Data Analyst

Pepkor Lifestyle Corporate – IT

Verified

Sandton

Gauteng, ZA

Featured

Posted Date:

23 Jul 2026

Closing Date:

31 Jul 2026

Tech

Permanent

Mid Level

On-Site

Market Related

Back

Data Analyst

Pepkor Lifestyle Corporate – IT

Verified

Sandton

Gauteng, ZA

Featured

Posted Date:

23 Jul 2026

Closing Date:

31 Jul 2026

Tech

Permanent

Mid Level

On-Site

Market Related

Back

Data Analyst

Pepkor Lifestyle Corporate – IT

Sandton

Gauteng, ZA

Posted Date:

23 Jul 2026

Closing Date:

31 Jul 2026

Tech

Permanent

Mid Level

On-Site

Market Related

Back

Data Analyst

Pepkor Lifestyle Corporate – IT

Sandton

Gauteng, ZA

Posted Date:

23 Jul 2026

Closing Date:

31 Jul 2026

Tech

Permanent

Mid Level

On-Site

Market Related

Back

1 Position Overview

Pepkor Lifestyle is recruiting a Data Analyst within its Corporate IT – Data Analyst and Reports division based in Sandton, Gauteng. This is a professional permanent opportunity designed for candidates with data analytics experience who enjoy transforming business data into meaningful insights. The successful candidate will develop reports, analyse trends, support business decision-making and deliver data visualisation solutions for stakeholders.

The role offers a market-related salary package, depending on qualifications and experience, making it an excellent long-term opportunity for professionals looking to build a career in business intelligence, analytics and reporting within South Africa's retail sector.

1 Position Overview

2 Minimum Requirements

Applicants must have:

A 3-year Degree in a quantitative field such as Data Science, Finance, Economics or a related discipline.
1–4 years' experience in data analytics.
Strong mathematical and analytical ability.
Experience using SQL, Python, SAS, AWS and Cloud technologies.
Proficiency in Microsoft Office or Google Workspace.
Ability to analyse, interpret and model complex datasets.
Strong written and verbal communication skills.
Report writing and presentation skills.

Advantageous:

Postgraduate qualification.
AWS experience.
Knowledge of Retail SAP architecture, implementation and operations.

NB: Candidates should possess strong investigation, project management and problem-solving skills. Experience working in complex IT environments will strengthen your application.

2 Minimum Requirements

Applicants must have:

A 3-year Degree in a quantitative field such as Data Science, Finance, Economics or a related discipline.
1–4 years' experience in data analytics.
Strong mathematical and analytical ability.
Experience using SQL, Python, SAS, AWS and Cloud technologies.
Proficiency in Microsoft Office or Google Workspace.
Ability to analyse, interpret and model complex datasets.
Strong written and verbal communication skills.
Report writing and presentation skills.

Advantageous:

Postgraduate qualification.
AWS experience.
Knowledge of Retail SAP architecture, implementation and operations.

NB: Candidates should possess strong investigation, project management and problem-solving skills. Experience working in complex IT environments will strengthen your application.

2 Minimum Requirements

Applicants must have:

A 3-year Degree in a quantitative field such as Data Science, Finance, Economics or a related discipline.
1–4 years' experience in data analytics.
Strong mathematical and analytical ability.
Experience using SQL, Python, SAS, AWS and Cloud technologies.
Proficiency in Microsoft Office or Google Workspace.
Ability to analyse, interpret and model complex datasets.
Strong written and verbal communication skills.
Report writing and presentation skills.

Advantageous:

Postgraduate qualification.
AWS experience.
Knowledge of Retail SAP architecture, implementation and operations.

NB: Candidates should possess strong investigation, project management and problem-solving skills. Experience working in complex IT environments will strengthen your application.

2 Minimum Requirements

Applicants must have:

A 3-year Degree in a quantitative field such as Data Science, Finance, Economics or a related discipline.
1–4 years' experience in data analytics.
Strong mathematical and analytical ability.
Experience using SQL, Python, SAS, AWS and Cloud technologies.
Proficiency in Microsoft Office or Google Workspace.
Ability to analyse, interpret and model complex datasets.
Strong written and verbal communication skills.
Report writing and presentation skills.

Advantageous:

Postgraduate qualification.
AWS experience.
Knowledge of Retail SAP architecture, implementation and operations.

NB: Candidates should possess strong investigation, project management and problem-solving skills. Experience working in complex IT environments will strengthen your application.

3 Key Responsibilities

Successful applicants will be responsible for:

Developing and maintaining data visualisation and reporting solutions.
Designing reports that meet business and stakeholder requirements.
Analysing business data and identifying trends and patterns.
Providing knowledge transfer and user support for reporting solutions.
Delivering customer-focused data services while collaborating with internal teams.

