re not including additional job referrals and unrelated notices in this refined description.