Daniel L. Email and Phone Number

• Lead data innovation and modernisation within the Remuneration & Benefits team.• Create, maintain, and distribute interactive PowerBI reporting on people analytics such as headcounts, attrition rates, and gender pay gap. Key stakeholders utilise the reports to drive HR decision making and operational efficiencies.• Work closely with senior executives and payroll to facilitate the end-to-end delivery of the annual salary review and super guarantee increase processes. Lead a complete revamp of the salary review data processes in Q1 2023, resulting in the payroll turnover time being halved.• Continuously enhance business analytics and reporting via improvements to processes, systems and outputs.• Manage data collation from operating business units for workforce related submissions to external parties such as WGEA and Australian Bureau of Statistics.• Mentor graduates on data tools and best practice.

• Translated business requirements into complex SQL queries to manipulate and extract large volumes of healthcare data. • Managed multiple senior external customers and built relationships for business growth and retention. • Identified, analysed, and interpreted trends to gain performance related insights and relay actionable recommendations to clients. • Used Power BI and Microsoft Excel to generate insightful dashboards and communicate results to non-technical stakeholders. • Identified inefficiencies within the analytics process and worked to streamline and improve the way the team operates. • Performed peer reviews to ensure consistency of data quality and governance. • Managed the design, development and deployment of educational healthcare messaging using advanced patient selection algorithms.

• Analysed, modelled and visualised mortality data for project performance analysis.• Cleaned and processed large, disconnected datasets through SQL and Excel.• Built Power BI dashboards to extract insights and communicate results to senior management and non-technical stakeholders.• Developed internal checks and process improvement documents.• Developed an in-depth knowledge of the intricacies of reinsurance and insurance.

• Processed and completed regular checks on client data through Excel and communicated queries with clients.• Cleaned and formatted client data for modelling of liabilities, capital requirements and earnings.• Calculated daily collateral calls and agreed collateral transfers with clients.• Carried out mortality data analysis. • Lead the initial onboarding and testing of a new data processing platform.