Tip or NB: Ensure your CV highlights projects involving SQL, Python, AWS, Power BI, SAS or similar analytics platforms. Include measurable achievements wherever possible.

3 Key Responsibilities

Successful applicants will be responsible for:

Developing and maintaining data visualisation and reporting solutions.
Designing reports that meet business and stakeholder requirements.
Analysing business data and identifying trends and patterns.
Providing knowledge transfer and user support for reporting solutions.
Delivering customer-focused data services while collaborating with internal teams.

Tip or NB: Ensure your CV highlights projects involving SQL, Python, AWS, Power BI, SAS or similar analytics platforms. Include measurable achievements wherever possible.

3 Key Responsibilities

Successful applicants will be responsible for:

Developing and maintaining data visualisation and reporting solutions.
Designing reports that meet business and stakeholder requirements.
Analysing business data and identifying trends and patterns.
Providing knowledge transfer and user support for reporting solutions.
Delivering customer-focused data services while collaborating with internal teams.

Tip or NB: Ensure your CV highlights projects involving SQL, Python, AWS, Power BI, SAS or similar analytics platforms. Include measurable achievements wherever possible.

3 Key Responsibilities

Successful applicants will be responsible for:

Developing and maintaining data visualisation and reporting solutions.
Designing reports that meet business and stakeholder requirements.
Analysing business data and identifying trends and patterns.
Providing knowledge transfer and user support for reporting solutions.
Delivering customer-focused data services while collaborating with internal teams.

Tip or NB: Ensure your CV highlights projects involving SQL, Python, AWS, Power BI, SAS or similar analytics platforms. Include measurable achievements wherever possible.

4 What You Will Gain

Employees will benefit from:

Permanent employment with a leading South African retailer.
Market-related remuneration.
Exposure to enterprise data analytics and reporting platforms.
Career growth within Corporate IT and Business Intelligence.
Opportunities to work on large-scale retail data projects.

Tip: Candidates with experience in data visualisation, dashboard development and cloud-based analytics platforms are likely to stand out during the recruitment process.

4 What You Will Gain

Employees will benefit from:

Permanent employment with a leading South African retailer.
Market-related remuneration.
Exposure to enterprise data analytics and reporting platforms.
Career growth within Corporate IT and Business Intelligence.
Opportunities to work on large-scale retail data projects.

Tip: Candidates with experience in data visualisation, dashboard development and cloud-based analytics platforms are likely to stand out during the recruitment process.

4 What You Will Gain

Employees will benefit from:

Permanent employment with a leading South African retailer.
Market-related remuneration.
Exposure to enterprise data analytics and reporting platforms.
Career growth within Corporate IT and Business Intelligence.
Opportunities to work on large-scale retail data projects.

Tip: Candidates with experience in data visualisation, dashboard development and cloud-based analytics platforms are likely to stand out during the recruitment process.

4 What You Will Gain

Employees will benefit from:

Permanent employment with a leading South African retailer.
Market-related remuneration.
Exposure to enterprise data analytics and reporting platforms.
Career growth within Corporate IT and Business Intelligence.
Opportunities to work on large-scale retail data projects.

Tip: Candidates with experience in data visualisation, dashboard development and cloud-based analytics platforms are likely to stand out during the recruitment process.

5 Application Process

How to Apply

Submit:

Updated CV.
Certified copies of relevant qualifications.
South African ID.
Any additional supporting documents requested on the official application page.

Ensure your CV includes:

Complete employment history.
Technical skills (SQL, Python, SAS, AWS, Cloud, SAP, Power BI if applicable).
Key projects and measurable achievements.
Employer names, duties and employment dates.

Closing date: 31 July 2026
Apply early — late applications may not be considered.
Click the Apply button — you will be redirected to the official Pepkor Lifestyle careers website, where the application is submitted online.

Tip: Tailor your CV to match the advertised technical requirements and clearly demonstrate your analytical, reporting and business intelligence experience.

5 Application Process

How to Apply

Submit:

Updated CV.
Certified copies of relevant qualifications.
South African ID.
Any additional supporting documents requested on the official application page.

Ensure your CV includes:

Complete employment history.
Technical skills (SQL, Python, SAS, AWS, Cloud, SAP, Power BI if applicable).
Key projects and measurable achievements.
Employer names, duties and employment dates.

Closing date: 31 July 2026
Apply early — late applications may not be considered.
Click the Apply button — you will be redirected to the official Pepkor Lifestyle careers website, where the application is submitted online.

Tip: Tailor your CV to match the advertised technical requirements and clearly demonstrate your analytical, reporting and business intelligence experience.

5 Application Process

How to Apply

Submit:

Updated CV.
Certified copies of relevant qualifications.
South African ID.
Any additional supporting documents requested on the official application page.

