Description

You will build and deploy data-driven solutions to support business strategy.

Responsibilities

• Collect, cleanse, and interpret data from Excel and SharePoint/database sources using Python for analytics.
• Develop Python scripts to automate data processing, validate quality, and accelerate analytical workflows.
• Leverage AI models to conduct competitive analysis, research industry trends, and generate data-backed recommendations.
• Create executive-level presentations in PowerPoint translating complex findings into clear business recommendations.
• Support New Model Programs by delivering actionable insights during Business Plan Review forums.

Required Skills

• Minimum of one year of recent professional experience, with 5+ years of working experience preferred.
• Proficiency in Python for data analysis, modeling, and data transformation (including pandas aggregation).
• Experience with data quality profiling and data extraction using Python.
• Demonstrated ability to use AI tools effectively for research, problem-solving, and code generation.
• Familiarity with forecasting using scikit-learn, stats models, or Excel Solver.
• Experience with data visualization techniques, including statistical correlations and pivot tables.
• Bachelor's degree in Engineering, Data Science, Statistics, Computer Science, or related field.
• Familiarity with SQL and database querying.

Key Skills

Education

Bachelor's degree