Lead Data Analyst

Job Title: Lead Data Analyst – Marketing Data & AI

Experience:

Role Type:

Role Overview:

Lead Data Analyst

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

  .