Data Migration Analyst: SQL, Python, Remediation

Outsized; Sydney; Hybrid; AUD 90,000 - 120,000; Full time

Job summary

Outsized is seeking a Data Analyst to support the data remediation stream of a major migration program in Sydney. You will analyse customer and merchant data, identify anomalies and translate findings into business rules and system logic.

The role involves working across business, technology, operations and vendor teams to shape decisions and governance. You will automate pipelines using Python and SQL and build real-time dashboards with Power BI/Tableau/Streamlit, enabling stakeholders to track

Qualifications

• 2-4 years' experience as a Data Analyst or Analytics Specialist in financial services.
• Proven experience supporting data migrations, system transitions or remediation programs.
• Experience in regulated environments with strong data controls.

Responsibilities

• Conduct deep-dive analysis of customer, merchant, transaction and product data to support migration readiness.
• Analyse data anomalies, cluster issues, and uncover root causes and patterns.
• Lead data mapping between legacy and target systems and validate migration input files.
• Collaborate with business and technology SMEs to shape decisions and rules for exceptions.
• Produce artefacts like decision papers and remediation prioritisation.
• Automate data processing pipelines and reporting workflows using Python and SQL.
• Develop migration tracking tools and dashboards (Power BI, Tableau or Streamlit).
• Partner with product, operations, vendors, risk and data management teams for governance.

Skills

SQL

Python

Data Analysis

Data Visualisation

Job description

Outsized is seeking a Data Analyst to support the data remediation stream of a major migration program in Sydney. You will analyse customer and merchant data, identify anomalies and translate findings into business rules and system logic.

The role involves working across business, technology, operations and vendor teams to shape decisions and governance. You will automate pipelines using Python and SQL and build real-time dashboards with Power BI/Tableau/Streamlit, enabling stakeholders to track