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Anand | Expertini

Urgent! Lead Data Analyst Job | ThirdEye Data

Lead Data Analyst



Job description

Job Title: Lead Data Analyst – Marketing Data & AI
Experience:  6–8 Years
Role Type:  Contract
Role Overview:
We are seeking an experienced  Lead Data Analyst with deep expertise in  Customer Data Platforms (CDP) ,  Agentic AI ,  data management , and  marketing analytics .

This role focuses on enabling data-driven decision-making and optimizing customer engagement through advanced analytics, AI, and integrated marketing data ecosystems.

The ideal candidate has strong technical and analytical skills, extensive experience in  Adobe Analytics ,  ROI measurement , and  customer loyalty analysis , and the ability to translate complex data insights into actionable business strategies.
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 .


Required Skill Profession

Mathematical Science Occupations



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