Customer Data Platform (CDP) & Marketing Analytics Specialist

Mandatory Skills

CDP Implementations
Marketing Analysis
Python
SQL
ADF
Azure Databricks
GenAI
AI/ML
Additional Skills

ML Ops
Communication Skills
Job Description

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:
o Customer Lifetime Value (CLV) estimation

o Churn prediction and retention modeling o Attribution analysis to evaluate campaign ROI

o Sentiment and intent analysis using NLP on social media, chat, and survey data

o Next Best Action (NBA) models to dynamically recommend personalized offers, content, or touchpoints across channels.

o 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:
o Automated customer service chatbots

o Content generation and personalization

o 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

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.
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.

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).
Additional Information

Required Qualification
Bachelor of Computer Applications (B.C.A.) ,

Job Insights: Important Tips to source better

Please look for immediate joiners only. (Immediate to 15 days)
This is 5 days work from office role in Hyderabad (No Hybrid/ Remote options available)
Relocation is open for this role

Prior experience in B2C/D2C industries (e.g., retail, travel & hospitality, e-commerce). (Please consider these preferred industries)
Questionnaire

Question1 : Experience in CDP implementation and marketing analytics? (in years) ?

Desired answer : Minimum 5 years

Question2 : Experience in Python, SQL and AI/ML Frameworks? (Please mention separately) ?

Desired answer : Please specify

Question3 : Experience in Azure Data Factory, Databricks, Synapse, Snowflake? (Please specify the tools) ?

Desired answer : Any of them

Question4 : Experience deploying GenAI applications? ?

Desired answer : yes