jobs in OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

全职 Financial Data Analyst (Data Reporting - SQL), contract role 工作, 薪水 up to SGD 6,500, OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD East Region (Singapore) 公司招聘中 - Ricebowl

Financial Data Analyst (Data Reporting - SQL), contract role

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD

SGD6,500 - SGD6,500 每月

East Region (Singapore)

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工作地点

  • 1 CHANGI BUSINESS PARK CRESCENT East Region (Singapore) Singapore

职位描述

岗位职责

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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