The Decision Support Analytics team resides within the Health Business’ Enterprise Shared Services (Transformation Office). Decision Support Analytics team members provide analytical and operational support to the core processes of the Transformation Office (TO); act as consultants and analytical support for the Enterprise; engage with Information Technology (IT) to define, prototype and operationalize business solutions. The Data Science 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.

• 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 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.