Data Analyst

Job Title: Data Analyst

Location: Omole phase 2, Lagos

Job Summary

• The Data Analyst will be responsible for collecting, analyzing, and interpreting data across the e-commerce business to provide actionable insights that improve sales performance, marketing effectiveness, customer experience, inventory management, logistics, and overall profitability.
• The ideal candidate should be highly analytical, commercially minded, and proficient in transforming large datasets into clear reports and dashboards that support management decision-making.

Key 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.

Key Performance Indicators (KPIs)

The Data Analyst's performance can be measured through:

• Accuracy and timeliness of reports
• Dashboard reliability
• Quality of business insights
• Identification of revenue opportunities or operational losses
• Data accuracy
• The measurable impact of recommendations on business performance.

Requirements

• Bachelor's Degree / HND in Statistics, Mathematics, Computer Science, Economics, Data Science, Business Analytics, or a related field with 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.

Key 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

Preferred Candidate

• A commercially focused Data Analyst who can go beyond preparing reports and use data to answer important business questions such as why sales are declining, which products and channels are most profitable, where the company is losing money, and what actions management should take to improve performance.

Application Closing Date

30th November, 2026.