Retail Analyst

Published February 1st, 2024

Key Responsibilities:

  • Collaborate with marketing, category management, and finance teams to align strategies and goals.
  • Work closely with IT teams to implement and improve systems supporting retail operations.
  •  Provide support for the integration of new technologies and systems.
  • Analyze sales, loyalty data, and customer behavior to identify trends and opportunities for growth.
  • Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
  • Work with management to prioritize and translate business and information needs into business and technical requirements.
  • Conduct market analysis to understand competitors and industry trends.
  • Collaborate with cross-functional teams to improve operational processes and customer experience.
  • Prepare reports for senior management explaining trends, patterns, and predictions using relevant data.
  • Assist in budgeting and forecasting, providing financial insights and risk assessment.
  • Evaluate business procedures and recommend changes to improve operational efficiency and cost-effectiveness.
  • Analyze store performance metrics and provide insights for improvement.
  • Collaborate with store operations to implement operational best practices.


  • Bachelor’s degree in business, Economics, Statistics, or a related field.
  • Proven working experience as a business analyst or data analyst.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication and collaboration skills.
  • Familiarity with retail operations and industry trends
  • Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
  • Knowledge of and experience with reporting packages (Business Objects, etc.), databases (SQL, etc.), and programming (XML, Javascript, or ETL frameworks).
  • Proficiency in statistical packages for analyzing datasets (Excel, SPSS, SAS, etc).
  • Adept at queries, report writing, and presenting findings.
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