Marketing Analytics Technical Lead

6 - 8 years

0 Lacs

Posted:4 days ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

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Role Overview:

Marketing Analytics Technical Lead

Key Responsibilities:

  • Analyze marketing performance across channels using advanced data techniques.
  • Build dashboards and reports to monitor KPIs such as customer acquisition, conversion, engagement, and ROI.
  • Develop and apply machine learning models for customer segmentation, churn prediction, recommendation systems, and lifetime value estimation.
  • Design and evaluate A/B tests and experiments to support marketing optimization.
  • Partner with cross-functional teams (Marketing, Product, Data Engineering, Data Science) to define metrics and improve campaign targeting and personalization.
  • Translate complex analytical findings into clear business insights and recommendations.
  • Ensure high standards of data quality, integrity, and governance across tools and systems.

Requirements:

  • 68 years of experience in marketing analytics, data science, or related field.
  • Proven experience applying AI/ML techniques to marketing problems (e.g., clustering, classification, regression, recommendation engines).
  • Advanced proficiency in SQL and experience working with large datasets.
  • Strong programming skills in Python or R for data analysis and modeling.
  • Familiarity with marketing platforms and tools (e.g., Google Analytics, Adobe Analytics, CRM systems).
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker).
  • Solid understanding of marketing funnels, attribution, and customer journey analytics.
  • Experience with statistical testing, experimentation, and A/B testing.

Preferred Qualifications:

  • Experience working with cloud-based data platforms (e.g., Snowflake, BigQuery, AWS, GCP).
  • Exposure to CDPs, marketing automation platforms, and real-time data pipelines.
  • Background in consumer-facing industries such as retail, eCommerce, or financial services.
  • Knowledge of predictive modeling and personalization frameworks.

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