GuideWell Logo

GuideWell

Data Analyst V – Operational Data Science

Posted 3 Days Ago
Remote
Hiring Remotely in United States
85K-137K Annually
Mid level
Remote
Hiring Remotely in United States
85K-137K Annually
Mid level
Perform advanced data extraction and statistical analysis using SQL, SAS, R or Python; develop reports, KPIs, and dashboards; mentor team members; communicate findings to business partners and support operational decision-making.
The summary above was generated by AI

Job Summary:
The Enterprise Operational Analytics team resides within the Florida Blue's Enterprise Operations (EO). Enterprise Operational Intelligence Analytics team members provide analytical and operational support to the core processes of EO; act as consultants and analytical support for the Enterprise; engage with Information Technology (IT) to define, prototype and operationalize business solutions. The Specialist V conducts statistical analysis and research on key business processes and operations at the business' request. Responsibilities will include building strong relationships with internal customers, developing custom reporting, metrics and key performance indicators integrating data from many sources, ensuring understanding and correct application of analysis and delivering presentations used to guide high-value decisions.

Essential Functions:

  • The essential functions listed represent the major duties of this role, additional duties may be assigned.  
  • 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.  

Required Experience:
4+ years related work experience. Experience Details: 
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.

Preferred Qualifications:
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.

 

General Physical Demands:
Sedentary work: Exerting up to 10 pounds of force occasionally to move objects. Jobs are sedentary if traversing activities are required only occasionally. 
What We Offer: 
As a Florida Blue employee, you will be at the heart of GuideWell’s vision – to lead the nation in transforming health through compassionate, connected, and technology-enabled care that delivers personalized value and empowered living. 
To support your wellbeing, comprehensive benefits are offered. As an employee, you will have access to: 
 

  • Medical, dental, vision, life and global travel health insurance;
  • Income protection benefits: life 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; and
  • A comprehensive wellness program

Employee benefits are designed to align with federal and state employment laws. Benefits may vary based on the state in which work is performed. Benefits for intern, part-time and seasonal employees may differ.
To support your financial wellbeing, we offer competitive pay as well as opportunities for incentive or commission compensation. We also conduct regular annual reviews with pay for performance considerations for base pay increases. 
Annualized Salary Range: $84,500 - $137,300
Typical Annualized Hiring Range: $84,500 - $105,600
Final pay will be determined with consideration of market competitiveness, internal equity, and the job-related knowledge, skills, training, and experience you bring.
We are an Equal Employment Opportunity employer committed to cultivating a work experience where everyone feels like they belong and can perform at their best in pursuit of our mission. All qualified applicants will receive consideration for employment.

Similar Jobs

12 Minutes Ago
Remote or Hybrid
United States
130K-150K Annually
Senior level
130K-150K Annually
Senior level
Consumer Web • eCommerce • Internet of Things
Founding commercial leader to build and close new business for DNSid within fintechs and payments. Lead full enterprise sales cycles, recruit design partners, and create repeatable sales playbooks. Drive long-term category development with banks and industry partners, represent the product at conferences, and influence product and go-to-market strategy through customer feedback. Collaborate cross-functionally with Product, Engineering, Marketing and Solutions to support deployments and scale commercial processes.
21 Minutes Ago
Remote
GA, USA
60K-100K Annually
Senior level
60K-100K Annually
Senior level
Productivity • Software • App development • Automation
Manage and develop a team of Lead Development Analysts while owning operational reporting, dashboards, forecasts, and performance analysis for License Management and License Audit. Ensure lead quality and sales-readiness, identify bottlenecks, maintain consistent metric definitions, and provide leadership with recurring reports, trends, and insights to drive capacity and process improvements.
Top Skills: AgplBusiness Intelligence ToolsCrm SystemsData Visualization ToolsExcelSalesforce
50 Minutes Ago
Remote or Hybrid
110K-145K Annually
Senior level
110K-145K Annually
Senior level
AdTech • Cloud • Digital Media • Information Technology • News + Entertainment • App development
Lead product management for enterprise GenAI and agentic AI solutions: define measurement frameworks, build analytics and dashboards, translate stakeholder needs into instrumentation and metrics, support agent operations, prototype agentic workflows, and deliver executive insights to improve agent performance and product outcomes.
Top Skills: AirtableAmplitudeConfluenceConversational AiExcelGenerative AiJIRALlmLucidchartMicrosoft WordOpentelemetry (Otel)Power BIPowerPointSharepoint

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account