Lead Data Analyst – Marketing Data & AI

Role Overview:

Lead

As a Data Analyst Lead, you will serve as the technical backbone for cross-channel data integration, campaign measurement, and AI-driven personalization, ensuring seamless collaboration between marketing, product, and data engineering teams. 

Key Responsibilities:

• Lead the design and implementation of 

  data models and pipelines

   supporting marketing analytics and customer intelligence. 
• Integrate and manage data from 

  Customer Data Platforms (CDPs)

  , CRM, and marketing automation tools to create a unified customer view. 
• Leverage 

  Agentic AI

   and 

  Gen AI

   frameworks to automate analytical workflows and drive advanced insights. 
• Analyze marketing performance across channels to measure 

  ROI

  , customer engagement, retention, and lifetime value. 
• Build scalable 

  dashboards, reports, and visualizations

   for marketing and executive stakeholders using tools like 

  Tableau, Power BI, or Looker

  . 
• Develop and apply 

  machine learning models

   for segmentation, churn prediction, personalization, and recommendation systems. 
• Drive experimentation and 

  A/B testing

   to evaluate marketing effectiveness and optimize performance. 
• Ensure 

  data quality, governance, and compliance

   across data systems, analytics platforms, and pipelines. 
• Partner with Marketing, Product, Data Science, and Engineering teams to define KPIs, optimize customer journeys, and enhance 

  customer loyalty initiatives

  . 
• Translate analytical findings into 

  strategic recommendations

   to improve marketing performance and business outcomes. 

Requirements:

• 6–8 years of experience in 

  data analytics

  , 

  marketing analytics

  , or 

  data science

  , with a strong technical foundation. 
• Proven experience working with 

  Customer Data Platforms (CDP)

   and 

  marketing data ecosystems

  . 
• Hands-on expertise with 

  Adobe Analytics

  , 

  Google Analytics

  , and related 

  CRM/data management platforms

  . 
• Advanced proficiency in 

  SQL

   and experience working with large-scale datasets and cloud environments. 
• Strong programming skills in 

  Python

   or 

  R

   for statistical analysis, modeling, and data processing. 
• Deep understanding of 

  marketing attribution, ROI modeling, and customer journey analytics

  . 
• Experience in 

  data visualization

  , 

  dashboarding

  , and 

  storytelling through data

  . 
• Strong foundation in 

  statistical testing

  , 

  A/B testing

  , and 

  experiment design

  . 

Preferred Qualifications:

• Experience with 

  cloud-based data platforms

   (e.g., Snowflake, BigQuery, AWS, GCP). 
• Hands-on experience in 

  CDP configuration

  , audience segmentation, and data activation workflows. 
• Knowledge of 

  Agentic AI applications

  , 

  predictive modeling

  , and 

  real-time personalization

   frameworks. 
• Background in 

  consumer-centric industries

   such as retail, eCommerce, or financial services. 
• Strong understanding of 

  data governance, metadata management

  , and 

  data quality frameworks

  .