Finance Data Analyst

Singapore, Singapore

Key Responsibilities

  • Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
  • Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
  • Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
  • Enhancements: Identify opportunities for process improvement and operational efficiency
  • Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

Skills & Qualifications

  • BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
  • 2-4 years of financial/business/data analyst experience
  • Knowledge of accounting principles, financial statements, and financial modelling
  • Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
  • Knowledge of SQL and working with large datasets
  • Experience with data analytics tools and languages (R, Python…)
  • Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)

Secondary Skills:

  • Experience building/applying statistical and/or machine learning solutions to solve business problems
  • Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity
  • Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
  • Strong verbal and written communication skills with ability to articulate results of analysis in business terms
  • Confirmed ability to conduct complex, data driven analysis
  • Ability to work independently and collaboratively in a fast-paced environment
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis


Finance Data Analyst

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Finance Data Analyst

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