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Business Data Analyst at GUO Transport Company Limited

GUO Transport Company LimitedLagos, Nigeria Data and Artificial Intelligence
Full Time
Founded in 1980, GUO Transport Company Ltd. is a division of G. U. Okeke & Sons Ltd. A household name in the transportation industry and one of the largest provider of intercity and interstate transportation, serving more than 200 destinations across Nigeria and West Africa with a modern, environmentally friendly fleet. The company has become an icon in the transportation industry, providing safe, enjoyable and affordable travel to millions of passengers annually. While GUO transport Co. is well known for its regularly scheduled passenger service, the company also provides a number of other services for its customers such as value-priced same-day and early-next-day haulage and package delivery to numerous destinations in Nigeria.

Job Objective(s)

  • Responsible for gathering, analyzing, and interpreting data to provide actionable insights that improve business operations, optimize logistics processes, and drive strategic decision-making.

Duties & Responsibilities

  • Gather, clean, and analyze data from various sources, including operational systems, customer databases, and financial records.
  • Identify trends, patterns, and insights to improve logistics efficiency, customer satisfaction, and cost management.
  • Monitor key performance indicators (KPIs) and prepare regular reports for management.
  • Develop and maintain dashboards using data visualization tools (e.g., Power BI, Tableau, Excel) to track company performance.
  • Generate reports on fleet utilization, operational material usage, vehicle part usage, tyres usage, maintenance records, delivery timelines and warehouse efficiency.
  • Support route optimization and fleet management strategies to enhance delivery efficiency.
  • Ensure data integrity, accuracy, and security in compliance with company policies and industry regulations.
  • Maintain proper documentation of data processes, methodologies, and reports.
  • Collaborate with IT, Operations, BOM, LOM, Regional Manager and other departments to enhance productivity and reduce operational costs.
  • Present findings and insights to management for strategic decision-making.
  • Support fleet management by identifying underutilized or overutilized vehicles.
  • Identify bottlenecks in transport and logistics operations and propose data-driven solutions.
  • Recommend process automation opportunities to reduce manual effort and errors.
  • Support digital transformation initiatives within the company.
  • Analyze customer feedback and complaints to identify service improvement areas.
  • Identify risks related to fraud, revenue leakage, or operational inefficiencies.
  • Work with the operations team to minimize fuel costs and vehicle downtime.
  • Track key performance indicators (KPIs) related to fleet utilization, route efficiency, revenue, and delivery timing, operational materials.
  • Any other task assigned by the MD and Director.

Key Performance Indicators

  • Process Improvement: Implementation of at least 10 initiatives in a quarter
  • Effective Cost Containment: Not more than 5% deviation from the approved Budget
  • Timely submission of Management Reports: Timeliness and accuracy of report

Job Requirements
Education:

  • Bachelor’s Degree in Business Management, Entrepreneurship, Statistics, Data Science, Business Analytics, Economics, Computer Science, or a related field.

Experience:

  • Knowledge of Nigerian transportation regulations.
  • 2-5 years of experience in data analysis, preferably in the logistics or transportation sector.
  • Proficiency in SQL, Excel, Python, R, Power BI, or Tableau for data analysis and visualization.

Key Competency Requirements:
Knowledge:

  • Excellent leadership and interpersonal skills, with the ability to motivate and inspire a team.
  • Experience with ERP and logistics management software.
  • Knowledge of transport operations, fleet management, and logistics analytics is an advantage.
  • Understanding of predictive modelling and machine learning techniques.
  • Familiarity with financial analysis and budgeting in logistics.
  • Strong analytical and problem-solving abilities, with a keen attention to detail.
  • Effective communication skills, both verbal and written, with the ability to interact with stakeholders at all levels.

Skills / Competencies:

  • Must have excellent interpersonal skills, be tenacious, detail-oriented, tough minded when needed, but diplomatic.
  • Must be able to settle in an environment requiring entrepreneurial/building skills.
  • Keen interest to sales, structuring and implementing deals.
  • Must be capable of working with a team.
  • Excellent communication, negotiation, and planning skills.
  • Must be sales oriented.
  • Must be market savvy, with good networking skills.
  • Must be proactive and with high energy levels.
  • Must be analytical, practical and have aptitude for trouble-shooting.
  • High attention to detail and accuracy with the ability to work under pressure to meet tight deadlines.

Method of Application

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