ESPECIALISTA SR. ANALISIS DE MERCADERIAS

AutoZone; Monterrey; On-site; MXN 280,000 - 420,000; Full time

Job summary

AutoZone Monterrey is seeking Merchandising Analysts to act as internal consultants for the merchandising department, delivering data for line reviews and tracking business results.

They monitor categories, develop reporting processes, mentor analysts, and support market segmentation, positioning and customer target data.

Requires a Bachelor's degree and 3–5 years in an analytical role with retail analytics experience.

Qualifications

• Bachelor's degree required or equivalent.
• Three to five years of experience in an analytical role.
• Experience in retail analytics or related fields preferred.

Responsibilities

• Provides structure and numerical foundations to the Line Review process, manages to transcend the data to reveal business intelligence.
• Identifies business drivers and supports timely decision-making with an understanding of client needs.
• Designs andDevelops processes, models and business solutions that promote innovation, productivity and efficiency.
• Ensures the correct functioning of the data/IT platform to support reporting and data integration.
• Coaches and mentors Analysts Merch team to enhance technical skills and understanding of the business.

Education

Bachelor's degree (BA/BS) or equivalent

Area of Study: Business Administration, Statistics, Engineering

BA in Actuarial Science

Job description

PositionSummary

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

PositionSummary

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

PositionResponsibilities

(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 decisionmaking. Developed sense of business and understanding of our clients (internal/ external).
(Solutions Development)Proposes, designs and develops processes, models and business solutions thatpromote a culture of innovation, productivity and efficiency.
(Support) Ensures andempowers the correct functioning of the technological platform to support theoperation 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 skillsand understanding of the group's business, protagonist of teamwork.

Position Requirements

• Level of Formal Education: A Bachelor's degree (BA, BS) or equivalent.
• Area of Study: Business Administrations, Statistics, Engineering or comparable field.Management, BA in Actuarial Science
• Years of Experience: Three to five years.
• Type of Experience: 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.