Industry Data Analyst, Automotive Pricing Solutions”

Mobility Global • Virtual, MI

13d

About The Position

Industry Data Analysis is critical to Mobility Global’s core value proposition – the ability to deliver relevant data sets and tools to support our clients’ operational business decisions. The Pricing Solution industry data analytics team is responsible for maintaining and enhancing existing data sets, creating and curating new data assets, and partnering with the broader Mobility Global team to create data-driven solutions for a wide range of additional business problems and industry solutions.

Requirements

• 5+ years of professional experience with automotive point-of-sale data or in an OEM sales operations or retail planning role as a data analyst or similar analytical + technical role, ideally interfacing with data derived from Dealer Management System data.
• Bachelor of Science in a quantitative discipline (e.g., data analytics or science, economics, statistics, finance, operations research, computer science, mathematics, physics, electrical/mechanical/industrial engineering, etc.)
• Strong written and verbal communication skills that effectively engage both technology teams and non-technical stakeholders
• Able to write and interpret complex SQL queries and are skillful at analyzing large data sets.
• Strong knowledge of Excel and have experience using visualization software packages such as Tableau or PowerBI.
• Demonstrate strong analytical and problem-solving skills and are adept at not just answering the “what”, but, more importantly, the “why”
• Team player who is comfortable working with a globally distributed team across time zones
• Curious and thrive when presented with learning opportunities
• Currently authorized to work in the United States and will not require employer sponsorship now or in the future.

Nice To Haves

• Proficiency with analytical programming languages such as Python or R a plus

Responsibilities

• Partnering with product, operations, engineering, and commercial teams to identify client decision support needs and translate to required data capabilities for challenging business problems
• Exploring new data assets, tools, and techniques to strengthen existing products, enable new product development, and support enhanced scientific predictions
• Developing data capability requirements and business logic
• Creating new or derived metrics to capture data relationships and deliver solutions that lead to insights and decision support
• Developing proactive, scalable, and extensible analytical frameworks to enable quality assurance within production processes and post-production
• Communicating data-driven insights and recommendations to non-technical stakeholders

Benefits

• Competitive compensation package, including base salary and incentive opportunities where applicable.
• Comprehensive health and wellness benefits for employees and eligible dependents.
• Retirement savings programs, including company matching contributions where available.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level