BRIEF DESCRIPTIONWe are seeking a detail-oriented Data Analyst to collect, analyse, and interpret business data to support decision-making, improve operational efficiency, and drive business growth. The ideal candidate will transform sales, inventory, customer, and operational data into actionable insights.
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Ascentech Services Limited is a full-fledged Human Resource Solution Provider incorporated in 2013 with its Head Office in Lagos, Nigeria. We are committed to forging long-term partnerships with our clients by creating and delivering robust and flexible services that address the changing needs of their businesses.
We are recruiting to fill the position below:
Job Title: Data Analyst
Location: Ikeja, Lagos
Employment Type: Full-time
Job Summary
We are seeking a detail-oriented Data Analyst to collect, analyse, and interpret business data to support decision-making, improve operational efficiency, and drive business growth.
The ideal candidate will transform sales, inventory, customer, and operational data into actionable insights.
Relevant experience in industrial tools organization.
Key ResponsibilitiesCollect, clean, analyse, and interpret sales, inventory, and operational data.
Develop dashboards and reports to monitor sales performance, stock movement, revenue, and business trends.
Use Microsoft Excel, Power BI, and other analytical tools to generate actionable insights.
Track key performance indicators (KPIs) and identify trends, gaps, and opportunities for improvement.
Analyse customer purchasing patterns, product performance, and sales team productivity.
Support management with data-driven forecasts and recommendations.
Maintain accurate databases and ensure data integrity across reporting systems.
Collaborate with Sales, Finance, and Operations teams to support business objectives.
RequirementsBachelor's Degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
2–3 years of relevant experience in data analysis or business reporting.
Relevant experience in industrial tools organization.
Strong proficiency in Microsoft Excel; Power BI experience is highly desirable.
Knowledge of SQL and database management is an advantage.
Strong analytical, numerical, and problem-solving skills.
Excellent communication and attention to detail.
SalaryOpen to negotiation.
Application Closing Date
13th November, 2026.
Method of Application
Interested and qualified candidates should send their CVs to: [Email hidden - Login to reveal] using the job title as the subject of the mail.
How To Apply
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Note: Only shortlisted candidates are contacted.
