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Commercial Analyst Engineer at Lebara Nigeria

Lebara NigeriaLagos, Nigeria Data and Artificial Intelligence
Full Time
Welcome to Lebara Mobile Nigeria. Stay connected across Nigeria. One SIM card, 9 countries & counting. Just great value.

Role Description

  • This is a full-time, on-site role in Lagos for a detail-oriented and analytical professional. The Commercial Analyst will play a crucial part in the Commercial Planning & BI team, responsible for collecting, analyzing, and reporting on commercial data to support strategic decision-making. You will transform raw data into actionable insights related to sales performance, market trends, customer behaviour, and product uptake, helping to drive the commercial success of Lebara Nigeria.

Key Responsibilities

  • Data Analysis: Analyze sales data, subscriber metrics, and market information to identify trends, challenges, and opportunities.
  • Reporting: Develop and generate regular reports and dashboards on key commercial performance indicators (KPIs) for management.
  • Performance Tracking: Monitor the performance of commercial initiatives, such as promotions and new product launches, and evaluate their impact.
  • Market Intelligence: Support the team by gathering and analyzing competitor activities, pricing strategies, and market offers.
  • Data Support: Provide ad-hoc data analysis and support to the Sales, Marketing, and Product teams to help them achieve their objectives.

Qualifications & Experience

  • Education: A Bachelor's degree in Statistics, Economics, Business, Finance, or a related quantitative field.
  • Experience: 2–4 years of experience in a data analysis, business analysis, or commercial analyst role, with experience in the telecommunications sector being a strong advantage.
  • Skills:
    • Strong proficiency in Microsoft Excel (e.g., pivot tables, VLOOKUPs, modeling).
    • Experience with data visualization tools like Power BI or Tableau is highly desirable.
    • Basic knowledge of SQL for data querying is a plus.
    • Excellent analytical and quantitative skills with a high attention to detail.
    • Good communication skills with the ability to present data clearly.

Method of Application

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