Data Analyst
AI job insight
Davidorlah Farms is hiring a Data Analyst in Lagos to collect, analyse, and interpret e-commerce data, build dashboards, and deliver insights that boost sales, marketing, customer experience, inventory, and profitability. Full-time on-site role, 8am to 5pm, paying NGN 250,000 to 400,000 monthly, with 2 years experience and an HND minimum required.
- Full-time on-site Data Analyst role in Lagos, 8am to 5pm schedule
- Salary range NGN 250,000 - 400,000 monthly
- 2 years experience and HND minimum qualification, Nigeria-based candidates
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Davidorlah Farms is hiring a Data Analyst in Lagos to collect, analyse, and interpret e-commerce data, build dashboards, and deliver insights that boost sales, marketing, customer experience, inventory, and profitability. Full-time on-site role, 8am to 5pm, paying NGN 250,000 to 400,000 monthly, with 2 years experience and an HND minimum required.
- Full-time on-site Data Analyst role in Lagos, 8am to 5pm schedule
- Salary range NGN 250,000 - 400,000 monthly
- 2 years experience and HND minimum qualification, Nigeria-based candidates
- Strong focus on e-commerce metrics such as revenue, conversion, ROAS, CAC, and retention
- Hands-on with SQL, Power BI, Excel, Looker Studio, and Tableau
- Works closely with Sales and Marketing teams on campaign and lead performance
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists NGN 250,000 - 400,000. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in sales, cleaning, retailThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in LagosThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Data Analyst evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Troven Solution Services Ltd and the role in Lagos.
- Add concrete examples related to sales, cleaning, retail, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobberman Nigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
Source and safety check
- Jobberman Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Data Analyst role in sales, cleaning?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Lagos under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Troven Solution Services Ltd before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
D
Data Analyst
Davidorlah Farms
Software & Data
Today
Easy apply
New
Lagos
Full Time
Advertising, Media & Communications
NGN
250,000 - 400,000
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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
Key Accountabilities
- 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.
Requirements
- 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.
Preferred Qualifications
- 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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