Our organization is launching a strategic initiative to migrate its data infrastructure from an on-premise Oracle Database environment to Google Cloud Platform (GCP). The project involves consolidating legacy data warehouses re-architecting ETL/ELT pipelines and adopting cloud-native services such as BigQuery Cloud Storage and Dataflow.

The selected Data Analyst will be a key contributor across every phase of the migration lifecycle: from as-is data analysis of source systems through post-migration validation to supporting business teams in their transition to new cloud-based analytics tools.

Key Responsibilities

Data Analysis & Mapping

• Inventory and document Oracle source data (schemas tables stored procedures views)
• Perform data profiling to identify anomalies duplicates and inconsistencies
• Define logical data mappings from Oracle to BigQuery for each data domain
• Collaborate with data engineers on the definition of transformation rules

Validation & Quality Assurance

• Design and implement data reconciliation tests for pre- and post-migration phases
• Develop SQL / BigQuery SQL queries to compare source and target datasets
• Produce data quality reports covering completeness accuracy and consistency metrics
• Log and track data anomalies using issue-tracking tools

Migration Support

• Actively participate in sprint planning and stand-ups with technical and business teams
• Support the migration of legacy reports into GCP-native tools (Looker Looker Studio)
• Contribute to the definition of data governance standards and cloud best practices
• Document data transformation processes for knowledge transfer purposes

Personal Profile & Soft Skills

• Strong analytical mindset and attention to detail
• Ability to communicate complex data findings to non-technical stakeholders
• Operational autonomy and a proactive approach to problem-solving
• Good time management in multi-task and project-driven environments
• Team player: comfortable working in cross-functional IT/Business teams
• Flexibility and adaptability in contexts of technological change
• Proficient English (written and spoken minimum B2 level)

Education

• Bachelors or Masters degree in Computer Science Engineering Mathematics or a related field
• Specialization courses in data engineering cloud computing or analytics are a plus