Data Analyst Full Time

• 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.
• Reporting & Visualization:
  • 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.
• 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.
• 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.
• 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:

• 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.
• 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.
• 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.
• Education:
  • Bachelor’s degree in data science, Statistics, Mathematics, Economics, Computer Science, or a related field.

Preferred Qualifications:

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