Data Driven Strategy Manager

5 days ago

Kozhikode, Kerala, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,20,00,000

Job Overview:

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You will lead a team of analysts using your experience in marketing, data analytics, statistics and machine learning to drive strategic initiatives and decision-making. You will work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes.

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Key Responsibilities:

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  • Team Leadership & Development:">
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    • Lead and mentor a team of analysts, fostering a culture of collaboration and excellence.">
    • Provide training and guidance on analytics best practices and methodologies.">
    • Ensure alignment of team goals with organizational objectives.">
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  • Strategic Analytics Planning:">
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    • Collaborate with stakeholders to understand business objectives and design data-driven solutions.">
    • Translate complex business problems into actionable analytical frameworks.">
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  • Advanced Marketing Analytics & Modeling:">
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    • Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems.">
    • Evaluate, validate, and deploy robust models.">
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  • Data Governance & Quality Assurance:">
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    • Oversight of data integrity and accuracy across all analytics projects.">
    • Establish data governance policies and ensure compliance with security standards.">
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  • Client Engagement & Delivery:">
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    • 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.">
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  • Cross-Functional Collaboration:">
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    • Work with marketing, product, and engineering teams to integrate analytics solutions into decision-making processes and products.">
    • Drive alignment between analytics initiatives and broader business strategies.">
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  • Innovation & Continuous Improvement:">
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    • Stay up-to-date on emerging trends in analytics, data science, machine learning, and technology to identify new opportunities.">
    • Foster a culture of experimentation, leveraging cutting-edge tools and techniques.">
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