Data Analyst II

Cox Automotive - USA

Data Intelligence & Science

Data Analyst II

Individual Contributor

Can work remote anywhere in the specified country

Yes, 5% of the time

Day

Compensation includes a base salary in the range of $67,100.00 - $. 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.

Join a team that helps drive the performance of one of the largest mobile vehicle inspection operations in the country.

The Data Analyst II supports Mobile Inspections by building and maintaining reporting, dashboards, and data analysis that help leaders understand operational performance and make informed decisions. This role partners with Operations, Quality Assurance, Dispatch, and other business teams to deliver timely reporting, analyze performance trends, and support day-to-day business needs.

The ideal candidate enjoys solving problems, working with data, and turning information into clear, easy-to-understand reporting. This position works closely with senior analytical resources and Operations leadership to support reporting, dashboard development, and analytical requests that help guide the business.

This role helps connect data to action. The reporting and dashboards developed by this position will be used by leaders across Mobile Inspections to monitor performance, identify opportunities, and support day-to-day operations. If you enjoy working with data, solving problems, and helping teams make better decisions, this is an opportunity to make a meaningful impact while growing your analytical skills.

• Perform analysis:
  Work on service, auction lifecycle of vehicle. Define business questions. Collaborate with engineering teams to identify data sources and queries. Tidy, clean and transform data. Analyze data and identify trends. Visualize data. Draw conclusions, present insights and tell compelling stories.
• Support data science:
  Help data-science and data-engineering teams perform and implement complex analyses. Select key problems to solve. Define goals. Source data. Share domain knowledge. Identify data features. Measure outcomes. Tune performance.
• Build data processes:
  Lead projects to build better data processes. Understand input data, output data and transformations required to bridge the two. Work with data suppliers. Design, build and manage processes to deliver required data. Ensure data quality. Help manage projects to build new, and to improve existing, data pipelines. Drive deliverables. Measure KPI. Report progress to leadership.
• Support product management:
  Understand opportunities and competition around service, pricing and repair data. Interview customers and stakeholders. Research new features and sources of product differentiation. Be the liaison between technology and product strategy. Define KPI. Be technology’s go-to person for questions related to Operational Data, integration with other systems.
• Information Analysis
  • Performs data analysis and validation.
  • Translates data into meaningful insights.
  • Develops reports and data visualizations to present insights in the most effective way to enable decision making.
  • Monitors and analyzes key metrics and executes recurring analyses and reporting.
  • Mines and interprets data, monitors and analyzes key metrics and interprets performance and provides insight into the data and metrics generated.
  • Handles data preparation and data analysis portions of various…