Head of Audience Data Analytics

13 hours ago

Agra, Uttar Pradesh, India beBeeAnalytics Full time ₹ 2,00,00,000 - ₹ 3,50,00,000

Job Overview:

We are seeking a seasoned professional to lead our data-driven approach in understanding audience behavior.

This role is critical in driving strategic decision-making by combining quantitative analysis with qualitative insights to inform content development and scheduling.

You will act as the bridge between research teams, synthesizing data into actionable insights and strategic presentations for senior management and marketing teams.

Main Responsibilities:

Quantitative Analysis:

  • Lead the analysis of audience data using industry-standard measurement tools.
  • Interpret and visualize large data sets to extract key performance insights across genres, time slots, demographics, and platforms.

Insight Generation:

  • Integrate quantitative data with qualitative research to build a comprehensive understanding of audience behavior.
  • Identify emerging content trends, consumption patterns, and market opportunities to inform content development and scheduling.

Strategy & Narrative Building:

  • Develop clear, concise, and strategic insight decks and presentations for senior management and marketing teams.
  • Translate data into storytelling frameworks that guide decision-making across content acquisition, creation, and positioning.

Cross-Functional Collaboration:

  • Work closely with research, marketing, and programming teams to align goals and drive cohesive strategies.
  • Serve as the key point of contact for quantitative insights within the research ecosystem.

Requirements:

Qualifications:

  • Bachelor's or Master's degree in Statistics, Data Science, Media Studies, Business Analytics, or related fields.
  • 12+ years of experience in a media/entertainment environment with a strong focus on audience research and insights.

Technical & Analytical Skills:

  • Strong quantitative analysis skills with hands-on experience in BARC, Excel, Power BI, or similar data tools.
  • Proficiency in storytelling with data – crafting compelling presentations using PowerPoint, Tableau, or other visualization tools.

Soft Skills:

  • Strong communicator with the ability to translate numbers into clear, actionable stories.
  • Collaborative mindset with the ability to work across diverse teams.
  • High attention to detail and a strategic thinker.

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