Senior Data Insights Leader

1 week ago


Kannur, Kerala, India beBeeAnalytics Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Senior Analytics Professional Opportunity

We are seeking a highly skilled and experienced Senior Analytics professional to lead our team in driving data-driven strategies and decision-making. The successful candidate 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 and delivering ROI.

About the Role
  • This is a unique opportunity for an exceptional analytics leader to join our organization and drive growth through data insights.
Key Responsibilities
  • 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.
  • Collaborate with stakeholders to understand business objectives and design data-driven solutions.
  • Translate complex business problems into actionable analytical frameworks.
  • 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.
  • Oversee data integrity, accuracy, and consistency across all analytics projects.
  • Establish data governance policies and ensure compliance with data security standards.
  • Streamline ETL (Extract, Transform, Load) processes for efficient data management.
  • 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.
  • 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.
  • 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.
    • 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.
  • 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).
    • 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.
  • Leadership & Collaboration:
    • 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.
  • Strategic Thinking:
    • 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.
  • Communication:
    • 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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