Proficiency in Python, R, or SQL for data manipulation and analysis.
Strong understanding of statistical concepts and mathematical foundations.
Knowledge of algorithms for predictive models and data insights.
Clean, preprocess, and transform raw data for analysis.
Create visually appealing charts and dashboards to communicate findings.
Familiarity with Hadoop, Spark, or Hive for handling large data volumes.
Understanding of the industry enhances meaningful insights.