Data Analyst
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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.
Min Qualification:
HND
Experience Level:
Entry level
Experience Length:
2 years
Language Requirement:
English
Work Type:
Full Time
Working Hours:
8 to 5
Applicant Location:
Nigeria
Job descriptions & requirements
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
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