Underwriting & Actuarial Data Analyst I

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

Job summary

HMSA is seeking an Analytics Specialist to support Underwriting and Actuarial by clearly defining problems, preparing data, and applying statistical methods. You will analyze data sources, validate results, and present findings to drive organizational decisions with a strong focus on dashboards and data visualization.

The role requires collaboration across internal/external teams, strong problem-solving skills, and proficiency with data tools.

Qualifications

• Bachelor's degree and four years of related experience or equivalent.
• Strong oral and written communication skills.
• Strong data understanding and interpretation.
• Experience with dashboards and data visualization tools.
• Proficient in Microsoft Office including Excel, Word, PowerPoint.
• Proficiency with OLAP tools and databases.
• Knowledge of SQL, R or SAS/SPSS.

Responsibilities

• Data Management: review data sources, prep necessary data, ensure completeness/accuracy.
• Analytics and Technical Acumen: perform analysis, document methods and sources.
• Analytics/Reporting Tool Development & Training: develop and deliver analytics tools.
• Effective Communication: present findings, tailor to audience, document outcomes.
• Performs all other duties as assigned.

Skills

Oral & written comms

Data analysis

Dashboards

Data visualization

OLAP tools

SQL

R

SAS SPSS

Education

Bachelor's degree + 4 years exp

Tools

SQL

R

SAS/SPSS

Job description

Job Summary

**Hybrid Work Environment - Must reside on Oahu **

Employment Type

Full-time

Exempt or Non-Exempt

Exempt

Job Summary

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

Works independently with internal and external customers in support of the Underwriting and Actuarial departments to clearly articulate and define business problem(s) to be solved; reviews data sources and preps needed data; performs required analysis; applies accepted statistical methodologies where applicable; documents the process that was followed and data sources/tools used; ensures results have been validated (statistically, if necessary); and prepares/presents findings and or training that are informative and audience appropriate to drive decision making across various levels of the organization.

Minimum 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

Duties And Responsibilities

• 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.