Data Analyst – Cloud Migration & BigQuery

Darum lohnt es sich

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.

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 Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field Specialization courses in data engineering, cloud computing, or analytics are a plus #J-18808-Ljbffr 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.

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).