Founded in 1912, Fraser Alexander has grown from humble beginnings to become a key player in the South African mining industry and in selected global locations.
Fraser Alexander is a leading supplier of Mining services which include: Minerals Processing, Construction and Tailings. A solid and well respected brand in the mining services area is looking to attract key talents to add to its existing pool of highly sought after professionals.
Job Title: DATA ANALYTICS AND OPERATIONAL TECHNOLOGY PRINCIPAL
Location: Johannesburg, Gauteng, South Africa
Reference #: DATA ANALYTICS AND OPERATIONAL TECHNOLOGY PRINCIPAL
Contract Type: Permanent
Salary: Market Related
This position exists to support the Business Improvement Initiatives through driving operational efficiencies by providing data driven decision-making tools. It will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for employees to follow.
Understands the complete Fraser Alexander’s strategic goals to be achieved by 2024.
Work with the BI Manager, General Managers and HODs on the data strategy implementation plan and develop an implementation plan for approval.
Develop prescriptive analytics solutions to assist Analyse operational activities, continuously scouting for improvement opportunities.
Provide data solutions to digitise dashboards utilized to Implement a Continuous Improvement (BI) platform, including MWDT, for all employees.
Setting up of Governance structures for data analytics and technology at operations, aligned with business strategies.
Setting up data capability to support for operational excellence to identify business improvement opportunities.
Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics that support key business decisions.
Technology & Data Analytics:
Bring about change management & infrastructure in Technology & Data analytics.
Data Analytics solutions to business – Machine Learning etc.
Drive Digital Transformation across the business divisions.
Assist in technology adoption and operational readiness.
Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
Working with and creating databases and dashboards using all relevant data to inform decisions.
Bachelor of Engineering; Bachelor of Science (Hons)
Postgraduate qualification in Data Science, Statistics and/or Engineering (desirable)
Advantageous skills Project Management, Python, R, Hadoop and Power BI
3- 6 years’ experience in production, mining operations or advanced analytics (advantageous)
3 -4 years’ Experience in Business Improvement or data science environment
Experience in developing and implementing data strategies (Strategy development, benefit tracking, implementing data repository)
SKILLS, QUALITIES AND ABILITIES REQUIRED:
Strong negotiation skills
Good communication, conflict handling and interpersonal skills
Good quality control skills
Computer skills (MS Office)
Microsoft Certified: Azure
Advantageous skills in Python and Power BI
Strong problem solving and analytical skills
Application Deadline: 06/05/2022