Intern, Data Analytics (6 months)

HSO way of working In fulfilling our roles, we are Accountable for our own capabilities and development. Focused on delivering results without excuses, and Alive to the sensitivities, risk, and impact we have on others and work in a way that helps others do their work effectively. We are looking for people who See beyond self and impact focused. Consider the needs, challenges, and objectives of every person they interact with Exhibit positive reinforcement to help others succeed. Job Description About the role Job Title: Intern, Data Analytics Works closely with and have impact on: Finance, Supply Chain, Commercial, IT Reports to: Global FP&A Manager Function: Finance Work Location/Site : Singapore, Global Headquarter Internship Duration : Minimum 24 weeks Role Overview We are looking for an Intern with an interest in Data Analytics, Data Science, or Analytics Engineering to support the team in building scalable analytics solutions and improving reporting processes. This role sits at the intersection of FP&A, Data, and Technology, offering hands-on exposure to modern data platforms such as Microsoft Fabric, Power BI, and automation tools. The intern will work with real business datasets and contribute to building production-level data models and pipelines, following a structured Medallion Architecture (Bronze / Silver / Gold) approach. The end goal will be delivery of dashboards. Duties and Responsibilities Develop Power BI dashboards for business, financial, and operational reporting Apply and maintain Medallion Architecture principles (Bronze / Silver / Gold layers) Build Lakehouse / SQL Warehouse / Semantic Models for end-user consumption Perform ETL / ELT processes using Power Query, Dataflows, SQL, or Notebooks Develop data models (star schema) to support scalable and consistent reporting Identify and implement automation opportunities using Power Automate or Python Perform data analysis, communicate insights clearly, and support business decision-making Collaborate with stakeholders to understand requirements and translate them into data solutions Continuously learn and apply new tools and techniques to improve analytics Project-based 50%, Operational 30%, Ad hoc work 20% Requirements Experience No prior work experience required Relevant project work, internships, or portfolio (e.g., dashboards, data pipelines, automation) will be advantageous Skills/Accreditations Some tools, skills and experiences you will be working with: Power BI (DAX, data modelling) and Power Query (M) SQL (T-SQL) and/or Python (including PySpark) and/or Spark Scala Microsoft Fabric (Pipelines, Lakehouse, Semantic Models) Excel, Power BI and Analytics End Point Strong analytical thinking and structured problem-solving Ability to communicate insights clearly and logically Curiosity, initiative, and self-driven learning mindset Academic Qualifications Currently enrolled in an undergraduate or graduate program, in the field of Data Science, Data / Business Analytics, Computer Science, or a related discipline. Postgraduates with relevant experience are also welcomed.