Senior Advisor Data Analyst

Eskom

Verified

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Johannesburg

Gauteng, ZA

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Posted Date:

12 Feb 2026

Closing Date:

25 Feb 2026

Posted Date:

12 Feb 2026

Closing Date:

12 Feb 2026

Posted Date:

12 Feb 2026

Closing Date Not specified!!

Closing Date:

25 Feb 2026

Tech

Permanent

Senior Level

On-Site

Market Related

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1 Position Overview

Eskom is recruiting a Senior Advisor Data Analyst to support its Energy Management division within the Production and Sales business unit. This permanent role focuses on designing and deploying advanced artificial intelligence (AI), machine learning (ML), and deep learning (DL) solutions to enhance operational performance and strategic decision-making.

The successful candidate will operate at Task Grade G16 level and play a key role in leveraging advanced analytics to extract value from complex data environments within the energy sector.

1 Position Overview

The successful candidate will operate at Task Grade G16 level and play a key role in leveraging advanced analytics to extract value from complex data environments within the energy sector.

2 Position Overview

The successful candidate will operate at Task Grade G16 level and play a key role in leveraging advanced analytics to extract value from complex data environments within the energy sector.

1 Position Overview

The successful candidate will operate at Task Grade G16 level and play a key role in leveraging advanced analytics to extract value from complex data environments within the energy sector.

2 Who Should Apply

This opportunity is ideal for:

Experienced data science professionals with strong technical depth and business insight.
Holders of a B Degree or BTech (NQF Level 7, 360 credits) in:
- Computer Science, Mathematics, Statistics, Physics, Engineering, Actuarial Science

You Must have:

Minimum 5 years’ experience in data science and analytics, including:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)

Professionals with:

Leadership capability
Strong stakeholder management skills
Ability to align analytics initiatives with business strategy

NB: Applicants must have completed Grade 12 and meet academic qualification requirements.

2 Who Should Apply

This opportunity is ideal for:

Experienced data science professionals with strong technical depth and business insight.
Holders of a B Degree or BTech (NQF Level 7, 360 credits) in:
- Computer Science, Mathematics, Statistics, Physics, Engineering, Actuarial Science

You Must have:

Minimum 5 years’ experience in data science and analytics, including:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)

Professionals with:

Leadership capability
Strong stakeholder management skills
Ability to align analytics initiatives with business strategy

NB: Applicants must have completed Grade 12 and meet academic qualification requirements.

2 Who Should Apply

This opportunity is ideal for:

Experienced data science professionals with strong technical depth and business insight.
Holders of a B Degree or BTech (NQF Level 7, 360 credits) in:
- Computer Science, Mathematics, Statistics, Physics, Engineering, Actuarial Science

You Must have:

Minimum 5 years’ experience in data science and analytics, including:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)

Professionals with:

Leadership capability
Strong stakeholder management skills
Ability to align analytics initiatives with business strategy

NB: Applicants must have completed Grade 12 and meet academic qualification requirements.

2 Who Should Apply

This opportunity is ideal for:

Experienced data science professionals with strong technical depth and business insight.
Holders of a B Degree or BTech (NQF Level 7, 360 credits) in:
- Computer Science, Mathematics, Statistics, Physics, Engineering, Actuarial Science

You Must have:

Minimum 5 years’ experience in data science and analytics, including:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Deep Learning (DL)

Professionals with:

Leadership capability
Strong stakeholder management skills
Ability to align analytics initiatives with business strategy

NB: Applicants must have completed Grade 12 and meet academic qualification requirements.

3 Areas of Exposure

Applicant will develop practical skills in:

Architecting, designing, and deploying AI/ML/DL solutions.
Building, maintaining, and improving analytic models and reporting solutions.
Innovating new machine learning prototypes and solutions.
Managing data science portfolios and advanced analytics roadmaps.
Data modelling and evaluation.
Signal and audio/video processing techniques.
Neural network architecture and reinforcement learning.
Natural language processing and foundation models.
Agile development lifecycle implementation.
Programming languages: Python, Java.
Software tools: Adobe Creative Suite, Microsoft Suite.

NB: This role combines compliance monitoring, data analysis, and coordination across departments.

