Data Analyst Officer at GUO Transport Company Limited

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
3 years ago

Additional Details

Job ID
11146
Job Views
125

Job Description



Location: Coker Orile, Lagos


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.


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