Note: The job is a remote job and is open to candidates in USA. GuideWell, through its Florida Blue business, provides health insurance and technology-enabled care services. The Data Analyst V – Operational Data Science role supports enterprise operations through advanced statistical analysis, data extraction, reporting, metrics development, and operational intelligence. The position also serves as a data subject matter expert, mentors team members, and presents analytical insights to guide high-value business decisions.
Responsibilities
- Writes advanced programs for data extraction using SQL; joins multiple tables together, uses complex subqueries and aggregates data to eliminate the need for manual manipulation
- Reverse-engineers existing programs in order to understand and document the rules behind data extraction
- Makes use of advanced SAS, R, Python or related programming skills to manipulate and analyze very large datasets, prototype complex operational reports, run simulations and/or statistical analysis, and turn Big Data into business-consumable metrics
- Proactively seeks training and builds knowledge/experience of tools, languages and data sources
- Analyzes data and applies advanced statistical tools and techniques to derive insights and identify areas of opportunity
- Produces advanced spreadsheets, documents and presentations that are easy to follow (e.g. Excel and PowerPoint)
- Initiates and participates in the peer reviewing of work to ensure the quality of deliverables; leads peer review sessions for major deliverables
- Serves as a resource and subject matter expert for one or more datasources within the Health Business; is able to provide advice and guidance on the proper use of data
- Provides guidance and mentorship to other team members
- Assists in the analysis, mapping and documentation of processes and programs in achieving stated goals. Provides recommendations if corrections are needed
- Engages in long-term mentorship and development of other team members as required
- Communicates effectively with internal customers and business partners; able to present and communicate analysis results to the business
Skills
- 4+ years related work experience
- Related Bachelor's degree or additional related equivalent work experience
- Strong analytical and critical thinking skills
- Bachelor's degree required; Master's degree preferred
- Experience working with and applying statistical methods and tools
- Extensive experience writing SQL, SAS, R or related code
- Previous experience teaching, mentoring or coaching analytical resources
- Proficient with Microsoft Office products
- Ability to manage tasks independently, take ownership of responsibilities and meet deadlines
- Strong written and oral communication skills
- Applied experience with predictive or statistical modeling techniques (regression, classification, forecasting) in a business setting
- Experience with a visual analytics tool such as Tableau or Microsoft PowerBI
- Exposure to machine learning concepts or techniques, even in an academic, coursework, or early-career capacity
- Interest in growing into more advanced modeling and predictive analytics work as part of long-term role development
- Bachelor's degree in Business Analytics, Health Economics, Statistics, Engineering, Mathematics, Computer Science, Data Science or related field
- Master's degree in a related field
Benefits
- Remote work arrangement
- Medical, dental, vision, life and global travel health insurance
- Short- and long-term disability programs
- Leave programs to support personal circumstances
- Retirement Savings Plan including employer match
- Paid time off, volunteer time off, 10 holidays and 2 well-being days
- Additional voluntary benefits available
- A comprehensive wellness program
- Opportunities for incentive or commission compensation
- Regular annual reviews with pay for performance considerations for base pay increases
Company Overview
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