Data Analyst

Responsibilities:

• Collect, clean, organize, and analyze data from sales, marketing, customer service, logistics, inventory, and other business functions.
• Develop and maintain daily, weekly, and monthly dashboards and performance reports.
• Monitor key e-commerce metrics including revenue, order volume, conversion rate, average order value, customer acquisition cost, ROAS, cancellation rate, return rate, and repeat purchases.
• Analyze sales performance by product, sales representative, location, marketing channel, and customer segment.
• Identify trends, patterns, business risks, and opportunities from company data.
• Analyze customer purchasing behaviour and provide insights that can improve customer retention and repeat purchases.
• Work closely with the Sales and Marketing teams to evaluate lead quality, conversion rates, campaign performance, and advertising effectiveness.
• Analyze product performance and identify best-selling, slow-moving, and underperforming products.
• Monitor order fulfilment, cancellations, failed deliveries, returns, and other operational metrics.
• Investigate unusual changes in revenue, sales, customer behaviour, or operational performance and provide explanations to management.
• Develop automated dashboards and reporting systems using Power BI, Excel, Looker Studio, Tableau, or similar tools.
• Use SQL and other analytical tools to extract and manipulate data from different databases.
• Ensure the accuracy, consistency, and integrity of business data.
• Provide forecasts and trend analysis to support sales, inventory, and business planning.
• Present complex findings in a simple and understandable format to management.
• Recommend data-driven strategies for improving revenue, conversion, operational efficiency, and profitability.

• Bachelor's degree/HND in Statistics, Mathematics, Computer Science, Economics, Data Science, Business Analytics, or a related field.
• Minimum of 2–4 years of experience in Data Analysis, Business Intelligence, or a related position.
• Previous experience in e-commerce, retail, FMCG, logistics, fintech, or another data-driven environment is an advantage.
• Strong proficiency in Microsoft Excel/Google Sheets.
• Good knowledge of SQL for data extraction and analysis.
• Experience with Power BI, Tableau, Looker Studio, or similar visualization tools.
• Knowledge of Python or R for data analysis is an added advantage.
• Experience working with large datasets and multiple data sources.
• Understanding of e-commerce and digital marketing metrics.
• Strong reporting and data visualization skills.

• Data Analysis & Interpretation
• Advanced Excel
• SQL
• Power BI / Tableau
• Dashboard Development
• Data Cleaning & Validation
• Sales & Revenue Analysis
• E-commerce Analytics
• Marketing Performance Analysis
• Customer Behaviour Analysis
• Forecasting & Trend Analysis
• Problem-Solving
• Attention to Detail
• Commercial Awareness
• Reporting & Presentation