Data Analyst

Jobs Description:
Analyze performance metrics (sales, revenue, inventory, etc) to identify trends, patterns, and areas for improvement.
Analyze customer behavior data to understand customer preferences.
Clean, explore, and visualize data using Excel or similar tools to generate insightful reports.
Create data-driven recommendations to enhance business KPIs.
Identify growth opportunity to acquire new customers and boost sales.
Stay updated on the latest growth marketing trends and technologies and adapt them to our business.
Collaborate effectively with cross-functional teams (marketing, operations, sales, etc) to translate data insights into actionable strategies.
Develop compelling data presentations and reports using data visualization tools (PowerPoint, Google Slides, Etc).
Communicate data insights and findings with Director in a clear, concise, and actionable manner. Requirements:
Bachelor’s degree in Marketing, Data Science, Statistics, or a related field.
Minimum 2 years of experience in a data analyst or growth hacking role, preferably within the fashion retail industry.
Strong analytical skills and the ability to translate data into actionable insights.
Proficiency in data cleaning, manipulation, and visualization using Excel, Power BI, or similar tools.
Excellent written and verbal communication skills, with the ability to present complex data in a clear and compelling manner.
Experience with SQL and Python scripting is a plus.
Strong understanding of the fashion retail industry and its key performance indicators (KPIs).
Proven ability to work independently and as part of a team in a fast-paced environment.