Chief Data Strategist

1 day ago

Jaipur, Rajasthan, India beBeeDataDriven Full time US$ 1,50,000 - US$ 2,00,000
Lead Data Analyst

Our team is seeking an experienced Lead Data Analyst to play a key role in driving data-driven strategies and decision-making. As a vital member of our team, you will oversee the development and implementation of advanced analytics solutions that solve complex business challenges.

  • Team Leadership & Development:
    • Foster a culture of collaboration and innovation by leading and mentoring a team of analysts, ensuring alignment with organizational objectives.
    • Provide training and guidance on best practices, tools, and methodologies to ensure seamless execution of projects.
  • Strategic Analytics Planning:
    • Collaborate with stakeholders to design and implement data-driven solutions that meet business needs.
    • Translate complex business problems into actionable analytical frameworks to drive informed decision-making.
  • Advanced Marketing Analytics & Modeling:
    • Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
    • Drive the use of advanced analytics techniques 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.
  • Own the Analytics Charter:
    • Oversee the development of end-to-end advanced analytics products, including predictive models, real-time dashboards, and proof-of-concept (PoC) solutions to solve marketing challenges.
    • Launch and manage experiments and PoCs across key areas like campaign optimization, media planning, budget optimization, and customer analytics.
  • Data Governance & Quality Assurance:
    • Ensure 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.
    • Oversee the creation of compelling data visualizations and dashboards tailored to client needs.
  • Cross-Functional Collaboration:
    • Work closely with cross-functional 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 and innovation, leveraging cutting-edge tools and techniques.

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