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Sr Programmer Analyst

AutoZone Business and Technology Store Support Center

Chihuahua

Presencial

MXN 650,000 - 850,000

Jornada completa

Hace 6 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A retail support center in Chihuahua is seeking a candidate skilled in data analysis for merchandising strategies. Responsible for analyzing insights, managing projects, and collaborating with diverse teams, the ideal applicant should have a degree in a related field and experience in analytics. Strong skills in SQL and Excel are essential for success in this role, which offers diverse project opportunities.

Formación

  • 5-7 years of experience in analytics or category management.
  • Strong technical skills, particularly in SQL and Excel.
  • Effective communication tailored to various audiences.

Responsabilidades

  • Analyze and report data insights to drive improvement.
  • Build effective relationships to influence stakeholders.
  • Manage multiple projects with competing priorities.

Conocimientos

Data analysis
Stakeholder management
Problem solving
Communication
Project management
Technical skills in SQL
Proficiency in Excel
Python
R/RStudio

Educación

Bachelor’s degree in a relevant field

Herramientas

SQL
Excel
Python
SAS
JMP
Google Analytics
Descripción del empleo
Overview

Summary: Partners with various areas within the Company, vendors, suppliers, contractors, and cross functional project teams to drive results through enhanced merchandising analysis and insights.

Excellent verbal and written communication skills and the ability to interact professionally with a diverse group - executives, directors, managers, and subject matter experts within and outside of the department. A successful candidate should be a self-starter, intellectually curious, exhibit attention to detail, and the ability to set and meet deadlines as well as provide insight, direction, and appropriate feedback.

They provide the data for the line review process and act as category management advisors. In addition to tracking promotions, contests, tests, and team objectives, they monitor team categories to ensure objectives are met. Provide a statistical and financial foundation for merchandising decisions and consult other departments on merchandising practices and tactics.

Responsibilities
  • Analyze and report data insights, identifying issues, trends, or exceptions to drive improvement of results and find solutions
  • Ability to build effective working relationships, partner, and influence stakeholders within and outside the Merchandising team to achieve results
  • Ability to manage, prioritize, organize, and meet deadlines for multiple projects simultaneously with varying completion dates and competing priorities
  • Develops understanding of department KPIs and targeted merchandising strategies that will drive store results
  • Ability to work in a challenging environment relying on problem solving skills
  • Works on variable-sized projects and may lead some project work streams, as necessary
  • Ability to identify problems and ensure prioritization and escalation is appropriate
  • Identifies opportunities and makes appropriate recommendations to improve processes and/or operating efficiencies. May perform as customer advocate
  • Partner with Planning and Forecasting to determine optimal assortment strategies (depth, breadth, seasonal vs. core assortment etc.)
Qualifications
  • Bachelor’s degree in a relevant field of study or equivalent professional experience in development, analytics, consumer research, inventory, category management and/or business analysis
  • 5-7 years of experience in development, analytics, consumer research, inventory, category management and/or business analysis
  • Strong technical skills, particularly in SQL and Excel
  • Python, R/RStudio, SAS, JMP, VBA, Google Analytics, Microsoft Office Suite (PowerPoint, Outlook)
  • Communicates effectively and tailors communications appropriately to different audiences
  • Effectively define/frame problems, identify data sources, process large amounts of data efficiently, translate complex findings by creating reports and managing the communication of insights in a consumable format that drives action and results.
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