About the Role

The Assistant Director Data Analytics involves resolving issues and managing risks across various substantial activities with significant detail. The position requires leadership, control, planning, resource management, performance management, and decision-making for the team and assigned contractors.

The role involves complex problem-solving and issues management, requiring sound decision-making and judgment to provide high-level policy advice and operational support. The successful candidate will manage key internal and external stakeholder relationships and, when necessary, represent and negotiate on behalf of the organization.

Responsibilities:

• Collaborating across the department, group, and broader business to identify initiatives that support better practices through ongoing design and review of compliance responses.
• Implementing these initiatives within evolving analytics platforms, including technology upgrades related to fraud management programs.
• Conducting extensive data analysis using analytical and statistical techniques to uncover actionable insights and support initiative implementation.
• Maintaining knowledge of business areas, including context, goals, and key performance indicators.
• Collaborating on policy and procedure development, including compliance with data governance and coding standards.
• Preparing high-quality written material based on evidence-based analysis for various internal and external stakeholders, including executive and board committees.
• Monitoring and developing less experienced team members.

Essential Criteria:

• Relevant qualifications in Data Science, Mathematics, Statistics, or equivalent experience.
• Strong programming experience, with high competency in:
  • Essential: SAS (Base, EG) and/or SQL.
  • Preferred: Python, R, experience with SAS Viya.
• Experience in developing, optimizing, and maintaining analytical code, with awareness of cost implications in cloud environments.
• Competency with systems, software, and programs, including Excel.
• Experience working in cloud Data Lake and/or EDW environments, including interpreting data models and specifications.
• Experience in data manipulation and analysis, including statistical, data science, and machine learning techniques and concepts.

Desirable Criteria:

• Previous experience in fraud analytics.
• Knowledge of data governance in a cloud environment.
• Experience with SAS Viya.
• Understanding of relevant legislation, rules, and operational guidelines.
• Familiarity with compliance standards and practices.
• Ability to interrogate customer record management systems.

Catalin Ivan
Senior Consultant

ManpowerGroup is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds, including people with a disability. Please indicate your preferred method of communication in your resume and please let us know if you require any reasonable adjustments should you be contacted for an interview.

Aboriginal and Torres Strait Islander people are encouraged to apply.

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Experis Pty Ltd is a wholly owned subsidiary of ManpowerGroup

State: QLD, licensee/s Manpower Services (Australia) Pty Ltd, LHL-02026-D5L4Q. State: QLD, licensee/s Experis Pty Ltd, LHL-02014-Y5F6D. State: SA, licensee/s Manpower Services (Australia) Pty Ltd, LHS 288856