Finance Data Analyst

5 days ago

Jurong, Singapore GECO Asia Full time

**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**:

- 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

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