Data Analyst Staff
About this position
We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will possess strong analytical skills and technical expertise in data tools such as Power BI, SQL, Google Sheets, Looker Studio, and Python. This role is crucial for helping the company make data-driven decisions by interpreting data trends, providing insights, and optimizing business processes.
Responsibilities
• Gather and clean data from various retail sources, including sales reports, inventory systems, and customer databases.
• Analyze sales data to identify trends and product performance for create improvement and new insight
• Develop interactive dashboards and reports using Power BI and Looker Studio to visualize key retail metrics and communicate findings to stakeholders.
• Write and optimize SQL queries to extract and manipulate data from retail databases for analysis.
• Utilize Python and Google Sheets to automate data processes, enhancing the efficiency of reporting and data management.
• Work closely with Area Supervisor, Branch Manager and Operations Teams to provide data-driven insights that support business strategies.
• Analyze inventory data to optimize stock levels, reduce excess inventory, and improve turnover rates.
• Stay updated on retail analytics trends and recommend improvements to enhance data processes and reporting.
Requirements
• Bachelor’s degree in Data Science, Statistics, Mathematics, Business Analytics, or a related field.
• 3+ years of experience as a data analyst, preferably in the retail industry, with a focus on footwear or consumer goods.
• Proficiency in operating Data Analyst Applications such as Microsoft Excel, Google Sheet, Power BI/Looker Studio/SQL/Phyton, Flowchart Maker Application.
• Experience with Accurate is a plus
• Excellent analytical skills, check trend data, check sales data and check transaction data.
• Strong communication skills, able to convey complex data insights to non-technical stakeholders.
• Ability to work independently and manage multiple projects in a fast-paced retail environment.