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
Strong data modeling skills including conceptual logical and physical design with hands-on experience in normalization and dimensional modeling (star/snowflake schema).
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
Language: Italian Native or Bilingual
Language: 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
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 a...
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
Strong data modeling skills including conceptual logical and physical design with hands-on experience in normalization and dimensional modeling (star/snowflake schema).
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
Language: Italian Native or Bilingual
Language: 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