Tuesday, September 29, 2026

Graduate Trainee – Strategy & Data

Job overview

Graduate Trainee – Strategy & Data is available at Zambia National Commercial Bank Plc in Lusaka. Review the job description, requirements, closing date and application details below.

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Position Overview Zanaco Bank Plc is inviting applications from suitably qualified and experienced individuals for the following job aimed at contributing to the Bank’s strategic vision, in the CEO’s Division under the Strategy & Data at Head Office – Support Functions: Role Description What We Are Looking For We are seeking highly motivated graduates with a passion for leveraging data, analytics, and emerging technologies to solve business challenges, drive innovation, and support data-driven decision-making within the Bank. Applicants must have graduated within the past four (4) years and are encouraged to include links to public online portfolios, such as GitHub repositories. Requirements Education · Full Grade 12 Certificate with a Credit or better in five (5) subjects, including in English and Mathematics. · A Bachelor’s Degree in one of the following disciplines: Computer Science, Data Science, Data Engineering, Applied Statistics, Actuarial Science, Information Systems or any other quantitative, or technical discipline. Technical Skills Demonstrated knowledge or practical exposure in: · Python programming, SQL and database querying · Data visualization and reporting tools (e.g., Power BI) · Data analysis and statistical techniques · Artificial Intelligence (AI), GenAI, prompt engineering, and AI-assisted coding tools such as GitHub co-pilot, Claude code · Data preparation, transformation, and quality management Behavioral & Professional Competencies Learning Agility & Innovation · Curiosity and passion for learning new technologies, methodologies, and business concepts · Innovative mindset with the ability to challenge conventional thinking and propose new ideas · Adaptability in a fast-changing digital and data-driven environment Analytical Thinking · Strong analytical and problem-solving abilities · Sound numerical and quantitative reasoning skills · Ability to interpret data, identify trends, and generate meaningful insights Communication & Collaboration · Effective verbal and written communication skills · Strong interpersonal and teamwork skills Professionalism & Delivery · High attention to detail and commitment to accuracy · Strong sense of integrity, and confidentiality · Self-motivated and organized · Commitment to service excellence Preferred Attributes · Demonstrated interest in Data Analytics, Business Intelligence, Machine Learning, Artificial Intelligence, or Digital Transformation · Participation in data-related projects, hackathons, internships, research work, or student leadership initiatives An online portfolio (e.g., GitHub) or project work demonstrating technical proficiency Disclaimer ONLY SHORTLISTED APPLICANTS WILL BE COMMUNICATED TO. Zanaco provides equal opportunity in employment for all qualified persons and prohibits discrimination in employment (women are encouraged to apply). Application link: https://careers.zanaco.co.zm/jobs/b87dd8e8-9baf-4963-bbb2-f743a9f0eda1

Requirements

Requirements Education · Full Grade 12 Certificate with a Credit or better in five (5) subjects, including in English and Mathematics. · A Bachelor’s Degree in one of the following disciplines: Computer Science, Data Science, Data Engineering, Applied Statistics, Actuarial Science, Information Systems or any other quantitative, or technical discipline. Technical Skills Demonstrated knowledge or practical exposure in: · Python programming, SQL and database querying · Data visualization and reporting tools (e.g., Power BI) · Data analysis and statistical techniques · Artificial Intelligence (AI), GenAI, prompt engineering, and AI-assisted coding tools such as GitHub co-pilot, Claude code · Data preparation, transformation, and quality management Behavioral & Professional Competencies Learning Agility & Innovation · Curiosity and passion for learning new technologies, methodologies, and business concepts · Innovative mindset with the ability to challenge conventional thinking and propose new ideas · Adaptability in a fast-changing digital and data-driven environment Analytical Thinking · Strong analytical and problem-solving abilities · Sound numerical and quantitative reasoning skills · Ability to interpret data, identify trends, and generate meaningful insights Communication & Collaboration · Effective verbal and written communication skills · Strong interpersonal and teamwork skills Professionalism & Delivery · High attention to detail and commitment to accuracy · Strong sense of integrity, and confidentiality · Self-motivated and organized · Commitment to service excellence Preferred Attributes · Demonstrated interest in Data Analytics, Business Intelligence, Machine Learning, Artificial Intelligence, or Digital Transformation · Participation in data-related projects, hackathons, internships, research work, or student leadership initiatives An online portfolio (e.g., GitHub) or project work demonstrating technical proficiency Disclaimer ONLY SHORTLISTED APPLICANTS

How to apply

Salary: Not specified

Application link: Open the employer application page