Data Analyst at Vivo Fashion Group

Job Purpose

The Data Analyst will be responsible for analyzing and interpreting data from multiple sources to deliver insights that support strategic decisions and boost operational efficiency across the department and the broader business. Collaborating closely with cross-functional teams, this role involves regularly evaluating data to identify sales trends, improve inventory management, and enhance the customer experience. Additionally, the Data Analyst will generate routine reports and share key insights with relevant teams to support informed decision-making.

Key Responsibilities

• Ensure data accuracy through regular audits and validation.
• Create and manage databases, reporting templates, and refine reporting requirements.
• Stay updated on data analytics trends and tools.
• Generate and present routine reports, analyzing business performance and customer behavior.
• Conduct market research to assess trends and competitive positioning.
• Create dashboards and visualizations to communicate insights effectively.
• Analyze inventory metrics and provide recommendations for stock optimization.
• Use predictive analytics to optimize stock levels, pricing, and promotions.
• Collaborate with teams like marketing, merchandising, and supply chain on data initiatives.
• Participate in strategy meetings and provide staff training on reporting tools.

Key Skills

• Expertise in data manipulation and analysis tools.
• Experience with data visualization platforms like Tableau, Power BI, Looker, or similar.
• Advanced proficiency in Microsoft Excel.
• Strong critical thinking and problem-solving abilities.
• Ability to create clear, impactful data visualizations.
• Strong presentation skills for conveying data insights.
• Attention to detail and a focus on accuracy in all tasks.

Qualifications & Experience

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
• 3+ years of experience as a Data Analyst, ideally in retail or fashion.
• Skilled in managing large databases and handling complex data sets.
• Strong analytical abilities to derive actionable insights from data.
• Excellent communication skills for conveying technical concepts to non-technical audiences.