Senior Data Analyst

Company Description Cannon Motors of Mississippi operates 22 locations across Mississippi and Blytheville, Arkansas, providing comprehensive auto sales and service solutions. The organization emphasizes an outstanding customer experience, supported by modern facilities equipped with the latest automotive and customer-service technologies. Team members work within an inviting atmosphere and benefit from collaboration with colleagues who have extensive industry backgrounds. Regular promotions and a strong focus on service quality create a dynamic environment where employees contribute directly to a positive and distinctive customer experience. Cannon Motors values team members who are committed to serving the needs of drivers and vehicle owners in the communities it serves.
Role Description The Senior Data Analyst is a full-time, remote role responsible for transforming complex data into clear insights that support strategic and operational decisions across Cannon Motors of Mississippi. On a day-to-day basis, this role gathers, cleans, and validates data from multiple business systems, including sales, service, marketing, and customer experience platforms. The Senior Data Analyst designs and maintains dashboards, reports, and visualizations that help leadership understand trends in performance, customer behavior, inventory, and profitability. Additional responsibilities include building and refining data models, performing statistical analyses, identifying opportunities for process improvement, and presenting findings to stakeholders in an accessible, actionable way. This role collaborates closely with cross-functional teams, provides recommendations based on analytical outcomes, and contributes to the development of data-driven strategies that enhance operational efficiency and customer satisfaction.
Qualifications
Strong analytical skills with the ability to interpret complex datasets, identify trends, and generate actionable insights.
Proficiency in data analytics, including experience with data visualization tools (e.g., Tableau, Power BI) and querying languages (e.g., SQL).
Solid foundation in statistics, including hypothesis testing, regression analysis, and basic predictive modeling.
Experience with data modeling and building scalable data structures to support reporting and analytical needs.
Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders and prepare clear reports and presentations.
Experience working with business intelligence tools and spreadsheet applications (e.g., Excel) in a commercial or operational setting.
Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, Computer Science, or a related field; advanced degree is a plus.
Prior experience in a senior or lead analyst role, preferably in automotive, retail, or a multi-location service environment.
Demonstrated ability to work independently in a remote setting, manage multiple priorities, and meet deadlines.
Familiarity with CRM or ERP systems and an understanding of sales, service, and operations metrics is beneficial.

Work arrangement
Yes