Graduate Apprentice Trainee

Assist in developing and delivering digital solutions by applying analytics, automation, and data-driven approaches to improve business operations. Analyze both structured and unstructured data collected from various platforms to address complex business challenges and support informed decision-making. Create interactive dashboards, reports, and visualizations that present key business metrics, trends, risks, and performance insights for stakeholders. Perform data analysis to uncover actionable insights and explore opportunities to leverage Artificial Intelligence (AI), Machine Learning (ML), and big data technologies where applicable. Work closely with cross-functional teams to implement system enhancements, support change requests, and validate solutions through testing after deployment. Convert business requirements into meaningful analytical outputs, while helping teams adopt new digital tools, data-driven processes, and improved ways of working through effective communication and collaboration.

Strong understanding of SQL, Python, Artificial Intelligence (AI), Machine Learning (ML), and Microsoft Power Automate. Practical experience with data visualization platforms, particularly Power BI, with exposure to Qlik considered an added advantage. Solid foundation in data analysis, data science concepts, and interpreting complex datasets to support business decisions. Ability to extract, transform, and analyze data to generate meaningful insights and improve business performance. Familiarity with creating interactive dashboards, reports, and visualizations for effective data-driven decision-making. Good analytical, problem-solving, and communication skills with the ability to work efficiently in a collaborative environment.

Here's a copyright-free rewritten version: * Bachelor's degree in Computer Science, Information Technology, Data Science, Industrial Engineering, or a closely related discipline. * Suitable for recent graduates and early-career professionals who have gained practical exposure through internships, academic projects, certifications, or hands-on experience in data analytics, business intelligence, automation, dashboard development, or data-driven problem solving. * Candidates with a strong analytical mindset, a passion for technology, and an eagerness to learn modern data and automation tools are encouraged to apply.

Preparation Document : https://drive.google.com/file/d/1uVYRvEsxko72ivdjORN0KXyV7kpQJZSX/view?usp=sharing

1st : Written Test 2nd : Technical Round 3rd : Hr round