Data Collection and Management: Gather, clean, and organize data from various sources such as sales, customer behavior, website traffic, and marketing campaigns to ensure data accuracy and consistency.
Performance Analysis: Evaluate key performance indicators (KPIs) like conversion rates, average order value, and customer lifetime value to identify trends, patterns, and areas for improvement in the E-Commerce team.
Reporting and Visualization: Create comprehensive reports and visual dashboards to communicate insights and findings to stakeholders, enabling informed decision-making and strategic planning.
These activities collectively help an E-Commerce team leverage data to optimize their strategies, enhance customer experiences, and drive business growth.
Relevant knowledge skills & competences:
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Analytical Experience:
Mid-Level: 3-5 years of experience in data analytics, preferably within an eCommerce or retail environment.
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Technical Skills:
Proficiency in data analysis tools and software such as PowerBI and Excel, but also Google Analytics.
Experience with data visualization tools like PowerBI or Tableau.
Familiarity with statistical analysis and machine learning techniques.
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Domain Knowledge:
Understanding of eCommerce metrics, customer behavior analysis, and digital marketing analytics.
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Communication and Reporting:
Strong ability to communicate complex data insights to non-technical stakeholders through reports and visualizations.
Experience in creating dashboards and presenting findings to various levels of the organization.
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Project Management:
Experience in managing data projects, including gathering requirements, setting timelines, and delivering results.
These educational qualifications and experiences ensure that a data analyst is well-equipped to handle the demands of an eCommerce environment, drive data-driven decision-making, and contribute to the business's overall success.