- 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
- 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…)
