Tech Stack
ERPETLMySQLOraclePythonSparkSQLVBA
About the role
- Design, implement, and optimize ETL pipelines using Power BI (Power Query, Dataflows) and Python to extract, transform, validate, and integrate data from diverse sources
- Develop, automate, and deploy continuous improvement initiatives using Microsoft 365 platforms such as Power BI, Power Apps, Power Automate
- Leverage SQL and data analytics to extract, transform, and analyze large-scale datasets from ERP systems, data lakes, and external platforms to enable tax compliance and reporting insights
- Design, develop, and maintain dynamic tax data dashboards, visualizations, and reports using Excel (Power Query, VBA) and Power BI (DAX, Power BI Service)
- Document and standardize data processes to support business continuity and project implementation
- Collaborate with cross-functional teams to support and enhance tax technology solutions aligned with compliance requirements
- Conduct User Acceptance Testing (UAT), system demonstrations, and formal handovers prior to deployment
- Act as a key driver in implementation of business process improvements and Operational Excellence best practices
Requirements
- MBA/BCS/BBA/IT with minimum 5 years of work experience in systems and process improvement projects
- Strong expertise in Microsoft 365 applications, including advanced proficiency in Excel (Power Query, VBA/Macros, DAX), SharePoint, Power BI, PowerApps, and Power Automate
- Hands-on experience with MySQL and Python for extraction, transformation, and processing of large-scale datasets
- Experience with query languages such as SQL and Spark SQL, and data integration frameworks and ETL automation tools
- Solid understanding of data modeling principles (star schema design, normalization) and data warehouse architecture/performance optimization
- Familiarity with enterprise tax systems (OneSource, Vertex, SAP, Oracle) is a plus
- Proven track record of meeting deadlines
- Excellent written and verbal communication skills
- Results-oriented with a sense of urgency
- Self-motivated and able to work with less supervision
- Strong analytical and problem-solving skills with attention to data accuracy
- Ability to collaborate with cross-functional teams and work with all levels of the organization
- Best practice and process improvement mindset