Lead Decision Support Analyst (REMOTE)

Do you have a strong background in R language and data analytics? Would you enjoy data monitoring, application development and regression modeling to support the needs of the business? Are you looking for a position that is on the cutting edge of crafting health care solutions for our members? If so, read on and get ready to apply!

Job Summary

The Decision Support Analytics team resides within the Health Business' Enterprise Shared Services (ESS). Decision Support Analytics team members provide analytical and operational support to the core processes of ESS; 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.

What You Will Be Doing:

• 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 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 data sources within the Health Business; can 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.
• The essential functions listed represent the major duties of this role, additional duties may be assigned.

What You Must Have:

4+ years related work experience to include strong R programming skill

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.

What We Would Prefer You Have:

Knowledge of health insurance products, claims, and enrollment and billing.

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.

We are an Equal Opportunity/Protected Veteran/Disabled Employer committed to creating a diverse, inclusive, and equitable culture for our employees and communities.