Data Analyst - Mobility

• Support the implementation of enterprise data management strategies, ensuring data from multiple systems and sources is structured, validated, and optimized for flexibility and ease of use.

• Collaborate with data management teammates to design, test, evaluate, and evolve data validation strategies and quality controls.

• Partner with Product, Engineering, and Operations teams to design robust, data-driven business processes related to outreach, measurement and attribution, and the creation of derived variables.

• Translate analytical concepts and prototypes into detailed engineering requirements to support the production implementation of data models, validation protocols, and data transformation processes.

• Assimilate data from multiple sources, analyze and deconstruct existing business logic, and support ad hoc and exploratory analyses.

• Conduct source data analysis, including reverse engineering existing data structures and logic, to inform data model development and enhancements.

• Participate in data governance processes to help prevent unapproved or misaligned changes to table schemas, dimensional models, and core data assets.

• Contribute to agile development and testing cycles by validating requirements, reviewing outputs, and ensuring solutions meet business and technical expectations.

What We’re Looking For

Basic Required Qualifications

• At least 5 years of professional experience with design and implementation of large-scale data architectures.

• Experienced in gathering data architecture requirements, gap analysis and design requirements and user acceptance testing.

• Exceptional written and verbal communication skills, including experience partnering with Product and Engineering teams to successfully deploy solutions.

• A continuous learner familiar with industry trends within the modern data stack and an ability to apply them to problems we face.

• Must be able to demonstrate a strong understanding of data modeling for conceptual, logical and physical modeling using relational and dimensional techniques to support application, analytic and data science use cases.

• Strong working knowledge of database technologies and data model best practices in GCP.

• BigQuery and Postgress/CloudSQL design experience preferred.

About S&P Global Mobility

At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow.

For more information, visit www.spglobal.com/mobility.

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.