Transformational Data Insights Leader

3 days ago

Udaipur, Rajasthan, India beBeeData Full time ₹ 10,00,000 - ₹ 20,00,000

Job Overview

  • We are seeking an exceptional Senior Data Analyst to lead our data-driven initiatives, focusing on strategic planning and resource allocation decisions.
  • The ideal candidate will have a strong understanding of internal stakeholders' data and analytical needs, with a focus on customer-facing leadership models.

Responsibilities

  • Develop a comprehensive understanding of our data landscape, identifying opportunities for improvement and growth.
  • Partner with sales operations to drive key business processes and collaborate on joint initiatives.
  • 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.
  • Communicate findings effectively through clear presentations and multiple channels.
  • Apply technical expertise in data modeling, leveraging core datasets, and share best practices within the team.

Requirements

  • Bachelor's degree in a quantitative discipline (Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science) is required; an advanced degree is 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 to large datasets.
  • 4+ years of hands-on experience with PySpark, Python, R, and SQL.
  • Familiarity with platforms like Databricks.
  • Working knowledge of data visualization tools (Power BI, MicroStrategy, Tableau, QlikView, or similar).
  • Proficiency with MS Office, particularly Excel and PowerPoint.
  • Experience in analyzing large longitudinal data sources (claims, EMR, and patient-level datasets).
  • Prior exposure to IQVIA datasets.
  • Ability to extract, interpret, and communicate complex analysis insights.
  • Strong organizational and time management skills.
  • Proven expertise in handling large-scale databases.
  • Solid background in statistical analysis and modeling.

Skills and Qualifications

  • Advanced statistical methods and machine learning algorithms.
  • Large-scale data analysis and interpretation.
  • Database management and data modeling.
  • Python, R, and SQL programming languages.
  • PySpark and Databricks experience.
  • Data visualization and presentation skills.

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