Data Analyst

Job Title: Data Analyst
Location: Dubai, UAE
Company: Apparel Group

Job Purpose:

As a Data Analyst at Apparel Group, you will be responsible for gathering, analyzing, and interpreting data to support business decisions. You will work closely with cross-functional teams, transforming raw data into valuable insights that drive efficiency, optimize sales, and enhance customer experiences. Your work will contribute directly to the company’s ability to make data-driven decisions across merchandising, supply chain, marketing, and other core business functions.

Key Responsibilities:

1. Data Collection & Analysis:
   Collect, clean, and analyze large datasets from multiple internal systems (e.g., POS, ERP, CRM, e-commerce platforms) to identify trends, patterns, and correlations.
   Perform detailed analyses to support various departments including sales, marketing, and operations, ensuring data accuracy and actionable insights.
   Analyze customer behavior data to identify opportunities for personalized marketing strategies and customer experience improvements.
   Develop and maintain dashboards and reports using tools like Power BI, Tableau, or similar BI platforms to visualize key performance indicators (KPIs) and other business metrics.
   Provide daily, weekly, and monthly reports to key stakeholders, ensuring insights are presented in a clear, concise, and actionable manner.
   Generate ad-hoc reports to address specific business questions or challenges.
2. Business Insights & Strategy:
   Identify areas for improvement across business functions, such as inventory management, product pricing, and marketing effectiveness, and provide data-backed recommendations.
   Use data to support decision-making on key business initiatives such as product launches, promotional strategies, and regional expansion.
   Work closely with merchandising, marketing, and operations teams to define data needs and support their analytics requirements.
3. Data Quality & Integrity:
   Ensure high levels of data accuracy and consistency by regularly auditing datasets and resolving discrepancies.
   Work with IT and engineering teams to improve data collection processes, ensuring the smooth flow of data across business systems.
4. Cross-functional Collaboration:
   Collaborate with teams such as e-commerce, marketing, and product management to understand their analytical needs and deliver relevant data insights.
   Act as a key point of contact for stakeholders requiring support on data-related issues and ensure effective communication between technical and non-technical teams.

Key Requirements:

1. Experience:
   2+ years of experience as a Data Analyst, preferably within the retail, e-commerce, or consumer goods industries.
   Strong experience in data collection, analysis, and reporting, with a proven ability to turn data into actionable insights.
2. Skills:
   Proficiency in data analysis tools such as Excel, SQL, and Python or R for data manipulation.
   Hands-on experience with data visualization tools such as Power BI, Tableau, or Looker.
   Strong analytical and critical thinking skills with the ability to derive meaningful insights from large datasets.
   Knowledge of statistical analysis and experience with A/B testing.
3. General:
   Excellent communication and presentation skills, with the ability to explain data-driven insights to both technical and non-technical audiences.
   Experience working with cross-functional teams in a fast-paced environment.
   Ability to manage multiple projects and meet deadlines in a dynamic business setting.
4. Education:
   Bachelor’s degree in data science, Statistics, Mathematics, Economics, Computer Science, or a related field.

Preferred Qualifications:

1. Experience in retail or fashion industry analytics is a plus.
2. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and experience with data warehousing systems (e.g., Redshift, Snowflake).
3. Experience with predictive analytics and machine learning models is advantageous but not required.