Underwriting & Actuarial Data Analyst I

• Data Management:

• Reviews data sources and preps needed data.

• Identifies existing and new data sources.

• Performs data prototyping, if necessary, to agree what data can/not be used.

• Preps data for use in analysis, goes back to source if problems are found, and identifies other options/alternatives if problems cannot be resolved.

• Performs review of data to ensure completeness/accuracy/timeliness for the purpose of the analysis.

• Maintains tables that are necessary for department or corporate reporting.

• Ensures existing, approved, corporate tools used can accept/integrate the data.

• Analytics and Technical Acumen:

• Performs required analysis, applies accepted statistical methodologies where applicable, and documents the process that was followed, and data sources/tools used.

• Determines what kind of analytics will be performed (descriptive, predictive, prescriptive) and defines/documents overall framework.

• Understands various internal and external data sources available; uses expertise to utilize the most appropriate data source.

• Utilizes appropriate tools to load, integrate, and analyze data.

• Conducts analysis and documents findings, identifies unexpected anomalies and root cause (if possible) and determines if analysis can continue, identifies alternatives if anomalies cannot be resolved.

• Ensures reproducibility of outcomes.

• Documents entire analysis process, including business problem, data sources, methods and tools used, project reference, and outcomes.

• Implements pre-emptive actions, where possible.

• Analytics/Reporting Tool Development & Training:

• Participates in the development and delivery of analytics/reporting tools for internal and external customers.

• Types of projects include the development and or maintenance of self-service reporting tools and regular or ad hoc reporting.

• Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- research new/other approaches to identify and agree upon objectives, approach, and success measures.

• Defines delivery milestones and negotiates timeframes, monitors progress and periodically notifies customer of status.

• Provides training to customers on new tools/reporting capabilities

• Effective Communication:

• Prepare/present findings that are informative and audience appropriate.

• Reviews findings and outcomes with customer, ensures business problem/objectives have been met, and prepares documentation of the analysis.

• Where necessary, manage divergent views in the audience and advises the internal/external customer on any recommendations or options that will facilitate data and analysis driven decision making.

• Prepares a presentation of the analysis, process followed and reviews it with the customer to ensure the results are audience appropriate.

• Performs all other miscellaneous responsibilities and duties as assigned or directed.

#LI-Hybrid

Qualifications

• Bachelor's degree and four years of related experience; or an equivalent combination of education and related work experience.

• Strong oral and written communicate skills.

• Strong understanding of data (types, content reliability, etc.).

• Strong problem solving and data collection, analysis, and interpretation.

• Strong understanding/use of dashboards, data visualization tools, and advanced and custom graphics.

• Basic knowledge of Microsoft Office applications. Including but not limited to Word, PowerPoint, Excel, and Outlook.

• Proficiency with OLAP tools and databases.

• Knowledge of one or more of the following: SQL, R or SAS/SPSS