Cox Automotive is looking to scale its reporting capabilities and enhance consultative strategies to drive client success for its rental clients within the converged retail/wholesale solution. The Senior Business Intelligence Analyst will be instrumental in delivering high-impact insights through advanced data wrangling and visualization to support strategic decision-making and identify operational improvements.
Requirements
- Demonstrated expertise in SQL or Python for data querying and manipulation, Tableau or Power BI for data visualization and dashboard creation, and Excel/Powerpoint for advanced data modeling and reporting.
- Skilled in data wrangling techniques to clean, transform, and prepare datasets for analysis and reporting.
- Experience conducting quantitative and qualitative analysis to support business performance reviews, marketplace assessments, and competitive benchmarking.
- Proven ability to design and implement scalable reporting solutions that serve cross-functional teams and leadership.
- Ability to synthesize complex datasets into clear, actionable insights.
- Experience supporting consultative strategies that align with client goals and business objectives.
Responsibilities
- Build foundational knowledge of core Business Intelligence concepts, methodologies, and best practices.
- Collect, integrate, and analyze data from internal and external sources to produce actionable insights for the Client Insights team.
- Design, standardize, and distribute datasets and reports to relevant stakeholders across the organization.
- Perform quantitative analysis on business performance indicators—including revenue trends, marketplace dynamics, and competitive benchmarks—and provide consultative interpretation to support decision-making.
- Support the development and optimization of data pipelines, workflows, and queries to enhance analytical capabilities.
- Oversee data flow processes to ensure accuracy, efficiency, and accessibility across platforms.
- Uphold data governance standards by ensuring all analytical activities comply with established protocols and quality controls.
Other
- Flexible Work Option: Hybrid - Ability to work remotely part of the week
- Travel %: Yes, 5% of the time
- Bachelor’s degree in Business, Economics, Engineering, Data Science, or another related field with 4+ years of experience focused on pricing optimization, data analysis, and client management. A candidate may also have a Master’s Degree with 2+ years of experience or a Ph.D. with 1+ year of experience. A non-degreed candidate will have 8+ years of relevant experience in client-facing roles, pricing optimization, or a similar field.
- Strong interpersonal skills with the ability to communicate technical findings to non-technical stakeholders.
- Excellent problem-solving capabilities with a proactive approach to identifying gaps and opportunities.
