Collect clean and analyze large datasets from e-commerce platforms CRM systems POS terminals and market research tools.
Develop and maintain dashboards using tools such as Tableau Power BI or Google Data Studio to visualize key performance metrics.
Conduct deep-dive analyses on customer segmentation purchase behavior and product performance to inform merchandising and marketing strategies.
Collaborate with marketing product and supply chain teams to provide data-backed recommendations for campaign optimization and inventory planning.
Monitor KPIs related to sales conversion rates customer retention and campaign ROI delivering regular reports and insights.
Identify trends and anomalies in data to support proactive decision-making and risk mitigation.
Automate routine reporting processes to improve efficiency and accuracy.
Stay updated on emerging data analytics trends and tools relevant to the fashion and retail industry.
Requirements
Bachelors degree in Statistics Mathematics Computer Science Business Analytics or a related field.
25 years of experience in data analysis preferably within the fashion retail or e-commerce sector.
Proficiency in SQL for data extraction and manipulation; experience with Python or R is a plus.
Strong expertise in data visualization tools such as Tableau Power BI or Google Data Studio.
Familiarity with Google Analytics Adobe Analytics or similar web analytics platforms.
Solid understanding of statistical methods and A/B testing principles.
Excellent problem-solving skills and the ability to translate complex data into clear business-friendly insights.
Strong communication skills to present findings to non-technical stakeholders.
Experience working in agile environments with cross-functional teams.
Willingness to work in a fast-paced deadline-driven setting with a high degree of autonomy.
Required Skills:
IDEAL PROFILE: The Fashionista: 35 years of experience specifically handling fashion beauty or lifestyle accounts in a creative agency. Portfolio Depth: A book that shows you can write everything from a witty one-liner for a meme to a soulful brand manifesto. Storytelling Instinct: Ability to take a product (like a pair of jeans) and build a 10-part content series around the feeling of wearing them. Platform Native: Deep understanding of how copy performs differently on LinkedIn vs. Instagram vs. Twitter/X.
Collect clean and analyze large datasets from e-commerce platforms CRM systems POS terminals and market research tools.Develop and maintain dashboards using tools such as Tableau Power BI or Google Data Studio to visualize key performance metrics.Conduct deep-dive analyses on customer segmentation p...
Collect clean and analyze large datasets from e-commerce platforms CRM systems POS terminals and market research tools.
Develop and maintain dashboards using tools such as Tableau Power BI or Google Data Studio to visualize key performance metrics.
Conduct deep-dive analyses on customer segmentation purchase behavior and product performance to inform merchandising and marketing strategies.
Collaborate with marketing product and supply chain teams to provide data-backed recommendations for campaign optimization and inventory planning.
Monitor KPIs related to sales conversion rates customer retention and campaign ROI delivering regular reports and insights.
Identify trends and anomalies in data to support proactive decision-making and risk mitigation.
Automate routine reporting processes to improve efficiency and accuracy.
Stay updated on emerging data analytics trends and tools relevant to the fashion and retail industry.
Requirements
Bachelors degree in Statistics Mathematics Computer Science Business Analytics or a related field.
25 years of experience in data analysis preferably within the fashion retail or e-commerce sector.
Proficiency in SQL for data extraction and manipulation; experience with Python or R is a plus.
Strong expertise in data visualization tools such as Tableau Power BI or Google Data Studio.
Familiarity with Google Analytics Adobe Analytics or similar web analytics platforms.
Solid understanding of statistical methods and A/B testing principles.
Excellent problem-solving skills and the ability to translate complex data into clear business-friendly insights.
Strong communication skills to present findings to non-technical stakeholders.
Experience working in agile environments with cross-functional teams.
Willingness to work in a fast-paced deadline-driven setting with a high degree of autonomy.
Required Skills:
IDEAL PROFILE: The Fashionista: 35 years of experience specifically handling fashion beauty or lifestyle accounts in a creative agency. Portfolio Depth: A book that shows you can write everything from a witty one-liner for a meme to a soulful brand manifesto. Storytelling Instinct: Ability to take a product (like a pair of jeans) and build a 10-part content series around the feeling of wearing them. Platform Native: Deep understanding of how copy performs differently on LinkedIn vs. Instagram vs. Twitter/X.