Novartis is a global leader in pharmaceuticals and healthcare, committed to reimagining medicine to improve and extend lives. With a strong presence in Hyderabad, Novartis Global Business Services (GBS) supports data-driven decision-making for internal stakeholders.
Detailed Job Description
Key Responsibilities:
- Provide analytics support to Novartis internal teams (CPOs, regional marketing, and sales).
- Manage datasets (LAAD, Xponent, DDD) to extract trends and insights.
- Develop standard and ad-hoc reports using SQL or Dataiku.
- Present findings through reports and presentations.
- Support advanced analytics initiatives, including APLD (Anonymous Patient-Level Data) analysis.
- Collaborate with cross-functional teams to enhance data-driven decision-making.
Essential Requirements:
- Strong analytical thinking and problem-solving skills.
- Proficiency in Excel, SQL, PowerPoint; knowledge of Dataiku/Alteryx is a plus.
- Ability to work independently and in a team.
- Excellent communication and interpersonal skills.
- 1+ years of experience in data modeling/reporting (pharma datasets preferred).
Desirable Qualifications:
- Master’s or Bachelor’s in STEM (Science, Technology, Engineering, Mathematics).
- Exposure to statistical modeling or machine learning.
- Experience with US national/subnational datasets (APLD, Xponent, DDD).
Eligibility & Benefits
Eligibility:
- Education: Bachelor’s/Master’s in STEM fields.
- Experience: 1+ years in data analytics/reporting.
- Skills Required: SQL, Excel, Data Visualization, Pharma Datasets.
Qualifications:
B.Pharm, M.Pharm, BSc in Life Sciences, MSc in Life Sciences, BSc in Biotechnology, MSc in Biotechnology, BSc in Biochemistry, MSc in Biochemistry, BSc in Microbiology, MSc in Microbiology, BSc in Chemistry, MSc in Chemistry, BSc in Statistics, MSc in Statistics, BSc in Mathematics, MSc in Mathematics, B.Tech in Computer Science, M.Tech in Computer Science, B.Tech in Information Technology, M.Tech in Information Technology, B.Tech in Biomedical Engineering, M.Tech in Biomedical Engineering, BCA, MCA, BSc in Data Science, MSc in Data Science, BSc in Computer Applications, MSc in Computer Applications, B.Tech in Artificial Intelligence, M.Tech in Artificial Intelligence, B.E in Chemical Engineering, M.E in Chemical Engineering, BSc in Physics, MSc in Physics, BSc in Environmental Science, MSc in Environmental Science, BSc in Economics with Statistics, MSc in Economics with Statistics, BSc in Public Health with Analytics, MSc in Public Health with Analytics
Benefits:
- Competitive salary & performance bonuses.
- Health & wellness programs.
- Flexible work policies.
- Career growth & learning opportunities.