Ensure your CV includes:

Complete employment history.
Technical skills (SQL, Python, SAS, AWS, Cloud, SAP, Power BI if applicable).
Key projects and measurable achievements.
Employer names, duties and employment dates.

Closing date: 31 July 2026
Apply early — late applications may not be considered.
Click the Apply button — you will be redirected to the official Pepkor Lifestyle careers website, where the application is submitted online.

Tip: Tailor your CV to match the advertised technical requirements and clearly demonstrate your analytical, reporting and business intelligence experience.

5 Application Process

How to Apply

Submit:

Updated CV.
Certified copies of relevant qualifications.
South African ID.
Any additional supporting documents requested on the official application page.

Ensure your CV includes:

Complete employment history.
Technical skills (SQL, Python, SAS, AWS, Cloud, SAP, Power BI if applicable).
Key projects and measurable achievements.
Employer names, duties and employment dates.

Closing date: 31 July 2026
Apply early — late applications may not be considered.
Click the Apply button — you will be redirected to the official Pepkor Lifestyle careers website, where the application is submitted online.

Tip: Tailor your CV to match the advertised technical requirements and clearly demonstrate your analytical, reporting and business intelligence experience.

6 FAQ

Frequently Asked Questions

Got questions about this role? We've got answers.

What qualifications are required?

A three-year degree in Data, Finance, Economics or another quantitative field is required. A postgraduate qualification is advantageous.

Who can apply?

Candidates who meet the educational requirements and have 1–4 years of relevant data analytics experience may apply.

Is experience required?

Yes. Applicants should have between one and four years of experience in data analytics and be proficient in SQL, Python and related analytical tools.

How do I apply?

Click the Apply button and complete your application through the official Pepkor Lifestyle careers website before 31 July 2026.

Is there career growth?

Yes. This permanent role offers opportunities to grow into senior data analytics, business intelligence, reporting, data engineering or management positions within Pepkor Lifestyle.

6 FAQ

Frequently Asked Questions

Got questions about this role? We've got answers.

What qualifications are required?

A three-year degree in Data, Finance, Economics or another quantitative field is required. A postgraduate qualification is advantageous.

Who can apply?

Candidates who meet the educational requirements and have 1–4 years of relevant data analytics experience may apply.

Is experience required?

Yes. Applicants should have between one and four years of experience in data analytics and be proficient in SQL, Python and related analytical tools.

How do I apply?

Click the Apply button and complete your application through the official Pepkor Lifestyle careers website before 31 July 2026.

Is there career growth?

Yes. This permanent role offers opportunities to grow into senior data analytics, business intelligence, reporting, data engineering or management positions within Pepkor Lifestyle.

6 FAQ

Frequently Asked Questions

Got questions about this role? We've got answers.

What qualifications are required?

A three-year degree in Data, Finance, Economics or another quantitative field is required. A postgraduate qualification is advantageous.

Who can apply?

Candidates who meet the educational requirements and have 1–4 years of relevant data analytics experience may apply.

Is experience required?

Yes. Applicants should have between one and four years of experience in data analytics and be proficient in SQL, Python and related analytical tools.

How do I apply?

Click the Apply button and complete your application through the official Pepkor Lifestyle careers website before 31 July 2026.

Is there career growth?

Yes. This permanent role offers opportunities to grow into senior data analytics, business intelligence, reporting, data engineering or management positions within Pepkor Lifestyle.

6 FAQ

Frequently Asked Questions

Got questions about this role? We've got answers.

What qualifications are required?

A three-year degree in Data, Finance, Economics or another quantitative field is required. A postgraduate qualification is advantageous.

Who can apply?

Candidates who meet the educational requirements and have 1–4 years of relevant data analytics experience may apply.

Is experience required?

Yes. Applicants should have between one and four years of experience in data analytics and be proficient in SQL, Python and related analytical tools.

How do I apply?

Click the Apply button and complete your application through the official Pepkor Lifestyle careers website before 31 July 2026.

Is there career growth?

Yes. This permanent role offers opportunities to grow into senior data analytics, business intelligence, reporting, data engineering or management positions within Pepkor Lifestyle.

7 Disclaimer

Spanisam serves as an information and job listing platform only. We are not involved in recruitment decisions. Always verify job details, requirements and application procedures through the official Pepkor Lifestyle careers website before applying.

7 Disclaimer

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Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.

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Spanisam is 100% free for job seekers, and no fees are allowed at any stage of the application process. Any request for payment should be reported to us immediately.

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The data on this page gets updated

Hello Mzansi • July 23, 2026 • 14:39:40

Report An Issue

The data on this page gets updated

Hello Mzansi • July 23, 2026 • 14:39:40