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Data Analyst (SQL, Excel, Python)

Ingrity • 🌐 In Person

In Person Posted 2 days, 16 hours ago

Job Description

Contract

Sydney

We're looking for a

Data Analyst

with strong analytical capability and a pragmatic mindset to support critical data initiatives. This program is a great opportunity to be part of a large-scale transformation initiative focused on simplifying platforms, strengthening data integrity, and delivering better outcomes for customers and regulators.

This role is ideal for an analyst who enjoys working with complex datasets, partnering with stakeholders, and driving clarity in environments where

data quality, accuracy, and trust really matter

.

The Role

Analyse large, complex datasets using SQL, Excel, and Python to support decision-making

Perform data validation, reconciliation, and quality checks across multiple systems

Identify data issues, inconsistencies, and gaps — and work through solutions with technology, risk, and business teams

Support reporting and insights for senior stakeholders, ensuring data is accurate, traceable, and fit-for-purpose

Contribute to data remediation activities where required, including impact analysis, correction logic, and validation of fixes

Document findings, assumptions, and outcomes to support governance, audit, and regulatory expectations

Skills/Experience Required

Strong hands-on experience with SQL (complex queries, joins, reconciliations)

Advanced Excel skills (large datasets, formulas, reconciliation models)

Working experience with Python for data analysis, validation, or automation

Solid understanding of data quality, data integrity, and analytical best practices

Ability to explain data findings clearly to both technical and non-technical stakeholders

Experience working in large, complex organisations or enterprise programs is highly regarded

Bonus points for

Previous data remediation experience (e.g. fixing historical data issues, audit responses, regulatory programs, migrations)

Exposure to financial services, banking, or regulated environments

Experience reconciling data across multiple source systems

Familiarity with governance, controls, or risk-led data work

The Opportunity

Be part of a high-profile transformation program with real customer and regulatory impact

Work on meaningful data challenges where accuracy and integrity matter

Collaborate with experienced analysts, engineers, and domain experts

Gain exposure to enterprise-scale data environments and complex problem-solving

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