Lead Data Insights Specialist

2 weeks ago


Mysore, Karnataka, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000

Job Profile

Senior Data Analyst Position Overview

This highly coveted role focuses on leveraging data insights to drive strategic business decisions, enhance customer experiences, and foster leadership excellence.

  • Key Responsibilities:
  • Develop and implement advanced analytical tools and capabilities across the organization to extract actionable insights from large datasets.
  • Collaborate with key stakeholders to drive critical business processes, foster joint initiatives, and ensure seamless communication of findings through effective presentations and diverse channels.
  • Apply expertise in data modeling, statistical analysis, and deep knowledge of core datasets to identify areas of improvement and optimize operational efficiency.
  • Stay current with external trends and cutting-edge analytics capabilities within and beyond the pharmaceutical sector to inform strategic decision-making.
Requirements for Success
  • Hold a 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; advanced degrees preferred.
  • Accumulate a minimum of 2+ years of experience in Pharmaceutical, Biotech, or Healthcare analytics or secondary data analysis.
  • Gain at least 5 years of experience applying advanced statistical methods and procedures to complex datasets, with hands-on proficiency in PySpark, Python, R, and SQL.
  • Possess working knowledge of data visualization tools (Power BI, MicroStrategy, Tableau, QlikView, D3.js, or similar), familiarity with platforms like Databricks, and proficiency in MS Office, particularly Excel and PowerPoint.
  • Demonstrate strong experience in analyzing longitudinal data sources, extracting insights from complex analyses, and communicating findings effectively.
  • Prior exposure to IQVIA datasets and ability to handle large-scale secondary transactional databases are essential.
  • Exhibit solid background in statistical analysis and modeling, with strong organizational and time management skills.

This is an exceptional opportunity for talented professionals to leverage their expertise, drive business growth, and excel in a dynamic environment.



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