Top Data & Analytics Jobs

Lead design and improvement of product monitoring: triage alerts, analyze metrics and trends, investigate exceptions, build monitoring tests, create dashboards (Grafana/Power BI), perform deep-dive analyses using R/Python, and drive monitoring observability and tooling enhancements.

Support Consumer Interactive analytics by building and maintaining BI reports and dashboards, investigating operational and compliance issues using data, validating data quality, performing root-cause analyses, and presenting insights to stakeholders to drive decisions and improve reporting governance.

The Data Scientist role focuses on developing analytic solutions for financial services clients, involving programming, statistical analysis, and project management to address credit risk and business intelligence needs.

The Developer - Digital Onboarding will configure and support digital onboarding products by translating client requirements into system configurations, ensuring quality delivery and operational excellence.

As a Custom Analytics Manager II, you will lead a team in developing analytics solutions, overseeing predictive modeling, collaborating with stakeholders, and presenting insights to clients.

Serve as a technical data liaison to gather and translate business and technical requirements, acquire and validate multi-source data, manage concurrent data workflows for global clients, troubleshoot data quality issues, develop and maintain data stack and curation solutions, and collaborate with cross-functional teams to deliver scalable data solutions.

The Analyst will leverage data analytics to produce actionable insights and presentations, support key client relationships, and manage projects within Argus Australia's team.

The Data Scientist will analyze financial data, develop predictive models, and communicate insights to drive business initiatives in financial services. Responsibilities include mentoring junior staff and collaborating with cross-functional teams to enhance analytic products.

Lead strategy and planning for global Analytics Enablement, owning the 3-year strategic plan, revenue forecasts, corporate reporting, and cross-functional initiatives. Drive market intelligence, financial models, prioritization, and program management to support product growth, investments, and go-to-market activities while partnering with business and market leaders.

Lead development of credit risk and business intelligence analytics for financial clients. Design and deliver descriptive, predictive, and prescriptive analyses (segmentation, regression, survival, PCA, ML), extract and manipulate large datasets, present insights to executives, and mentor junior analysts while managing project deliverables.