Role purpose
The Data & Analytics Specialist provides data and analytics expertise within Eskom Group IT’s Business Solution and Development Services (BSDS). The role sets direction for a modern data and analytics architecture, applies a range of data science techniques to very large and streaming data sets, and shapes the enterprise information-management landscape.
The resource brings knowledge of utility business models, hybrid (cloud / on-premises) data warehousing and data-fabric approaches, and ensures analytics work meets enterprise data-quality, data-classification and POPIA requirements — enabling Eskom to derive value from its data and become ready for the Fourth Industrial Revolution (4IR).
Key responsibilities
- Set direction for a modern data and analytics architecture, evolving and taking the framework forward in context.
- Apply a variety of data science techniques such as summarisation and forecasting to enterprise data.
- Work with very large data sets and streaming data sets aligned to utility business models.
- Design and support hybrid data warehouse (cloud / on-premises) and data-fabric solutions.
- Address enterprise information management, data quality, data classification and POPIA compliance.
1. Educational requirements
- At least a relevant IT-related Bachelor’s degree (BTech degrees are included).
Evidence required: certified copies of degrees and academic qualifications.
2. Professional requirements (certifications)
The resource is expected to hold recognised data and analytics certification and/or training. This criterion is a gatekeeper — a score of zero is an immediate disqualification.
Preference Priority
Requirements for this Preference Priority
4
Relevant IT-related Bachelor’s degree, AND
Any relevant Data and Analytics certification, AND any relevant Data and Analytics training or TOGAF certification.
3
Relevant IT-related Bachelor’s degree, AND
Any relevant Data and Analytics certification.
2
Relevant IT-related Bachelor’s degree, AND
A certificate of completion for any Data and Analytics training course.
1
Does not meet the requirements set out above.
3. Work experience requirements
The role requires demonstrable experience both in the data and analytics role itself and in the wider IT industry.
Preference Priority
Requirements for this Preference Priority
4
At least 7 years of experience in this role AND 10 or more years in the IT industry.
3
At least 5 years of experience in this role AND 8 or more years in the IT industry.
2
At least 3 years of experience in this role AND 5 or more years in the IT industry.
1
Does not meet the above (less than 3 years in the role, or less than 5 years in the IT industry).
4. Project experience requirements
The resource’s CV must clearly evidence the following data and analytics project experience, summarised in a dedicated section of the CV.
Core technical / project competencies
- Skills in a variety of data science techniques (e.g. summarisation, forecasting, etc.).
- Direction setting with a modern data and analytics architecture — evolving and taking a framework forward in context.
- Knowledge of utility business models and very large data sets and streaming data sets.
- Knowledge of POPIA and data classification, and understanding of enterprise information management and data quality issues.
- Hybrid data warehouse (cloud / on-premises) and data fabric.
Preference Priority
Requirements for this Preference Priority
4
Meets all 5 of the requirements above.
3
Meets 3 – 4 of the requirements.
2
Meets 2 of the requirements.
1
Meets only 1 of the requirements, or none.
Enterprise-scale project experience
Experience working in large organisations (more than 5,000 employees) that run multiple enterprise solutions — for example ERP, Work Management, Customer Relationship Management (CRM), Asset Management and IT/OT solutions — to enable Eskom to be ready for the Fourth Industrial Revolution (4IR).
Preference Priority
Requirements for this Preference Priority
2
Meets the requirement.
1
Does not meet the requirement.
Pay: R50 000,00 - R250 000,00 per month
Work Location: Hybrid remote in Johannesburg, Gauteng
