Data Analyst Intern

About Us:At Qoala, we are revolutionizing the insurance and fintech industry with innovative technology solutions. As a leading Insurtech platform in Southeast Asia, we are committed to providing seamless digital experiences for our customers and partners. We pride ourselves on fostering a dynamic, inclusive, and collaborative work environment where creativity, growth, and continuous learning are highly valued and encouraged.About the Role:As a Data Analyst Intern, you will assist in transforming raw data into clear, actionable insights to support strategic decision-making across our business and product teams. You will play a supporting role in defining key performance metrics, building data visualizations, and conducting initial data analysis. This internship is an excellent opportunity for you to develop your analytical skills, gain hands-on experience with SQL and data visualization tools, and understand the core principles of data-driven business strategy. You will be mentored by experienced Data Analysts and contribute directly to impactful projects. This role is ideal for students or recent graduates with foundational knowledge of statistics, basic SQL, and a strong passion for finding stories within data.What You’ll Do:As a Data Analyst Intern, you will be responsible for supporting the team in the following areas:Assisting in the identification and definition of key performance metrics (KPIs) relevant to business and product goals. Supporting the development and maintenance of basic reports and dashboards using data visualization tools. Performing preliminary data analysis to generate initial insights and recommendations. Assisting in the preparation and monitoring of simple experimentation and A/B tests. Cleaning and organizing data to ensure accuracy and readiness for analysis. Collaborating with other team members to understand data requirements and deliver on requests. Requirements:Currently pursuing or recently completed a Bachelor's degree in Computer Science, Statistics, Mathematics, Business Administration, or a related field. Basic proficiency in SQL is required. Familiarity with data visualization tools (e.g., Tableau, Looker, or Power BI) is a plus. Foundational knowledge of database structures and data warehousing concepts. Strong analytical and data-driven mindset, with enthusiasm for problem-solving. Excellent communication and interpersonal skills. Eagerness to learn and a proactive attitude towards seeking out new technologies and analytical methodologies.