Data Analyst in MEXICO

Hybrid Workplace Model at Chihuahua, Chihuahua, México (3 Days at Office, 2 Days HO) - Relocation Bonus

SUMMARY

The Data Analyst will be part of a team that employs data to develop and present stories to drive Marketing and business strategies for AutoZone.

This individual will work with and support the Marketing Manager to influence business decisions by developing the appropriate quantitative approaches, applying statistical measures and analyses, and presenting findings and recommendations to multiple internal groups at AutoZone, including senior leadership.

RESPONSIBILITIES:

• Perform expert data analysis that leads to decisions on optimizing marketing programs such as Loyalty, Media, and Promotions, as well as understanding how customers buy product categories from AutoZone.
• Prepare and present actionable insights to leadership and business teams, address critical questions, and drive channel sales, customer retention, and acquisition strategies.
• Propose KPI metrics to track and understand retail, Loyalty, and CRM business trends.
• Create and automate weekly, period, and quarterly reporting to understand the performances of different KPI metrics across different marketing channels.
• Assist with forecasting sales for AutoZone Retail business, allocating and optimizing media spend and targeting customers effectively using statistical methodologies.
• Assist in the design and implementation of data transfers between AutoZone and third parties to develop a comprehensive view of marketing performance.

REQUIREMENTS:

• Level of formal education: BA/BS degree in Business Analytics, Mathematics, Computer Science, Statistics, Data Science, or related analytical degree.
• professional experience in analytics, pricing, insights, consumer research, inventory, category management, and/or business analysis.
• Years of experience: 3+ SQL employment experience
• Type of experience: Proficiency in query language (SQL or equivalent), statistical software (SAS, R or equivalent), and data visualization tools (Tableau). Experience with databases (RDBMS) and exposure to big data. Fluency in and understanding of AI platforms and AI techniques. Expertise in the use of MS Excel and PowerPoint.