Senior Claims Data Analyst
Employment Info
JOB DETAILS
Requirements
- A tertiary qualification at Bachelor level or higher in Statistics, Mathematics, Data Science, Applied Finance, or a closely related quantitative discipline with a strong emphasis on data science, statistical theory and methods.
- Experience in statistical analysis, data modelling, or quantitative analysis roles, with demonstrated application of statistical methodologies to real-world datasets.
- Proven experience in selecting, applying, and validating statistical models, including regression analysis, hypothesis testing, time series analysis, and distributional modelling.
- Demonstrated experience in designing analytical approaches, defining data requirements, and assessing data quality, reliability, and limitations.
- Experience translating statistical findings into actionable insights and communicating complex analytical outcomes to both technical and non-technical stakeholders
- Experience with analytical and reporting tools such as Excel, Power BI, or statistical programming environments (R or Python).
Responsibilities
- Engage with clients to define analytical objectives, scope statistical investigations, and translate business problems into statistically valid analytical frameworks.
- Advise clients on the collection of claims-related data, reviewing current collection practices to ensure key-data points are appropriately mapped and tracked in light of the clients risk profile and business objectives.
- Design statistical approaches to data collection and study structures ensuring alignment between business questions, sampling approaches, and analytical validity.
- Communicate complex statistical findings in a clear and structured manner to enable the clients informed decision-making.
- Translate complex analytical findings to clients through reports, dashboards, and presentations tailored to both technical and non-technical audiences.
- Act as a subject matter expert in statistical analysis within the team.
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