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Data Analyst, Strategic Surveillance
3 months ago
The role
As a Data Analyst – Strategic Surveillance, you will be accountable for:
Scoping, identifying, and establishing data collections and analysis methodologies to support the achievement of regulatory outcomes, including risk-based surveillance and sector supervision. Delivering best practice data analytics and support that deliver influential regulatory outcomes. Identifying trends, patterns, and relationships from multiple data points with the ability to represent such findings as graphs, dashboards or similar. Identifying new methods to utilise data to deliver priorities, including effective collection, management, analysis, and communication of insights from data. Providing support and guidance for analytics projects including designing and advising on processes to collect, clean and explore data. Manipulating and combining multiple sources of data using available tools. Following the advice and guidance of senior team members when identifying issues and determining the most appropriate methodology for data analysis. Maintaining strong relationships with key stakeholders. Collecting and preparing accurate data for guidance and publication to internal and external stakeholders. Responding to requests for specific data and information in a timely and accurate manner. Utilising strategic, conceptual, analytical, investigative, and problem-solving skills as well as drawing on qualitative and quantitative data to reach robust and practical conclusions. Using business intelligence applications to create dashboards, reports, briefings, presentations, and data visualisations to communicating analytical findings.About you
Relevant tertiary qualification. Experience working in an analytics role, gained in a corporate, consulting, government or academic environment. Knowledge of Australian financial markets, and the regulatory environment from a regulatory, operations, risk, or consumer harm viewpoint. Knowledge or experience applying regulatory or professional judgement and scepticism including the identification and assessment of risks, problems, or issues. Ability to manage multiple stakeholders and projects and take responsibility for outcomes. Good verbal, written, analytical and presentation skills including data analysis and insight, and report writing. Strategic thinking, analytical, investigative and research skills, including data analysis and presentation. An understanding of the benefits in developing strategic relationships that partner to ensure the effective use of all available data and information opportunities. Conceptual, analytical, and problem-solving skills as well as drawing on qualitative and quantitative data and to reach robust and practical conclusions. Ability to think about and solve problems, coupled with strong business acumen. Experience in applying statistical or machine learning approaches.