Senior Data Analyst

Mobility Global • New York City, NY

1d • Hybrid

About The Position

The Data Operations team powers automotiveMastermind’s data-driven products and customer experiences by ingesting, validating, and transforming data from automotive sources such as Dealer Management Systems (DMS), OEM incentive programs, vehicle sales and service records, customer ownership data, and third-party datasets. The Senior Data Analyst will become a subject matter expert in automotive retail data and dealership operations, understanding how sales, service activity, incentives, inventory, and customer lifecycle data flow through the platform and support predictive analytics and targeted marketing solutions.

This role combines analytical problem-solving, data quality management, and automotive business expertise. The analyst works with vendors, engineering, product, customer success, and dealer-facing teams to ensure the accuracy, integrity, and business value of automotive datasets. The work directly affects product effectiveness and outcomes for dealer partners and consumers.

This is a hybrid role, with in-office expectations determined by location and subject to change based on business needs. Applicants must be currently authorized to work in the United States and must not require employer sponsorship now or in the future. The anticipated annual base salary range is $115,000 to $125,000; actual compensation depends on factors including location, experience, skills, qualifications, and internal equity.

Requirements

• 5+ years of professional experience in data analysis, data operations, business operations, customer support, or a related field.
• Direct experience in automotive retail, automotive technology, dealership operations, OEM programs, or automotive data environments.
• Working knowledge of dealership operations, including vehicle sales, service, incentives, customer retention, or ownership lifecycle processes.
• Strong written and verbal communication skills with technical and non-technical audiences.
• Intermediate to advanced Microsoft Excel skills, including Pivot Tables, XLOOKUP/VLOOKUP, and data analysis functions.
• Intermediate SQL proficiency and experience querying large datasets.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to operate effectively in ambiguous situations and make sound decisions under pressure.
• Experience managing multiple priorities while balancing short-term issue resolution and longer-term improvements.

Nice To Haves

• Experience working with Dealer Management System (DMS) data or automotive retail technology platforms.
• Experience with OEM incentive programs, vehicle sales reporting, service operations data, or customer retention analytics.
• Experience with Salesforce or other CRM platforms.
• Experience with customer support or ticket management systems.
• Familiarity with data quality, data governance, or data operations best practices.
• Experience supporting production data environments.

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, communicating clearly with technical and non-technical stakeholders.
• Develop an understanding of the company’s data ecosystem, including data extraction, ingestion, transformation, enrichment, and quality control.
• Partner with vendors, product teams, and engineering teams to identify root causes and drive long-term solutions.
• Resolve customer and internal support requests, distinguishing data quality issues from system-related issues.
• Query and analyze large datasets using SQL, Excel, and other analytical tools to validate data quality and uncover actionable insights.
• Assess the impact and scope of data issues and support mitigation efforts with urgency and precision.
• Contribute to continuous improvement initiatives that enhance operational efficiency, data quality, and customer outcomes.
• Independently lead projects that support company goals and improve value delivered to dealer partners.
• Evaluate performance, seek feedback, and identify opportunities to improve processes and outcomes.

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: Senior
• Education Level: No Education Listed