Data Analyst II – Enterprise Solutions

Role Overview

The Data Analyst II – Enterprise Solutions is responsible for performing data collection, research, analysis, and presentation of findings that affect portfolio performance. This position will use complex analysis concepts to mitigate risks and identify opportunities relating to capturing and reporting data.

What You Will Do

Analyze large and complex datasets to identify trends, patterns, and business opportunities, develop reports, dashboards, and analytical models to support decision making, and quantify potential business value associated with identified opportunities.

Why It Might Be a Fit

The ideal candidate will have the ability to wrangle large datasets, demonstrated understanding and experience with technical systems, datasets, data warehouses, data analysis techniques, and data visualization, as well as strong quantitative, analytical, and data interpretation skills.

Requirements

• Ability to wrangle large datasets, structured and non-structured data, including data mining and manipulation
• Demonstrated understanding and experience with technical systems, datasets, data warehouses, data analysis techniques, and data visualization
• Knowledge of consumer auto lending / leasing portfolio preferred
• Ability to design and implement process documentation and monitoring protocols
• Strong quantitative, analytical, and data interpretation skills
• Ability to summarize complex data into digestible information for management
• Advanced skills in programming languages such as Python, SAS, R, or similar required
• Proficient in data visualization best practices and tools such as Power BI, Tableau, Databricks, SAS Visual Analytics, etc. preferred
• Ability to identify and seek needed information/research skills
• Strong written and verbal presentation skills with an ability to communicate effectively with Management by making complex concepts easy to understand
• Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
• Acute attention to detail
• Ability to interact collaboratively with internal customers and external vendors
• Capable of supporting multiple projects, including ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure, meeting deadlines
• Working effectively within an AI enabled environment

Benefits

• 401K matching
• Bonding leave for new parents (12 weeks, 100% paid)
• Tuition assistance
• Training
• GM employee auto discount
• Community service pay
• Nine company holidays

Tagged as: Data Analysis