Analyst, Social Media Intelligence

Key Responsibilities

• Support the delivery of Social Media Listening analysis, including:
  • Brand and disease landscape analysis
  • Competitive intelligence and congress tracking
  • Patient journey and audience insights
  • Social media perception and campaign performance analysis
• Translate stakeholder requirements into structured analytical outputs
• Perform qualitative and quantitative analysis to identify trends, patterns, and relevant insights
• Support end-to-end execution of assigned projects, ensuring adherence to timelines and quality standards
• Collaborate with internal stakeholders to understand business needs and provide analytical support
• Support the development and maintenance of documentation, including standard operating procedures, quality checklists, and knowledge repositories
• Comply with internal processes, including time tracking, KPI reporting, and applicable organizational policies
• Work collaboratively with team members to support project delivery and knowledge sharing
• AI & Analytics Capabilities
  • Support the application of automation and AI-enabled approaches within Social Media Listening workflows
  • Work with large volumes of structured and unstructured data to support analysis and insight generation
  • Utilize available tools and methodologies for activities such as data classification, tagging, and trend analysis
  • Stay updated on developments in digital analytics and AI relevant to Social Media Listening

Essential Requirements:

• MBA or full-time Graduation in Life Sciences, Pharmacy, Medicine, or related disciplines.
• 2–3 years of experience in Social Media Listening, analytics, or market research, preferably in pharmaceutical or healthcare industry
• Experience working with Social Media Listening tools such as Sprinklr, Brandwatch, Talkwalker, or similar platforms
• Strong analytical and problem-solving skills
• Understanding of pharmaceutical industry and regulatory environment
• Experience working in a global or cross-functional environment
• Strong communication skills

Desirable Requirements:

• AI-enabled analytics and automation: Hands-on experience with automation, AI-enabled workflows, tagging, classification, or trend analysis within analytics processes.
• Advanced SML use-case exposure: Prior experience in complex SML applications such as congress tracking, competitive intelligence, launch tracking, patient journey mapping, or campaign performance evaluation.
• Large-scale data handling: Comfort working with large volumes of structured and unstructured data to support scalable analysis
• Innovation and continuous learning mindset: Ability to stay updated on emerging digital analytics, AI, and social listening trends and apply them to improve ways of working.
• Knowledge management and capability building: Ability to contribute to SOPs, quality checklists, repositories, best-practice sharing, and team learning