Merchandising Business Analyst in Raleigh, NC at Advance Auto Parts

Date Posted: 9/23/2019

Career Snapshot

Career Description



Job Description

Join the AAP Merchandise Analytics team and help shape the future of automotive retail.  You will be part of a world-class data science and data analytics team designed to disrupt a $150B auto parts industry.

As our Merchandising Business Analyst you will have access to the latest cloud computing technology to help solve assortment issues, be empowered to drive assortment decisions, explore data to find trends and correlations, and partner with our category management teams to build and deliver the best assortment possible to ensure we have the right parts in the right place at the right time.

Essential Duties and Responsibilities

  • Analyze, mine, and use statistical methods to identify patterns from various data points regarding our current product assortment
  • Develop reports and/or presentations leveraging data visualization tools that clearly and concisely communicate analytical findings and assortment recommendations to key stakeholders
  • Able to communicate and work cross-functionally with team members to identify existing business issues
  • Measure and optimize the effectiveness of current product assortment, deploying both established and groundbreaking techniques
  • Develop strong partnerships with business management teams and participate in weekly category meetings
  • Maintain knowledge and stay abreast of developments in the field of big data and data analytics
  • Support ad hoc analytic needs as requested

Qualifications

  • In-depth exposure to SQL.  Ability to write and produce SQL queries for difficult business problems.
  • Demonstrated analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Confidence in analytical abilities, able to present and champion optimal assortment decisions
  • Comfortable working with big data to find insights and reach conclusions
  • Basic object oriented programming concepts.  General knowledge of loops, if statements, objects, classes, etc.
  • Able to map and trace data from system to system in order to detect inaccuracies
  • Able to translate complex business processes and data into an easily understandable format

The Ideal Candidate

  • Bachelor’s Degree in Mathematics, Computer Science, Engineering or other relevant discipline
  • 3-5 Years Business Analyst Experience or related field
  • Intermediate to Advanced SQL Skills
  • Intermediate to Advanced Excel Skills
  • Proven Communication and Presentation Skills
  • Track Record of Analytics Projects
  • Basic Programming Language Skills in Python or VBA