3 Areas of Exposure

Applicant will develop practical skills in:

Architecting, designing, and deploying AI/ML/DL solutions.
Building, maintaining, and improving analytic models and reporting solutions.
Innovating new machine learning prototypes and solutions.
Managing data science portfolios and advanced analytics roadmaps.
Data modelling and evaluation.
Signal and audio/video processing techniques.
Neural network architecture and reinforcement learning.
Natural language processing and foundation models.
Agile development lifecycle implementation.
Programming languages: Python, Java.
Software tools: Adobe Creative Suite, Microsoft Suite.

NB: This role combines compliance monitoring, data analysis, and coordination across departments.

3 Areas of Exposure

Applicant will develop practical skills in:

Architecting, designing, and deploying AI/ML/DL solutions.
Building, maintaining, and improving analytic models and reporting solutions.
Innovating new machine learning prototypes and solutions.
Managing data science portfolios and advanced analytics roadmaps.
Data modelling and evaluation.
Signal and audio/video processing techniques.
Neural network architecture and reinforcement learning.
Natural language processing and foundation models.
Agile development lifecycle implementation.
Programming languages: Python, Java.
Software tools: Adobe Creative Suite, Microsoft Suite.

NB: This role combines compliance monitoring, data analysis, and coordination across departments.

3 Areas of Exposure

Applicant will develop practical skills in:

Architecting, designing, and deploying AI/ML/DL solutions.
Building, maintaining, and improving analytic models and reporting solutions.
Innovating new machine learning prototypes and solutions.
Managing data science portfolios and advanced analytics roadmaps.
Data modelling and evaluation.
Signal and audio/video processing techniques.
Neural network architecture and reinforcement learning.
Natural language processing and foundation models.
Agile development lifecycle implementation.
Programming languages: Python, Java.
Software tools: Adobe Creative Suite, Microsoft Suite.

NB: This role combines compliance monitoring, data analysis, and coordination across departments.

4 What You’ll Gain

Exposure to high-impact analytics projects in the energy sector.
Hands-on experience in AI/ML/DL applied to enterprise systems.
Opportunity to innovate and research emerging technologies.
Development of leadership and stakeholder management skills.
Growth in strategic thinking and portfolio management.

4 What You’ll Gain

Exposure to high-impact analytics projects in the energy sector.
Hands-on experience in AI/ML/DL applied to enterprise systems.
Opportunity to innovate and research emerging technologies.
Development of leadership and stakeholder management skills.
Growth in strategic thinking and portfolio management.

4 What You’ll Gain

Exposure to high-impact analytics projects in the energy sector.
Hands-on experience in AI/ML/DL applied to enterprise systems.
Opportunity to innovate and research emerging technologies.
Development of leadership and stakeholder management skills.
Growth in strategic thinking and portfolio management.

4 What You’ll Gain

Exposure to high-impact analytics projects in the energy sector.
Hands-on experience in AI/ML/DL applied to enterprise systems.
Opportunity to innovate and research emerging technologies.
Development of leadership and stakeholder management skills.
Growth in strategic thinking and portfolio management.

5 Requirements & Documents

Applicants must submit:

Grade 12 / Matric
B Degree/BTech (NQF Level 7, 360 credits) in a relevant field.
Minimum 5 years’ experience in data science/analytics including AI/ML/DL.
Submit all academic and supporting documents online via Eskom recruitment portal.

Tip: Applications must be completed online only via the official Eskom recruitment website.

5 Requirements & Documents

Applicants must submit:

Grade 12 / Matric
B Degree/BTech (NQF Level 7, 360 credits) in a relevant field.
Minimum 5 years’ experience in data science/analytics including AI/ML/DL.
Submit all academic and supporting documents online via Eskom recruitment portal.

Tip: Applications must be completed online only via the official Eskom recruitment website.

5 Requirements & Documents

Applicants must submit:

Grade 12 / Matric
B Degree/BTech (NQF Level 7, 360 credits) in a relevant field.
Minimum 5 years’ experience in data science/analytics including AI/ML/DL.
Submit all academic and supporting documents online via Eskom recruitment portal.

Tip: Applications must be completed online only via the official Eskom recruitment website.

5 Requirements & Documents

Applicants must submit:

Grade 12 / Matric
B Degree/BTech (NQF Level 7, 360 credits) in a relevant field.
Minimum 5 years’ experience in data science/analytics including AI/ML/DL.
Submit all academic and supporting documents online via Eskom recruitment portal.

Tip: Applications must be completed online only via the official Eskom recruitment website.

6 How to Apply

Application Channel:

Click (Apply Here) button we'll take you to official Eskom recruitment platform.
Apply online only via Eskom’s official recruitment platform.
Complete application form.
Application deadline: 25 February 2026.
If no response within 28 days, consider application unsuccessful.

