Lead Data Analyst | Sydney, Au

vor 23 Stunden

Sydney, Österreich Tideri Jobbörse Vollzeit

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Lead Data Analyst
Westpac Banking Corporation, Sydney, Australia
Permanent Hybrid Working Model How will I help?

As a Lead Data Analyst, you will play a critical role in supporting strategic decisions within our KYC / AML program.
Collaborating closely with Business Analysts, you will source, analyse, and present data to various stakeholders, helping to shape the future of the Westpac Group's financial crime profile.

Your primary goal is to deliver high-quality data insights and analytics that will enable effective decision-making.
You'll work in a dynamic environment, utilising your technical expertise to streamline processes, automate workflows, and enhance reporting accuracy.

You will also be coaching and leading a team of senior data analysts.

Key Responsibilities :
Collaborate with Business Analysts to define data requirements, source information from both standard and unconventional data environments, and deliver clear, actionable insights.
Translate complex business logic into maintainable SQL and Excel processes, ensuring all data outputs are accessible and understandable by non-technical teams.
Identify opportunities for automation and process improvement, leveraging your data expertise to increase business efficiency.
Prepare detailed status reports and provide data-driven analysis of program performance, presenting multiple approaches with associated pros and cons.
Take ownership of the technical solutions, overseeing data files for remediation purposes and conducting deep dives into data elements to assess impact.
Identify gaps in the current risk and compliance frameworks and recommend actionable improvements, with a focus on implementation.
Engage heavily with stakeholders, including leadership and cross-functional teams, to translate project requirements into effective data flows and reporting.
What do I need to succeed?

Extensive experience in data analysis, preferably in a financial crime or financial services setting.
Experience in large banks or specialised operations teams is highly valued.
Proficiency in SQL (Teradata experience is a plus) and experience in large-scale enterprise data warehouses.
Strong skills in data visualisation tools, particularly Power BI, to create meaningful dashboards and reports.
Exposure to working with complex business entities, such as Trusts and Partnerships, is a bonus.
Experience with the Control-M Automation API to automate scheduling processes and integrate with other enterprise systems.
Proven ability to develop and optimize automation scripts to streamline workflows, reduce manual interventions, and enhance efficiency.
Solid understanding of DevOps practices, leveraging tools like Jenkins, Ansible, and Git for pipeline automation and version control.
Hands-on experience in developing and deploying machine learning models for predictive analytics.
Familiarity with big data platforms (e.g., Hadoop, Spark) and cloud-based environments (AWS, Azure, or GCP).
Strong communication and presentation skills, with the ability to convey complex findings to non-technical stakeholders.
Start here.
Just click on the APPLY or APPLY NOW button.

At Westpac, we're all about creating a supportive culture and ensuring our workplaces, branches, products, and services are accessible and inclusive for everyone-our customers, employees, and the wider community.

If you're interested in discussing workplace flexibility, please feel free to mention it in your application.

We invite candidates of all ages, genders, sexual orientation, cultural backgrounds, people with disability, neurodiverse individuals, veterans and reservists, and Indigenous Australians to apply.

If you have questions about the recruitment process, please email
Do you need reasonable adjustments during the recruitment process?
We can provide reasonable adjustments for individuals with disability and/or neurodiversity.

If you require an adjustment to be made during the recruitment process at any stage, please email
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