Fembol Group is a leading provider of comprehensive shipping, freight, and forwarding solutions. We specialize in delivering reliable and cost-effective logistics services to businesses globally. Our commitment to excellence, innovation, and customer satisfaction has positioned us as a key player in the logistics industry.
We are recruiting to fill the position below:
Job Title: Business Intelligence Analyst
Location: Apapa, Lagos
Employment Type: Full-time
Job Summary
The Business Intelligence Analyst will be responsible for cleaning, analysing, interpreting, and presenting data to support informed business decisions, improve operational efficiency, and drive organisational performance.
The successful candidate will transform raw data from various sources into meaningful insights, reports, dashboards, and actionable recommendations. The role will work closely with Operations, Finance, Commercial,Technology, and Management to monitor performance, identify trends, uncover inefficiencies, and support strategic planning.
The ideal candidate should possess strong analytical, problem-solving, and communication skills, with proficiency in data analysis tools, spreadsheet applications, database management, and data visualisation.
Key ResponsibilitiesData Collection and Management:Collect data from internal and external sources, including company databases, operational systems, spreadsheets, CRM platforms, ERP systems, and departmental reports.
Gather, consolidate, and organise data from multiple departments to support business analysis.
Ensure data is accurate, complete, consistent, and available for reporting.
Develop and maintain structured datasets for recurring analysis and reporting.
Identify gaps, inconsistencies, duplication, and errors in data.
Establish processes for efficient data collection, storage, retrieval, and management.
Maintain an up-to-date data inventory and documentation of relevant data sources.
Collaborate with department heads and data owners to improve the quality and availability of business data.
Support the development and maintenance of data repositories and databases.
Ensure data is handled in accordance with company policies, confidentiality requirements, and applicable data protection regulations.
Data Cleaning and Preparation:Clean and preprocess raw data to ensure accuracy and reliability.
Identify and resolve missing, duplicate, inaccurate, or inconsistent data.
Standardise data formats, naming conventions, and categorisation.
Validate data against source documents and approved business records.
Perform data transformation and preparation for analysis.
Develop repeatable processes for cleaning and preparing datasets.
Investigate data discrepancies and escalate unresolved issues to relevant stakeholders.
Maintain proper documentation of data preparation procedures and assumptions.
Data Analysis and Interpretation:Analyse business data to identify trends, patterns, relationships, and performance gaps.
Conduct descriptive and diagnostic analysis to understand business performance and operational outcomes.
Perform comparative analysis across departments, products, customers, projects, locations, and reporting periods.
Identify opportunities for cost reduction, revenue growth, productivity improvement, and process optimisation.
Analyse business performance against approved targets, budgets, and KPIs.
Conduct variance analysis to identify differences between actual and expected results.
Develop forecasts, projections, and trend analyses where required.
Perform root-cause analysis to support the resolution of operational and business challenges.
Translate analytical findings into practical recommendations for Management.
Support Management with data-driven insights for business planning and strategic decision-making.
Reporting and Dashboard Development:Prepare accurate, timely, and insightful daily, weekly, monthly, and quarterly reports.
Develop and maintain interactive dashboards using Power BI, Tableau, or equivalent platforms.
Design dashboards that provide visibility into business performance and key operational metrics.
Track departmental KPIs and present performance against approved targets.
Prepare Management reports highlighting key findings, trends, risks, and recommendations.
Automate recurring reports and reduce manual reporting processes.
Ensure all reports are clearly structured, visually understandable, and supported by accurate data.
Present analytical findings to Management and relevant stakeholders.
Update dashboards and reports in line with business requirements.
Maintain proper version control and documentation of reports and dashboards.
Business and Operational Performance Analysis:Analyse customer acquisition, retention, satisfaction, and sales performance.
Track operational productivity, turnaround times, service delivery, and resource utilisation.
Analyse shipment, haulage, freight forwarding, clearing, and logistics performance.
Monitor shipment volumes, delivery timelines, delays, costs, and operational bottlenecks.
Analyse customer and shipment profitability.
Track outstanding receivables, collection performance, and cash flow trends in collaboration with Finance.
Identify inefficiencies in business processes and recommend improvements.
Support Management in evaluating the performance of new initiatives, projects, and business strategies.
Provide insights to improve service quality, operational efficiency, and customer experience.
Required Qualifications and Experience
Bachelor's Degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Accounting, Finance, Engineering, or a related discipline.
3–5years of relevant experience in data analysis, business intelligence, reporting, or a related role.
Experience in a logistics, transportation, supply chain, finance, technology, or service-based organisation is an advantage.
Demonstrable experience in preparing reports, analysing datasets, and developing dashboards.
Experience working with cross-functional teams and business stakeholders.
Experience working with large datasets and multiple data sources is an advantage.
A Master's degree or relevant professional certifications in data analytics, business intelligence, or related fields will be an added advantage.
Technical Skills and Competencies:The successful candidate must possess:Advanced proficiency in Microsoft Excel and / or Google Sheets.
Strong knowledge of data cleaning, preparation, analysis, and visualisation.
Proficiency in Power BI, Tableau, or equivalent data visualisation tools.
Knowledge of SQL and database management.
Experience with data modelling, reporting automation, and dashboard development.
Knowledge of statistical analysis, trend analysis, forecasting, and variance analysis.
Strong proficiency in Google Workspace.
Understanding of data privacy, information security, and confidentiality.
Ability to learn new software, systems, and analytical tools quickly.
Application Closing Date21st September, 2026.
How to Apply
Interested and qualified candidates should:Click Apply Now button to apply
