Responsibilities: Analyze and interpret complex data sets to inform business decisions, develop predictive models, perform data mining, and identify trends and patterns.

Skills Needed: Proficiency in statistical analysis, machine learning, data visualization tools (such as Tableau or Power BI), programming languages (such as Python or R), and experience with big data technologies (such as Hadoop or Spark).

Example Tasks: Developing predictive models for risk assessment, analyzing scheduling data to optimize project timelines, and identifying patterns in resource allocation.