J.D. Power seeks to analyze and interpret survey research data to measure customer satisfaction and provide technical programming expertise using Python, SQL, and automation tools. The goal is to support syndicated studies that serve as customer satisfaction benchmarks across various industries, enabling clients to understand consumer needs, brand performance, and the financial benefits of improvements.
Requirements
- Python (required)
- SQL
- SAS
- SPSS
- 4+ years of an advanced understanding of statistics and/or machine learning methods
- Knowledge of and ability to work in a cloud computing environment is a plus
- Knowledge of survey design and sampling methodology is a plus
Responsibilities
- analyze and interpret the results of survey research studies that measure customer satisfaction
- provide technical programming expertise working with Python, SQL, and other automation tools
- run advanced statistical modeling, data mining and analysis on survey and non-survey data
- Creates and maintains scripts/codes to clean and manipulate data, develop models, accurately calibrate model parameters, validate model performance, and create analytical outputs
- Work with data science leads and other department leads in new product development
- develop, test, interpret, and present research on new and innovative approaches, methods, or techniques that can be applied to the advancement of our business
Other
- Organized, detail oriented, and analytical thinker
- Able to take ownership of projects and work with other individuals and teams to ensure project accuracy and timeliness of information to clients
- Work in collaboration with other team members
- Must be able to work effectively and collaboratively in a team oriented, global, and multi-cultural environment.
- Fluent in English (read, write and speak)