Tip: Late or incomplete applications will not be considered.

6 How to Apply

Application Channel:

Click (Apply Here) button we'll take you to official Eskom recruitment platform.
Apply online only via Eskom’s official recruitment platform.
Complete application form.
Application deadline: 25 February 2026.
If no response within 28 days, consider application unsuccessful.

Tip: Late or incomplete applications will not be considered.

6 How to Apply

Application Channel:

Click (Apply Here) button we'll take you to official Eskom recruitment platform.
Apply online only via Eskom’s official recruitment platform.
Complete application form.
Application deadline: 25 February 2026.
If no response within 28 days, consider application unsuccessful.

Tip: Late or incomplete applications will not be considered.

6 How to Apply

Application Channel:

Click (Apply Here) button we'll take you to official Eskom recruitment platform.
Apply online only via Eskom’s official recruitment platform.
Complete application form.
Application deadline: 25 February 2026.
If no response within 28 days, consider application unsuccessful.

Tip: Late or incomplete applications will not be considered.

7 Application Tips

Do:

Highlight measurable AI/ML project outcomes.
Demonstrate business impact of analytics solutions.
Showcase leadership and stakeholder engagement experience.

Avoid:

Submitting incomplete documentation.
Listing tools without practical application.
Overstating experience beyond actual exposure.

7 Application Tips

Do:

Highlight measurable AI/ML project outcomes.
Demonstrate business impact of analytics solutions.
Showcase leadership and stakeholder engagement experience.

Avoid:

Submitting incomplete documentation.
Listing tools without practical application.
Overstating experience beyond actual exposure.

7 Application Tips

Do:

Highlight measurable AI/ML project outcomes.
Demonstrate business impact of analytics solutions.
Showcase leadership and stakeholder engagement experience.

Avoid:

Submitting incomplete documentation.
Listing tools without practical application.
Overstating experience beyond actual exposure.

7 Application Tips

Do:

Highlight measurable AI/ML project outcomes.
Demonstrate business impact of analytics solutions.
Showcase leadership and stakeholder engagement experience.

Avoid:

Submitting incomplete documentation.
Listing tools without practical application.
Overstating experience beyond actual exposure.

8 Important Notes

Eskom promotes equality, employment equity, and diversity.
Preference may be given to under-represented designated groups.
Candidates with disabilities encouraged to apply.
Eskom reserves the right not to make an appointment.
Workplace is smoke-free.

8 Important Notes

Eskom promotes equality, employment equity, and diversity.
Preference may be given to under-represented designated groups.
Candidates with disabilities encouraged to apply.
Eskom reserves the right not to make an appointment.
Workplace is smoke-free.

8 Important Notes

Eskom promotes equality, employment equity, and diversity.
Preference may be given to under-represented designated groups.
Candidates with disabilities encouraged to apply.
Eskom reserves the right not to make an appointment.
Workplace is smoke-free.

8 Important Notes

Eskom promotes equality, employment equity, and diversity.
Preference may be given to under-represented designated groups.
Candidates with disabilities encouraged to apply.
Eskom reserves the right not to make an appointment.
Workplace is smoke-free.

9 Quick Eligibility Check

✔ Relevant NQF Level 7 degree.

✔ Minimum 5 years’ AI/ML/DL experience.

✔ Strong programming and analytics skills.

✔ Ability to manage data science portfolios.

9 Quick Eligibility Check

✔ Relevant NQF Level 7 degree.

✔ Minimum 5 years’ AI/ML/DL experience.

✔ Strong programming and analytics skills.

✔ Ability to manage data science portfolios.

9 Quick Eligibility Check

✔ Relevant NQF Level 7 degree.

✔ Minimum 5 years’ AI/ML/DL experience.

✔ Strong programming and analytics skills.

✔ Ability to manage data science portfolios.

9 Quick Eligibility Check

✔ Relevant NQF Level 7 degree.

✔ Minimum 5 years’ AI/ML/DL experience.

✔ Strong programming and analytics skills.

✔ Ability to manage data science portfolios.

1 Disclaimer

This listing is for informational purposes. Applicants should verify details and apply directly via the official Eskom website. All applications are assessed fairly and in line with applicable employment legislation.

1 Disclaimer

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Hello Mzansi • April 15, 2026 • 23:17:49

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The data on this page gets updated

Hello Mzansi • April 15, 2026 • 23:17:49