Marketing Analytics Director

Job Overview:

This key role involves leveraging extensive experience in marketing, data analytics, statistics, and machine learning to drive data-driven strategies and decision-making.

The successful candidate will lead a team of analysts and work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.

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• Team Leadership & Development:">
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  • Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.">
  • Provide training and guidance on analytics best practices, tools, 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 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.">
  • Ensure robust model evaluation, validation, and deployment processes.">
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• Analytics & AI Charter:">
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  • Lead 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.">
  • Drive the vision for analytics and AI capabilities, integrating them into the company's strategic roadmap.">
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• Data Governance & Quality Assurance:">
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  • Oversee data integrity, accuracy, and consistency across all analytics projects.">
  • Establish data governance policies and ensure compliance with data security standards.">
  • Streamline Extract, Transform, Load (ETL) processes for efficient data management.">
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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.">
  • Manage client expectations and ensure timely delivery of analytics projects.">
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• Cross-Functional Collaboration:">
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  • 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.">
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• Innovation & Continuous Improvement:">
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  • 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:">
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  • Experience:">
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    • 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.">
    • Proven track record of managing analytics teams and delivering high-impact projects.">
    • Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.">
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  • Technical Expertise:">
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    • 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).">
    • Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.">
    • Experience with cloud platforms like GCP (BigQuery).">
    • Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.">
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  • Leadership & Collaboration:">
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    • Exceptional leadership skills with the ability to inspire and motivate teams.">
    • Strong interpersonal skills to build effective relationships with stakeholders and clients.">
    • Ability to manage multiple projects in a fast-paced, agile environment.">
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  • Strategic Thinking:">
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    • Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation, and campaign optimization.">
    • Ability to think critically and solve complex business problems with data-driven solutions.">
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  • Communication:">
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    • Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences.">
    • Experience in preparing executive-level reports and presentations.">
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