For over three decades, SIMS Nigeria Limited has grown from a single store to a nationwide business in the consumer electronics space with locations across Nigeria. Our journey of consistent growth and dedication has been driven by a commitment to quality in every aspect of our business. From our highly skilled and well-informed staff to the innovations and processes we bring to bear to ensure each customer receives top-tier service and dependable products.

With pride, we believe we are on a journey to building a legacy rooted in trust, innovation, and exceptional standards riding on our partnership with Samsung, Royal Electronics, Panasonic, Philips, Beko, Kenwood, Powermatic, and many others. Our values continue to guide us, allowing SIMS Nigeria Limited to thrive in a constantly evolving market while delivering lasting value to our customers, partners, and people across Nigeria. With premium products and unmatched service, we are honored to represent these trusted brands in Nigeria, bringing innovation and quality products directly to our customers with the sole aim of enriching their lives.

As we continue to expand and adapt to meet the growing needs of our market, SIMS Nigeria Limited remains committed to setting the standard in product quality and service across the nation.

We are  recruiting to fill the position below:

 Job Title: Data Analyst

Location: Victoria Island, Lagos
Employment Type: Full-time

Role Overview

• The Data Analyst is responsible for collecting, processing, analysing, and interpreting business data to support informed decision-making and improve operational performance.
• The role involves preparing reports and dashboards, identifying trends and performance gaps, validating data accuracy, and providing actionable insights to support business planning, sales performance, inventory management, and other organisational objectives.

Key Responsibilities

• Data Collection and Management: Gather, consolidate, and organise data from various business units, ensuring completeness, accuracy, and consistency.
• Data Analysis: Analyse sales, inventory, customer, financial, and operational data to identify trends, patterns, variances, and opportunities for improvement.
• Reporting and Dashboards: Prepare periodic reports, dashboards, and visual presentations to communicate key business performance indicators to management and relevant departments.
• Data Validation and Quality Control: Conduct regular data checks, reconcile discrepancies, and ensure the reliability and integrity of business information.
• Performance Monitoring: Track departmental and organisational KPIs, identify deviations from targets, and highlight areas requiring management attention.
• Business Insights: Translate analytical findings into practical recommendations that support business planning, cost optimisation, revenue growth, and operational efficiency.
• Forecasting and Trend Analysis: Support sales forecasting, demand planning, inventory analysis, and performance projections using historical data and relevant analytical methods.
• Stakeholder Collaboration: Work with Sales, Finance, Human Resources, Supply Chain, Warehouse, and other departments to understand reporting needs and provide relevant analytical support.
• Process Improvement: Identify opportunities to automate recurring reports, improve data collection processes, and enhance the efficiency of business reporting.
• Data Confidentiality: Maintain the confidentiality and security of business and employee information in line with company policies and applicable data protection requirements.

Key Requirements

• Bachelor’s Degree or HND in Statistics, Mathematics, Economics, Accounting, Computer Science, Data Analytics, or a related discipline.
• Minimum of 4 years’ relevant experience in data analysis, business intelligence, or a related role.
• Proficiency in Microsoft Excel, including PivotTables, lookup functions, data cleaning, and reporting.
• Experience with Power BI, Tableau, or other data visualisation tools.
• Working knowledge of SQL and database management is an advantage.
• Strong analytical, numerical, and problem-solving skills.
• Ability to interpret complex data and communicate findings clearly to non-technical stakeholders.
• High attention to detail, accuracy, and data integrity.
• Good report-writing, presentation, and organisational skills.
• Ability to manage multiple reporting deadlines and work collaboratively across departments.

Application Closing Date
16th November, 2026.

How to Apply
Interested and qualified candidates should send their CV to: employment@simsng.com using the Job Title and Location as the subject of the email.