IT Graduate (Group Data & Analytics)

About

Description

Join us at Nedbank and embark on an exhilarating journey into the cutting-edge world of data, including fields such as data science, and engineering! Propel your career forward as you immerse yourself in a dynamic learning experience, honing your skills and mastering competencies that will set you apart. Dive into real-world business environments, where you'll not only gather invaluable experience but also revolutionize the way divisions function. Be a driving force in transformative projects and initiatives, shaping the future of data-driven organisation!

Responsibilities

• Optimize operations through data-driven decision-making, focusing on cost reduction and eliminating non-value-added work
• • Leverage these skills to meet targets, deadlines, and standards as defined in management agreements
• • Strive for excellence in data-driven service delivery to both internal and external clients
• • Uphold consistent quality and productivity standards through meticulous data-driven monitoring and follow-through
• • Contribute to a culture of transformation by participating in Nedbank's data-centric initiatives
• • Implement advanced data modelling techniques to extract meaningful insights from complex datasets
• • Ensure robust data and AI governance by implementing best practices and compliance measures
• • Drive process enhancement and operational efficiency by researching and proposing data-backed improvement initiatives
• • Foster constructive internal relationships to ensure seamless workflow
• • Execute assignments within specified time frames while maintaining high-quality standards
• • Stay ahead of industry developments by identifying relevant training and career progression opportunities
• • Take ownership of your career path with guidance and support from management, the department, and colleagues
• • Promote knowledge management and enhance team success by sharing data-driven insights

Qualifications

• Data Science
• Data Analysis
• Data Engineering
• Data Modelling
• Data Governance

Application instructions:

• Reference: 137075