Data Analyst / Cloud Migration | FORFIRM, Lugano

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

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

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