Underwriting & Actuarial Data Analyst II

HMSA; Honolulu (HI); Hybrid; USD 59,000 - 116,000; Full time

Job summary

HMSA is seeking a data analytics professional to drive data-driven insights in a hybrid Honolulu setting. The role focuses on data management, analytics, and tool development to support internal and external reporting and decision making.

The candidate will lead data preparation, apply statistical methodologies, and ensure reproducibility of outcomes while maintaining documentation of processes and findings. Strong communication and dashboard skills are required.

Qualifications

• Bachelor's degree and five (5) years of related experience or equivalent combination of education and related work experience.
• Strong oral and written communication 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 Word, PowerPoint, Excel, and Outlook.
• Proficiency with OLAP tools and databases.
• Knowledge of SQL, R or SAS/SPSs.

Responsibilities

• Data Management: Reviews data sources and preps needed data; identifies issues, limitations, and risks with data sets/reports.
• Identifies existing and new data sources.
• Performs data prototyping to agree what data can/not be used.
• Preps data for use in analysis and resolves problems with source data.
• Performs data quality review for completeness/accuracy/timeliness.
• Maintains tables for reporting.
• Ensures data tools can accept/integrate the data.
• Works with external data contacts to resolve data delivery issues.

Skills

Data analysis

Dashboards

Data visualization

SQL

R or SAS

OLAP tools

Excel

Communication

Education

Bachelor's degree

Tools

OLAP tools

Microsoft Office

Job description

Job Summary

Hybrid Work Environment - Must reside on Oahu

Employment Type

Full-time

Exempt or Non-Exempt

Exempt

Pay Range

Pay Range: $59,000 - $116,000, position is eligible for an incentive bonus

Note: Individuals typically begin between the minimum to middle of the pay range

Minimum Qualifications

• Bachelor's degree and five (5) 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

Duties and Responsibilities

• Data Management:
  • Reviews data sources and preps needed data. Identifies and communicates issues, limitations, and risks with data sets/reports.
  • 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.
  • Works with external data contacts to resolve issues related to the delivery or receipt of 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. Consults with customers on the appropriate analytical approach, identifies benefits/risks, and makes appropriate suggestions to arrive at the desired outcome.
  • 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.
  • Gains the needed skills/knowledge when new technologies arrive and provides translation between old and new.

Analytics/Reporting Tool Development & Training

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

Types of projects include the development, maintenance, and enhancements 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.

Gathers customers requirements and translates them into actionable analytics and reporting tools.

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.