GUO Transport Company is a division of G. U. Okeke & Sons Limited. A household name in the transportation industry and one of the largest providers of intercity and interstate transportation, serving more than 200 destinations across Nigeria and West Africa with a modern and environmentally friendly fleet.

We are recruiting to fill the position below:

Job Title: Data Analyst Officer

Location: Coker Orile, Lagos
Employment Type: Full-time

Responsibilities

• Analyze and interpret big volumes of data from client including internal data systems and external sources
• Identify, investigate and explain trends and patterns in data using data tools, platforms and analytical tool kits
• Translate complex findings into business terms and communicate to client
• Develop strategies for analytics to build advanced data visualizations and analytical models
• Moving analytics models from development to production.
• Use machine learning techniques for addressing a variety of problems (e.g. consumer segmentation, revenue forecasting etc.).
• Building machine learning models and systems, interpreting their output.
• Builds and manages/maintains a database to house data collected from various sources.
• Researches best practices; develops implementation plan of operational and cost improvement strategies; assists in seeking, evaluating and implementing new technology.

Requirements

• Bachelor’s Degree in Finance, Accounting, Economics or Statistics
• Strong knowledge of Microsoft Office (i.e. Word, Excel, PowerPoint)
• 5 years of experience or exposure to inventory management systems, processes and theory required
• Demonstrates analytical abilities using
• Ability to use data storage technologies: SQL, NoSQL,
• Advanced Microsoft Excel skills required
• Ability to use data visualization tools such as Power BI
• Ability to communicate clearly with colleagues.
• A proven track record of establishing and maintaining strong relationships.
• A proactive approach to problem solving, delivering results and meeting expectations.
• Strong statistical and programming skills and technical depth.
• Excellent written and oral communication skills (presentation & facilitation).
• Demonstrable creativity and innovation.
• Strong analytical and problem-solving capabilities
• Ability to remain organized, driven, and focused on multiple projects at a time.

Application Closing Date
18th August, 2022.