Mobility

Industry Data Analyst, Automotive Pricing Solutions

United States · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerMobility
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Why Mobility Global?

At Mobility Global, our mission is to provide the trusted information that helps billions of people build, sell, and own vehicles with confidence. As we shape the next generation of automotive intelligence through innovation, AI, and industry-leading data, we're creating new opportunities for our customers, our business, and our people.

Join a team singularly focused on transforming the automotive industry. S&P Global Mobility is Mobility Global — the company behind CARFAX, automotiveMastermind, Market Scan, and Polk Automotive Solutions. Our strength comes from our people, and here, the progress you make helps the entire automotive ecosystem move faster and with greater confidence.

What you will do:

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.

Show full description

Example outcomes of these efforts may include…

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

Who you are:

You possess 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.

You possess a 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.…)

You have strong written and verbal communication skills that effectively engage both technology teams and non-technical stakeholders

You are able to write and interpret complex SQL queries and are skillful at analyzing large data sets.

You have strong knowledge of Excel and have experience using visualization software packages such as Tableau or PowerBI.

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

You demonstrate strong analytical and problem-solving skills and are adept at not just answering the “what”, but, more importantly, the “why”

You are a team player who is comfortable working with a globally distributed team across time zones

You are curious and thrive when presented with learning opportunities

U.S.: "This position is open to applicants who are currently authorized to work in the United States and will not require employer sponsorship now or in the future."

Compensation for this position will be determined based on factors including geographic location, local market conditions, skills, qualifications, experience, and internal equity. Mobility Global is committed to providing competitive and equitable compensation aligned with local market practices.

Mobility Global is committed to providing competitive compensation that reflects local market conditions and individual contributions. In addition to base salary, employees may be eligible for incentive compensation, long-term incentives, and a comprehensive benefits package, where applicable.

What’s In It for You

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.

For more information on benefits, please check out our benefits-summary.

Equal Opportunity Employer

Mobility Global is proud to be an Equal Opportunity Employer. We value diverse perspectives and are committed to fostering an inclusive workplace where everyone is respected, supported, and empowered to succeed. We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities.

Recruitment Fraud Alert

Mobility Global will never ask candidates to pay money at any stage of the hiring process, including for applications, interviews, background checks, training, or equipment. If you receive a suspicious communication or request for payment or personal financial information, please exercise caution and report it immediately.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is the policy of Mobility to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Mobility will provide reasonable accommodations for qualified individuals with disabilities.

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

Data analyst jobs in United States

ROLIVA currently lists 192 open roles like this in United States.

Employers hiring for this

  • Capital One Financial27 open roles
  • Guidehouse15 open roles
  • RELX8 open roles
  • Vanguard8 open roles
  • U.S. Bank6 open roles

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python Excel Tableau

Explore similar roles

Similar jobs

Bureau

Product Analyst Intern

Bangalore, Karnataka, India

Work style not statedFullTime

CUBE

Senior Data Analyst

Bangalore, Karnataka, India

Work style not statedFullTime

CUBE

Data Analyst

London, United Kingdom

HybridFullTime