Data Analyst – Cloud Migration & BigQuery

FORFIRM; Lugano; Vor Ort; CHF 90.000 - 120.000; Vollzeit

Zusammenfassung

FORFIRM is migrating its data infrastructure from an on-prem Oracle environment to Google Cloud Platform (GCP), including BigQuery, Cloud Storage, and Dataflow. The Data Analyst will drive as-is data analysis, post-migration validation, and support business teams adopting cloud analytics tools such as Looker and Looker Studio.

You will define data mappings, collaborate with data engineers on transformation rules, and design quality assurance tests across the migration lifecycle with strong data

Qualifikationen

• 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.
• Experience with data engineering, cloud computing or analytics is a plus.

Aufgaben

• Data Analysis & Mapping: inventory and document Oracle source data, perform profiling, define logical mappings from Oracle to BigQuery, collaborate on transformation rules.
• Validation & Quality Assurance: design data reconciliation tests, develop SQL/BigQuery queries, produce data quality reports, track data anomalies, model data (star/snowflake).
• Migration Support: participate in sprint planning, support migration of legacy reports to GCP-native tools (Looker, Looker Studio), contribute to data governance standards and documentation.

Kenntnisse

Analytical mindset

Attention to detail

Communication

Autonomy

Time management

Team player

Problem-solving

Ausbildung

Bachelor's in CS/Engineering/Math

Master's degree (plus)

Tools

BigQuery

SQL

Looker Studio

Looker

Jobbeschreibung

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