View Jobs at GUO Transport Company Limited |
Full Time |
Lagos |
Posted 2 years ago |
JOB TITLE: Data Analyst Officer
JOB 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.
HOW TO APPLY
Interested and qualified candidates should send their CV to: [email protected] using the Job Title as the subject of the mail.
Deadline: August 18, 2022
Job Features
Job Category | Data Analysis |