Data Analytics Lead

1 week ago

Canberra, ACT, Australia Experis ManpowerGroup Sp. z o.o. Full time
About the Role

The Assistant Director Data Analytics is a key leadership position that involves resolving complex issues and managing risks across various substantial activities with significant detail. The role requires strong leadership, control, planning, resource management, performance management, and decision-making skills to drive the team and assigned contractors towards achieving business objectives.

The successful candidate will be responsible for complex problem-solving and issues management, requiring sound decision-making and judgment to provide high-level policy advice and operational support. The role involves managing key internal and external stakeholder relationships and representing the organization when necessary.

Key Responsibilities:
  • Collaborate with the department, group, and broader business to identify initiatives that support better practices through ongoing design and review of compliance responses.
  • Implement these initiatives within evolving analytics platforms, including technology upgrades related to fraud management programs.
  • Conduct extensive data analysis using analytical and statistical techniques to uncover actionable insights and support initiative implementation.
  • Maintain knowledge of business areas, including context, goals, and key performance indicators.
  • Collaborate on policy and procedure development, including compliance with data governance and coding standards.
  • Prepare high-quality written material based on evidence-based analysis for various internal and external stakeholders, including executive and board committees.
  • Monitor and develop less experienced team members.
Essential Criteria:
  • Relevant qualifications in Data Science, Mathematics, Statistics, or equivalent experience.
  • Strong programming experience, with high competency in SAS (Base, EG) and/or SQL.
  • 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

Experis ManpowerGroup Sp. z o.o. is committed to being a Diversity Confident Recruiter and encourages applications from people from a diverse range of backgrounds.

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