Business Intelligence Intern

About the Role

Ryt Bank is seeking a highly motivated and enthusiastic Business Intelligence Intern to join our dynamic Data team. This role is designed for aspiring data professionals to gain hands-on knowledge , technical implementation, and business logic in a fast-paced and learning first environment.

You will work closely with experienced professionals to learn and contribute to how data is structured, interpreted to inform project next steps , and also to fully understand data workflow and impact . Our goal is for data to be a strategic asset to the bank and help make informed decisions with strong conviction.

We thrive on collaboration, innovation, and a shared commitment to excellence. You will be paired with a senior to internalize the overall functions of a data team, work out clear project scop e to enable end-to- end execution and contribute to a culture of continuous learning and technical excellence.

Key Responsibilities

Analytics & Decision Support

• SQL Mastery: Utilize your SQL knowledge to query and manipulate data, ensuring data accuracy and reliability while learning optimization techniques.
• Modern Engineering: Assist in building the e nterprise data reporting mart using the dbt /snowflake tool, gaining hands-on experience with modern data transformation.
• Da ta Visualization : Develop da ta visualization skills with exposure to dbt -integrated BI platforms to generate dashboards for key metrics monitoring.

Frameworks & Standards

• Problem Solv ing : Work closely with business and product owners to draft and refine dashboard requirements, learning how to translate needs into technical specs , learning to identify noise/signals
• Business Analysis: Ensure b usiness r equirement d ocuments accurately capture s business analytics and reporting needs .
• Metric Definitions: Learn and adopt the industry standards for data models and metric definitions used across the organization.

Delivery & Governance

• Data Mapping: Assist in data understanding and mapping exercises for the reporting data layer, helping to structure raw data into usable assets.
• Documentation: Create and maintain documentation to support data lineage, data dictionaries, and data transformation processes to ensure long-term knowledge retention.
• Quality Assurance: Learn how to ensure analytics outputs are well-governed and production-ready, moving beyond simple dashboard reporting.

Learning and Collaboration

• Cross-Functional Exposure: Shadow and collaborate with strategic partners ranging from engineers and data scientists to product managers.
• Hard and Soft Skills: Elevate your technical and analytical standards with mentorship from junior and senior analysts , get exposure in guided stakeholder management, presentation and C-suite ready communication techniques
• Active Learning: Elevate your personal technical and analytical standards by actively seeking mentorship from junior and senior analysts.

Qualifications

• Academic Relevance: Currently pursuing a Bachelor's or M aster's degree in computer science, Computer/Software Engineering or any related field .
• Technical Foundation: Exposure to SQL/Python through university coursework or personal projects, with a strong desire to master advanced modelling.
• Data Visualization: Academic or project experience in building charts and reports using Tableau, Power BI , or similar platforms.
• Communication Skills: A willingness to learn how to translate complex analysis into persuasive, strategic actions for executive stakeholders.
• Growth Mindset : A curiosity for difficult problems , open minded and focused on continuous improvement

Benefits

• Meaningful Guidance: Dedicated mentorship on how data and analytics are designed by seniors from multiple backgrounds and exposure
• Real-World Problems: Apply your classroom knowledge to real life problems across product, risk, and domains
• High-Growth Environment: A culture that values technical rigor and intellectual curiosity, where asking questions is encouraged (look up ‘obligation to dissent’)
• Strategic Insight: Build the future of digital banking in Malaysia and understand how data becomes a core strategic asset.

JR00000496