Chief Data Decision Maker

3 days ago

Jaipur, Rajasthan, India beBeeData Full time ₹ 1,50,43,200 - ₹ 2,09,96,400
Job Overview

We are seeking a seasoned Analytics Strategist to drive data-driven decision-making across the organization. As an experienced leader in marketing, data analytics, statistics, and machine learning, you will design, implement, and optimize advanced analytics solutions that solve complex business challenges.

Main Responsibilities
  • Team Leadership & Development:
    • Lead a high-performing team of analysts, fostering collaboration, innovation, and excellence.
    • Provide training and guidance on analytics best practices, tools, and methodologies.
    • Mentor team members to ensure alignment with organizational objectives.
  • Strategic Analytics Planning:
    • Collaborate with stakeholders to understand business needs and develop data-driven solutions.
    • Translate complex business problems into actionable analytical frameworks.
  • Advanced Marketing Analytics & Modeling:
    • Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems.
    • Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization.
    • Ensure robust model evaluation, validation, and deployment processes.
  • Data Governance & Quality Assurance:
    • Oversee data integrity, accuracy, and consistency across all analytics projects.
    • Establish data governance policies and ensure compliance with data security standards.
    • Streamline ETL processes for efficient data management.
  • Client Engagement & Delivery:
    • Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics.
    • Manage client expectations and ensure timely delivery of analytics projects.
  • Cross-Functional Collaboration:
    • Work with marketing, product, and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
    • Drive alignment between analytics initiatives and broader business strategies.
  • Innovation & Continuous Improvement:
    • Stay up-to-date with emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities.
    • Encourage experimentation, leveraging cutting-edge tools and techniques.

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