Data & Business Review Analyst at VMAX Tea & Coffee Ltd

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• • Data & Business Review Analyst at VMAX Tea & Coffee Ltd
  • View Jobs in Food Services / View Jobs at VMAX Tea & Coffee Ltd

  Posted: Jun 25, 2026

  Deadline: Not specified

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  VMAX365 is a leading Chinese tea & coffee chain brand, committed to delivering authentic Chinese flavors to the world. With a strong presence in Asia, we are now expanding into Nigeria, starting with our first stores in Lagos Ikeja. Our Vision To become Nigeria’s most loved tea & coffee chain, offering not just drinks, but a lifestyle experience.
  

  Data & Business Review Analyst

  • Job Type Full Time , Onsite
  • Qualification BA/BSc/HND
  • Experience 3 years
  • Location Lagos
  • Job Field Data, Business Analysis and AI&nbsp
  • Salary Range ₦150,000 - ₦200,000/month

  Job Summary

  We are hiring a Data & Business Review Analyst in Lagos to manage operational data, build dashboards, prepare weekly reports, conduct performance reviews, analyze root causes, and provide actionable recommendations for business improvement.

  Key Responsibilities

  • Collect, clean, validate, and organize business data across content, livestream, sales, supply chain, and customer service.
  • Build and maintain dashboards for daily and weekly business tracking.
  • Prepare weekly reports, review documents, and performance analysis for management.
  • Conduct root-cause analysis on business problems such as low conversion, low GMV, stock issues, or complaint increases.
  • Track data completeness, accuracy, and reporting timelines.
  • Translate business questions into measurable indicators and clear recommendations.
  • Work with operations teams to follow up on improvement actions.

  Requirements

  • Experience in data analysis, business operations analysis, e-commerce analysis, or reporting.
  • Strong Excel or Google Sheets skills; SQL, Power BI, Tableau, or Looker Studio is an advantage.
  • Able to explain data findings clearly to non-technical stakeholders.
  • Strong logical thinking, accuracy, and business sense.
  • Comfortable working with daily deadlines and multiple data sources.

  Daily KPIs

  • Data accuracy rate.
  • Indicator completeness.
  • Accuracy of root-cause analysis.
  • Quality and practicality of optimization recommendations.

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