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Data Analyst – Cloud Migration & BigQuery

FORFIRM
Lugano, TI

Candidatura rapida

Dettagli della posizione

100% | Orario di lavoro: 90-100%
CHF 70’000 - CHF 80’000 all'anno

Qualifiche

Oracle
Inglese
Google Cloud Platform
Master
SQL
Competenze analitiche
Bachelor
Italiano

Descrizione completa della posizione

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

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

Candidatura rapida

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