The Long-Term Forecasting (LTF) team at GM is seeking to develop analytics-driven solutions to create long-term sales forecasts that inform leadership decision-making and shape GM's future.
Requirements
- Proficiency in analytical languages/databases/tools such as Python, SQL, NoSQL(Hadoop, Casandra), Knime, Databricks, Tableau, and Power BI
- Statistical regression modeling, probability analysis, and risk analysis is preferred
- Proven track record of applied analytics
Responsibilities
- Apply data science and modeling techniques to solve complex business problems, streamline processes, and inform decision-making
- Push the bounds of traditional methods with innovative approaches
- Preprocess structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Craft ad-hoc reports and share findings and recommendations with business partners
- Contribute to special projects that receive high visibility
- Continuous improvement of processes, methodologies, and tools
Other
- This role is categorized as hybrid. This means the successful candidate is expected to report to the office three times per week or other frequency dictated by the business.
- GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE.
- Ability to prioritize and manage multiple projects at once without sacrificing quality
- Strong listening and communications skills
- Highly collaborative work style
