Chief Analytics Strategist

21 hours ago


Surat, Gujarat, India beBeeAnalytics Full time ₹ 1,00,00,000 - ₹ 2,50,00,000
Job Overview

As a seasoned analytics professional, you will leverage your expertise in marketing, data analytics, statistics, and machine learning to lead cross-functional teams and clients in designing, implementing, and optimizing advanced analytics solutions that drive measurable outcomes and deliver ROI.

Key Responsibilities:
  • Team Leadership & Development: Lead a team of analysts, fostering a culture of collaboration, innovation, and excellence. Provide training and guidance on analytics best practices, tools, and methodologies.
  • Strategic Analytics Planning: Collaborate with stakeholders to understand business objectives and design data-driven solutions. Translate complex business problems into actionable analytical frameworks.
  • Advanced Marketing Analytics & Modeling: Develop and oversee the implementation of 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.
  • 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.
  • 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 abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities. Encourage a culture of experimentation, leveraging cutting-edge tools and techniques.
Requirements and Skills:
  • Experience: 5+ years of professional experience in analytics, data science, or related roles. At least 3 years' experience in the digital marketing industry is mandatory. Experience in managing marketing analytics projects for international clients, specifically US and UK, is mandatory.
  • Technical Expertise: Advanced proficiency in Python, SQL, and Statistical techniques. Strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). Expertise in data visualization tools (Power BI, Tableau).


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