Data Analysis - Oracle
Melbourne, Victoria, Australia
AUD 92K-120K (estimate) Mid-level Full Time
Tasks
- Cleanse and prepare data for analysis
- Collect process and analyze large datasets to identify trends and insights
- Create data models and database structures for reporting
- Design and implement ETL processes for data migration
- Develop and maintain dashboards, reports, and visualizations
- Draft data migration strategies and mapping from source to target
- Generate ad-hoc reports and presentations
- Monitor and evaluate KPI performance and recommend optimizations
- Perform statistical analysis and validate findings
- Test migrated data for completeness and accuracy
Perks/Benefits
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Data Lake | Azure SQL | Azure SQL Database | Data Factory | Data Lake | Data Management | Data Migration | Data Modeling | Data Quality | Data Vault | Data Vault Modeling | Data integration | Data profiling | ETL | Information Governance | Kimball methodology | Master Data | Master Data Management | Microsoft SQL | Microsoft SQL Server | Oracle RDBMS | Performance Tuning | Power BI | Power Platform | QlikView | Query Performance Tuning | Query performance | SAS | SQL Database | SQL Indexing | SQL Server | SQL stored procedures | SQL views | SSAS | SSIS | SSRS | Stored Procedures | T-SQL | Tableau | Vault modeling
Education
N/A
Roles
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