Merchandising analysts are internal consultants for the merchandising department.  They provide the data for the line review process. They track business results and team objectives.  They monitor all of the team categories making sure objectives are met.   They provide a statistical and financial foundation for merchandising decisions.  They are responsible to devevelop business process, team reporting.  Sr. Analyst is viewed as an expert for understanding and application of AutoZone data.  Must advise and mentor merch analysts.  Must be the team resource for market segmentation, positioning, and customer target data.
 

Responsibilities

• (Business Analysis) Provides structure and numerical foundations to the Line Review process, manages to transcend the data to reveal business intelligence.

• (Data Procesing) Identifies with assertiveness the business drivers, manages timely decision making. Developed sense of business and understanding of our clients (internal / external).

• (Solutions Development) Proposes, designs and develops processes, models and business solutions that promote a culture of innovation, productivity and efficiency.

• (Support) Ensures and empowers the correct functioning of the technological platform to support the operation of information tools (Reporting, Applications, data integration) ensuring the optimal functioning of them.

• (Coaching) Coaching, develops and give support from Analysts Merch team to enhance technical skills and understanding of the group's business, protagonist of teamwork.

Qualifications

• A Bachelor's degree (BA, BS) or equivalent.

• Business Administrations, Statistics, Engineering or comparable field.

• Five to seven years.

• Three to five years in an analytical role with sufficient experience in other areas to demonstrate a thorough understanding of retailing, key areas may include Business Administration, Statistics, Engineering, Programming business applications. 

• Should meet all of the requirements for Merchandising Analyst.  Also this position requires the person to be proactive and have demonstrated leadership ability.  Must have a product manager's level of understanding of the 4 P's of retailing. Demonstrate advanced data step/macro programming in SAS, ability to perform advanced statistical analysis including regression, correlation and cross-tabs, be team's resource for financial reporting and understanding of EVA, P&L, Balance Sheets.  Must be able to write advanced SQL queries such as may include left joins, having, and exists conditions. English required.

• Graduate degree/MBA preferred.