Service Center Senior Analyst

Company Cox Automotive - USA Job Family Group People Solutions Job Profile Service Center Sr Analyst Management Level Individual Contributor Flexible Work Option Hybrid
- Ability to work remotely part of the week Travel % Yes, 5% of the time Work Shift Day Compensation Compensation includes a base salary in the range of $74,000.00 - $. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities.

Position may be eligible for additional compensation that may include an incentive program.

Cox Automotive is currently seeking a Service Center Senior Analyst to join our team. Atlanta, GA is the preferred location; however, qualified candidates in Orlando, FL will also be considered.

The Service Center Senior Analyst owns operational and performance reporting, data governance, and automation enablement across the Employee Service Center (ESC) - including payroll operational reporting alongside case management, workforce administration, and other ESC functional areas. This role transforms raw case, service, payroll, and operational data into decision-ready insight for People Solutions leadership, while identifying and packaging opportunities for AI-enabled deflection and process automation.

The Senior Analyst partners across ESC functional teams and cross-functional stakeholders (Payroll, HR, Compliance, IT, and Automation/AI teams) to modernize legacy manual reporting into scalable, automated workflows, and serves as the primary data point of contact for ad hoc leadership, audit, and compliance requests.

Develop, maintain, and analyze payroll operational dashboards, metrics, and reports using Workday, UKG, Excel, and other tools to support data-driven decision-making. Monitor payroll performance indicators, service levels, and compliance metrics, deliver actionable insights and recommendations to leadership. Serve as a subject matter expert for payroll reporting and analytics, ensuring data accuracy, integrity, and timely delivery of recurring and ad hoc reports.

Analyze payroll trends, recurring issues, and case data to identify root causes and recommend sustainable solutions.

Own and maintain operational reporting across ESC functional areas (payroll, case management, workforce administration, leaves, and other People Solutions capability areas), including migrating legacy manual processes to automated workflows. Build and manage recurring operational dashboards (e.g., case volume, SLA, deflection rate, first-contact resolution) within Service Now, alongside payroll-specific reporting. Conduct trend analysis on ESC and payroll data to surface process failures, training gaps, and automation opportunities.

Deliver monthly reporting packages spanning payroll and broader ESC operations, pairing data with clear narrative and recommendations - not raw output alone.

ESC Service Now data structure governance (e.g., Sub-Category, Assignment Group, HR Services) and participate in Service Now UAT. Serve as the data point of contact for ad hoc leadership requests and audit/compliance reporting needs across cross-functional teams.

Monitor cross-functional trends to flag repetitive, high-volume, or rule-based work suitable for AI deflection or automation, and package findings for leadership review. Support measurement of AI/automation initiative performance (e.g., Copilot Agent adoption, AI deflection rate, case summarization accuracy) using Service Now and other data sources. Maintain a pipeline of AI/automation candidate processes surfaced from ESC teams and case data anomalies, sized by volume and effort.

Translate initiative outputs into tailored insights for varying audiences - from front-line ESC teams to People Solutions leadership.

Bachelor's Degree in a related field and 4 years' experience in analytics, data analysis, or a related discipline within a fast-paced, data-driven environment. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 8 years' experience in a related field. Ability to build and leverage relationships with internal customers and cross-functional partners to drive collaboration, improve user experience, and deliver business outcomes.

Experience utilizing ETL tools such as Alteryx or Informatica and data visualization tools such as Tableau or Power BI. Working knowledge of generative AI tools and prompt engineering concepts, with the ability to identify opportunities to improve reporting, automation, and decision support. Demonstrated commitment to continuous learning and adoption of new technologies. Strong understanding and practice of confidentiality, data privacy,…