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
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Inventory and document Oracle source data (schemas, tables, stored procedures, views)
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Perform data profiling to identify anomalies, duplicates, and inconsistencies
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Define logical data mappings from Oracle to BigQuery for each data domain
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Collaborate with data engineers on the definition of transformation rules
Validation & Quality Assurance
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Design and implement data reconciliation tests for pre- and post-migration phases
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Develop SQL / BigQuery SQL queries to compare source and target datasets
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Produce data quality reports covering completeness, accuracy, and consistency metrics
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Log and track data anomalies using issue-tracking tools
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Strong data modeling skills, including conceptual, logical, and physical design, with hands-on experience in normalization and dimensional modeling (star/snowflake schema).
Migration Support
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Actively participate in sprint planning and stand-ups with technical and business teams
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Support the migration of legacy reports into GCP-native tools (Looker, Looker Studio)
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Contribute to the definition of data governance standards and cloud best practices
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Document data transformation processes for knowledge transfer purposes
Personal Profile & Soft Skills
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Strong analytical mindset and attention to detail
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Ability to communicate complex data findings to non-technical stakeholders
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Operational autonomy and a proactive approach to problem-solving
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Good time management in multi-task and project-driven environments
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Team player: comfortable working in cross-functional IT/Business teams
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Flexibility and adaptability in contexts of technological change
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Language: Italian Native or Bilingual
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Language: English (written and spoken, minimum B2 level)
Education
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Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
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Specialization courses in data engineering, cloud computing, or analytics are a plus
