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Novartis is hiring a Analyst, Social Media Intelligence

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Hyderabad (Office)
Posted a month ago
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Job Description

Job Description Summary

#LI-Hybrid

Location: Hyderabad, India

Join a high-impact global analytics team at the forefront of Social Media Listening (SML) and digital insights in healthcare.
As an SML Analyst, you will play a key role in transforming large-scale digital and social data into meaningful insights that shape strategic decisions across brands, therapy areas, and markets. Your work will directly contribute to a deeper understanding of patient experiences, competitive dynamics, and evolving healthcare conversations.
This role offers a unique opportunity to work at the intersection of data, healthcare, and innovation, while gaining exposure to AI-enabled analytics.


 

Job Description

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


 

Skills Desired

Brand Management, Brand Marketing, Business Analytics, Data Insights, Digital Marketing, Digital Transformation, Market Intelligence, Market Research, Media Campaigns, Process Documentation, Social Media
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Salary Information

Salary: $12000-22000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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