Senior Data Analyst - Automotive Data & Insights

Mobility Global Inc.; New York (NY); Hybrid; USD 115,000 - 125,000; Full time

Benefits offered by this job

Health benefits

Retirement plan with company match

Incentive opportunities

Job summary

Mobility Global Inc. is seeking a Senior Data Analyst to power its data-driven automotive platform. You will become a subject matter expert in vehicle sales, service data, incentives, and ownership cycles, ensuring data quality and delivering actionable insights to dealer partners.

You will query large datasets with SQL and Excel, troubleshoot complex data issues, and collaborate with vendors, product, engineering, and customer success teams to drive long-term improvements.

Qualifications

• 5+ years of professional experience in data analysis, data operations, business operations, customer support, or a related field.
• Direct experience working within the automotive retail industry, automotive technology sector, dealership operations, OEM programs, or automotive data environments.
• Intermediate to advanced Microsoft Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, and data analysis functions.

Responsibilities

• Become a trusted expert in automotive retail data, including vehicle sales, service transactions, incentive programs, customer ownership cycles, and dealership operations.
• Monitor, analyze, and troubleshoot data quality issues across ingestion, transformation, and delivery pipelines.
• Investigate and resolve data-related issues under time-sensitive conditions with clear communication to technical and non-technical stakeholders.

Skills

SQL

Excel

Data analysis

Communication

Problem solving

Attention to detail

Ownership

Tools

Salesforce

Job description

Mobility Global Inc. is seeking a Senior Data Analyst to power its data-driven automotive platform. You will become a subject matter expert in vehicle sales, service data, incentives, and ownership cycles, ensuring data quality and delivering actionable insights to dealer partners.

You will query large datasets with SQL and Excel, troubleshoot complex data issues, and collaborate with vendors, product, engineering, and customer success teams to drive long-term improvements.