Absa | Junior Specialist: Data Analyst
Overview
Empowering Africa’s tomorrow, together…one story at a time. Join Absa Bank, a proudly African institution with over 100 years of history and regional and international expertise. We are looking for a motivated and detail-oriented Junior Specialist: Data Analyst to join our analytics team and support data-driven decision-making across the business.
Job Information
- Location: Johannesburg, South Africa (Hybrid)
- Time Type: Full-time
- Posted: 3 days ago
- Application Deadline: 6 February 2026
- Job Requisition ID: R-15983284
Purpose
The Junior Specialist: Data Analyst will assist in preparing datasets, analysing trends, and building dashboards to provide meaningful business insights. You will work alongside senior analysts and business teams to improve data quality and support data-driven decisions.
Key Responsibilities
- Clean, prepare, and validate data from multiple sources.
- Build reports and dashboards using BI tools such as Power BI.
- Perform basic data analysis to identify trends and insights.
- Support senior analysts with projects and ad-hoc analysis.
- Collaborate with business teams to understand reporting needs and improve data quality.
Qualifications Required
- Degree in Data Science, Statistics, Computational Mathematics, or Computer Science.
- Certifications in Power BI, SQL, or SAS are an advantage.
- Higher Diplomas in Physical, Mathematical, Computer, or Life Sciences are also considered.
Skills & Experience
- 0–2 years experience in a data or reporting role (internship experience acceptable).
- Strong analytical and problem-solving skills.
- Good Excel skills (pivot tables, functions).
- Basic SQL knowledge.
- Experience with BI tools (Power BI preferred).
- Attention to detail and effective communication skills.
- Ability to learn quickly and work well in a team.
Who Should Apply
This role is ideal for early-career professionals, recent graduates, or interns who are analytical, detail-oriented, and passionate about working with data. Candidates seeking mentorship, growth opportunities, and exposure to real-world business analytics in a dynamic, supportive environment should apply.
Why Join Us?
- Mentorship from experienced data analysts to grow your analytics skills.
- Hands-on experience with modern data tools and real business challenges.
- Opportunities for career development, upskilling, and exposure to business analytics within a leading African bank.
How to Apply
Submit your application before 6 February 2026 via the official Absa careers portal. Ensure your submission includes:
- An updated CV highlighting your academic achievements and any internship or work experience.
- Supporting documents such as degrees, diplomas, and relevant certifications.
- A cover letter expressing your interest in data analytics and suitability for the role.
Absa Bank is an equal opportunity, affirmative action employer. Preference is given to candidates from designated groups to promote equity, diversity, and inclusion within the organisation.
Junior Specialist: Data Analyst – Absa Bank, Johannesburg (Hybrid)
Overview
Empowering Africa’s tomorrow, together…one story at a time. Join Absa Bank, a proudly African institution with over 100 years of history and regional and international expertise. We are looking for a motivated and detail-oriented Junior Specialist: Data Analyst to join our analytics team and support data-driven decision-making across the business.
Job Information
- Location: Johannesburg, South Africa (Hybrid)
- Time Type: Full-time
- Posted: 3 days ago
- Application Deadline: 6 February 2026
- Job Requisition ID: R-15983284
Purpose
The Junior Specialist: Data Analyst will assist in preparing datasets, analysing trends, and building dashboards to provide meaningful business insights. You will work alongside senior analysts and business teams to improve data quality and support data-driven decisions.
Key Responsibilities
- Clean, prepare, and validate data from multiple sources.
- Build reports and dashboards using BI tools such as Power BI.
- Perform basic data analysis to identify trends and insights.
- Support senior analysts with projects and ad-hoc analysis.
- Collaborate with business teams to understand reporting needs and improve data quality.
Qualifications Required
- Degree in Data Science, Statistics, Computational Mathematics, or Computer Science.
- Certifications in Power BI, SQL, or SAS are an advantage.
- Higher Diplomas in Physical, Mathematical, Computer, or Life Sciences are also considered.
Skills & Experience
- 0–2 years experience in a data or reporting role (internship experience acceptable).
- Strong analytical and problem-solving skills.
- Good Excel skills (pivot tables, functions).
- Basic SQL knowledge.
- Experience with BI tools (Power BI preferred).
- Attention to detail and effective communication skills.
- Ability to learn quickly and work well in a team.
Who Should Apply
This role is ideal for early-career professionals, recent graduates, or interns who are analytical, detail-oriented, and passionate about working with data. Candidates seeking mentorship, growth opportunities, and exposure to real-world business analytics in a dynamic, supportive environment should apply.
Why Join Us?
- Mentorship from experienced data analysts to grow your analytics skills.
- Hands-on experience with modern data tools and real business challenges.
- Opportunities for career development, upskilling, and exposure to business analytics within a leading African bank.
How to Apply
Submit your application before 6 February 2026 via the official Absa careers portal. Ensure your submission includes:
- An updated CV highlighting your academic achievements and any internship or work experience.
- Supporting documents such as degrees, diplomas, and relevant certifications.
- A cover letter expressing your interest in data analytics and suitability for the role.
Absa Bank is an equal opportunity, affirmative action employer. Preference is given to candidates from designated groups to promote equity, diversity, and inclusion within the organisation.
🕒 Posted: 0000-00-00 00:00:00