Corporate Advanced Analyst

Hybrid Work Environment - Must reside in Hawaii

Pay Range: $59,000 - $116,000

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

Works independently with internal and external customers 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 that are informative and audience appropriate to drive decision making across various levels of the organization.

• Bachelor's degree and four years of related experience or two years of Healthcare Analytics experience; or an 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 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

• 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.
    • Ensures existing, approved, corporate tools used can accept/integrate the data.
    • Where necessary (and if practical to be done within the delivery timeframe of a project), facilitates the identification and use of new tools and works with the Technical Review Committee to authorize its use.
• 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.
    • Where appropriate, applies linear regression (correlation, contingency table, ANOVA, inference, chi-square, t-test) and/or time series methods (data set‑up, conversions, trends, decomposition, models, forecasts, confidence).
    • 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.
• Project Definition and Coordination:
  • Lead meetings with internal and external customers to clearly articulate and define business problem(s) of medium/high complexity and impact (department/function specific, external customer centric, or part of a corporate project).
    • Types of projects include descriptive and predictive analytics.
    • Applies a whole company perspective, draws upon previous knowledge and experience, and -- where necessary -- researches new/other approaches to identify and agree upon objectives, approach, and success measures.
    • Works with customer to submit appropriate paperwork…