Pharmacy Analytics Consultant Job Rochester area,City of Rochester New York USA,IT/Tech

Location: City of Rochester

Provide direct support for Pharmacy and Medical Drug information needs using analytic tools and applications
Work with internal and external stakeholders and management to achieve Pharmacy Markets strategy, growth, compliance, and affordability objectives
Analyze data to identify business problems, trends, and process-improvement opportunities
Provide consultation and analytic support for the Pharmacy Division, Health Plan departments, and external vendors
Research, analyze, and evaluate feasibility of new Pharmacy products and programs
Communicate health plan costs, utilization trends, and savings strategies to management, steering committees, and project sponsors
Develop and deliver actionable insights to enterprise stakeholders
Conduct comparative pricing analyses for pharmacy benefit Requests for Proposal with Sales, Finance, and Actuarial
Support strategy development and innovative programs aligned with enterprise and pharmacy goals
Support compliance with governmental, contractual, and corporate guidelines and participate in CMS and DOH compliance audits
Develop standardized reporting and processes
Compile and process complex datasets and provide user-friendly, actionable insights
Collaborate with Business Intelligence teams to develop automated reports, dashboards, and cubes
Engage external partners and customers, including employer groups, brokers, consultants, providers, and vendors
Create strategies to reduce healthcare costs
Manage multiple projects with competing deadlines
Collaborate with team members and support their growth and development
Investigate data issues and proactively communicate concerns to management and business partners
Level II: train and mentor analysts, serve as a subject matter expert, and develop data strategies and process efficiencies
Level III: optimize reporting tools, connect claims and healthcare management data, and develop predictive cost-savings models with Data Science
Level IV: recommend advanced analytic models, perform data mining, conduct complex performance analysis, improve visual analytics, interpret model outputs, assess analytic product upgrades, and prepare studies for publication or national meetings
Maintain member privacy, uphold the Corporate Code of Conduct and Lifetime Way values, and meet attendance requirements

Requirements

Bachelor’s degree in Mathematics, Statistics, Medical Informatics, Economics, or related field preferred; alternatively, two (2) related years’ experience in data or information analyses and reporting
Knowledge and applicable use of analytic tools including SAS, Cognos, Excel, Access, SPSS, Data Flux, AQT, WinSCP, and PuTTY
Proficiency in SAS and/or Cognos and Microsoft tools
Working knowledge of Microsoft Office Suite
Knowledge of basic statistical concepts and strong analytical and problem-solving skills
Ability to simplify complex datasets for varied audiences through visual interpretation and highlighting impactful data points
Intermediate understanding of healthcare products and operational business knowledge
Demonstrated analytic abilities and ability to complete projects with minimal supervision
Knowledge of the healthcare system and experience with physician or hospital claims/group data preferred
Excellent oral and written communication skills
Ability to work collaboratively with internal and external customers and business partners
Level II: minimum three years’ analytic experience in the healthcare industry
Level II: ability to work with datasets of 2TB or greater and integrate structured and unstructured data across multiple sources
Level II:
Microsoft Office Suite, VBA, SQL, Power Play, Impromptu, and moderate SAS proficiency
Level III: minimum five years’ experience using statistical concepts and tools
Level III: demonstrated expertise in relational databases, data mining, forecasting, predictive modeling, and/or actuarial techniques
Level IV: minimum three years’ healthcare-specific predictive modeling experience or seven years’ experience in health informatics
Level IV: ability to create, develop, and validate models independently
Level IV: SAS Base Certification required
Level IV: advanced analytic software programming proficiency,…