OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD is hiring for a Financial Data Analyst (Data Reporting & SQL), contract role internship — a 12-month, on-site Data Science role based in CHANGI BUSINESS PARK CRESCENT, Singapore. It is an unpaid internship. It is open to university students, typically in Year 2–4. Applicants with experience in Liaising with cross functional teams, Market Trend Analysis, Business Intelligence, optimized SQL queries, and large datasets are a strong fit.
About this role
Our client, a global technology leader specializing in search, digital platforms, cloud computing, and data-driven innovation, is seeking a Financial Data Analyst/Product Analyst to support financial reporting and analytics through data extraction, SQL scripting, and reporting automation. This role will focus on generating and transforming large financial datasets, building SQL-based reporting solutions, and delivering actionable insights to support business and finance stakeholders. This is a fixed term contract ending on the 14 Dec 2026 with possibilities for extension thereafter Responsibilities • Extract, validate, and analyze financial data from databases, data warehouses, and ERP systems using SQL. • Write and maintain SQL scripts to support reporting, data analysis, and financial insights. • Interpret financial and operational data to identify trends, risks, and business opportunities. • Build and maintain dashboards and reports using BI tools such as Looker, Tableau, or Power BI. • Support recurring financial reporting, ad-hoc analysis, and reporting automation initiatives. • Partner with Finance and cross-functional teams to ensure data accuracy and deliver actionable insights. Requirements • Up to 6 years of experience in Financial Analysis, Product Analytics, FP&A Analytics, Financial Data Analytics, Business Intelligence, or related roles. • Advanced SQL skills with the ability to independently write and optimize complex queries and scripts. • Strong analytical skills with the ability to interpret data and translate findings into business recommendations. • Strong financial domain knowledge with experience analyzing P&L, revenue, costs, budgets, or financial performance metrics. • Proven experience extracting and working with large datasets from platforms such as BigQuery, Snowflake, SAP, Oracle, or similar. • Experience with Excel and BI tools such as Looker, Tableau, or Power BI.
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