Python Statistical Analysis

Job Description:

KEY RESPONSIBILITIES:

• Utilize Python to perform in-depth statistical analysis on diverse datasets.
• Clean, preprocess, and transform raw data into usable formats for analysis.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement statistical models to solve complex business challenges.
• Apply various statistical techniques, including hypothesis testing, regression analysis, and time series analysis.
• Collaborate with data engineers and scientists to integrate statistical models into production systems.
• Create data visualizations, charts, and dashboards to communicate analysis results effectively.
• Work with stakeholders to define project objectives and ensure alignment with business goals.
• Stay up-to-date with emerging trends in statistical analysis, data science, and programming techniques.
• Collaborate with other team members to enhance data analysis methodologies and best practices.
• Prepare and deliver clear and concise reports and presentations to both technical and non-technical audiences.
• Participate in code reviews and contribute to maintaining a high standard of code quality.
• Knowledge of SQL for data querying and extraction is a plus.