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.