Senior Data Analyst

1 week ago

Chennai, Tamil Nadu, India Nityo Infotech Full time ₹ 15,00,000 - ₹ 28,00,000 per year

Job Responsibilities

  • Develop a strong understanding of internal stakeholders' data and analytical needs, with a focus on customer-facing leadership models.
  • Advocate for the integration of local customer insights into strategic planning and resource allocation decisions.
  • Partner with US Sales Force Operations to drive key business processes and collaborate on joint initiatives.
  • Identify, prioritize, and lead the development and deployment of new analytical tools and capabilities across the organization.
  • Foster a culture of continuous improvement, encouraging innovation, testing, and adoption of new solutions.
  • Introduce advanced analytical practices to establish and maintain a competitive advantage.
  • Access and leverage information from diverse tools and data sources.
  • Communicate findings effectively through clear presentations and multiple communication channels.
  • Apply advanced technical expertise (e.g., data modeling, deep knowledge of core datasets) and share best practices within the team.
  • Demonstrate strong cross-functional understanding and collaboration, ensuring alignment with colleagues' work.
  • Stay current with external trends and leading-edge analytic capabilities within and beyond the pharmaceutical sector, and identify opportunities for application within the business.

Job Requirements

  • Bachelor's degree in a quantitative discipline (Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science) from an accredited institution is required; advanced degree (Master's, MBA, PhD) preferred.
  • Minimum 2+ years of experience in Pharmaceutical, Biotech, or Healthcare analytics or secondary data analysis.
  • At least 5 years of experience applying advanced statistical methods and procedures to large, complex datasets.
  • 4+ years of hands-on experience with PySpark, Python, R, and SQL.
  • Familiarity with platforms such as Databricks.
  • Working knowledge of data visualization tools (Power BI, MicroStrategy, Tableau, QlikView, , or similar) preferred.
  • Proficiency with MS Office, particularly Excel and PowerPoint.
  • Strong experience in analyzing large longitudinal data sources (Claims, EMR, and other patient-level datasets).
  • Prior exposure to IQVIA datasets.
  • Ability to extract, interpret, and clearly communicate insights from complex analyses.
  • Strong organizational and time management skills.
  • Proven expertise in handling and analyzing a wide range of large-scale secondary transactional databases.
  • Solid background in statistical analysis and modeling.

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