Select how often (in days) to receive an alert:
Since our founding in 1982 we have grown to become a world leader in comprehensive transport and delivery solutions for business and consumers. Headquartered in Dubai, at the heart of the world's most dynamic commercial hub and on the site of historic trade routes linking east and west, commerce and transport are deeply embedded in Aramex's DNA. We are dedicated to transforming the face of trade, expanding our operations rapidly to better connect businesses and consumers worldwide.
Location: Johannesburg, ZA
Custom Field 1: 6533
Purpose of the JobIn this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyse trends to make better decisions.
Responsibilities would include: - Undertaking data collection, data pre-processing, data engineering, feature selection and exploratory data analysis
- Interpreting data, analysing results using statistical techniques
-Building models to address business problems
- Presenting information using data visualization techniques
- Maintain and develop dashboards using business intelligence tools example Power Bi and Tableau.
- Maintain and develop datasets on our BI Microsoft SQL server.
- Manage a team of data analysts and monitoring performance.
- Team yearly and quarterly KPI reviews
- Lead successful team
Job DescriptionKey Duties: • Identify valuable data sources and automate collection processes
• Undertake pre-processing of structured and unstructured data
• Analyse large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modelling • Evaluate model performance and use hyperparameter tuning or feature selection to improve models.
• Implement object serialization (Storing variables and their values)
• Ensure model reproduce ability (environment dependencies and versions)
• Present information using data visualization techniques • Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams • Implement and drive new projects/models within the business.
• Identify areas of improvement within the business and by involving the necessary personnel with the relevant skills, proposing the required solutions.
• To provide instruction and guidance to other personnel within the Solutions team and company, and ultimately facilitating the achievement of goals.
• Conduct and lead feasibility studies on various internal and external ventures.
• Presentation of key findings to clients and the business.
• Ensure the solutions team remains informed of the technologies and capabilities available in the market.
• Keep EXCO informed of trends within the industry and business
• Offer guidance and support to the Business Analysts
- Proven experience as a Manager/Leader in similar role.
- Understanding of the logistics industry.
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of SQL and Python
- Experience using business intelligence tools (e.g. Tableau and Power Bi) - Analytical mind and business acumen
- Problem-solving aptitude
- Excellent communication and presentation skills (Visual story telling)
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred
- Valid Code 08 driver's license and own reliable transport
Technical Qualifications and Skills (Course/ Certificates and experience) - Microsoft Excel
- Microsoft Power BI Desktop
- Power Bi online
- Tableau Server and Online
- Microsoft SQL Server
- Python (Programming language)
- Experience with Pandas' library
- Python Data Analysis Library
- Data Analytics
- Data Science
- Experience with Machine Learning (Regression and classification)
- Project Management
#J-18808-Ljbffr