Position Summary

The e-Commerce Business Analyst will be responsible for managing report creation and data extraction processes. The candidate will design efficient Excel workbooks and dashboards to analyse data, track performance, and identify business opportunities. Likewise, this role involves working with cross-functional teams, to obtain and verify data and develop reports to meet business requirements. Familiarity with data analysis tools (e.g., SQL, R, Python) is a plus, but is not required.

Role and Responsibilities

Business Analysis:

Conduct in-depth analysis of e-commerce metrics and KPIs to identify trends, opportunities, and areas for improvement.Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights.Analyze customer feedback and reviews to identify pain points and areas for improvement.Analyze customer behavior and preferences to inform ecommerce strategy

Data Analysis and Operations:

Extract, clean, and transform large datasets from various data sources to gain valuable insights.Develop solutions to resolve issues from data ambiguity and incomplete informationUtilize Excel to create regularly updated reports and dashboards that communicate complex findings to stakeholders.Perform statistical analysis and predictive modelling to identify opportunities and forecast sales.Identify inefficiencies in the analysis and data extraction processes and propose solutions to streamline operations and reduce costs.Develop and implement process improvement initiatives, including workflow optimization, automation, and standardization.

Skills and Qualifications

Degree in Business Administration, Economics, Finance, Computer Science, or a related field.1-2 years of experience in business analysis, preferably in an e-commerce or retail setting.Experience working with large datasets in Excel and ability to use advanced functions such as index-match and string information manipulationWilling to work in a fast-paced environmentBe comfortable receiving data/information in different languages and be able to use translation apps as necessaryGood attention to detailProficiency in data analysis tools (e.g., SQL, Python, R) and/or data visualization tools (e.g., Tableau, Power BI) are a plus, but not requiredFamiliarity with ecommerce performance metrics (e.g., NPS, conversion rates, traffic) is also a plus, but not required

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