Excellus BCBS
Pharmacy Analytics Consultant I/II
Rochester, New York, United States of America · Mid
Sponsorship not specifiedDetected 35 days ago
SQLData AnalysisData ScienceStatisticsForecastingExcelSASSPSSResearchLeadershipCommunicationProblem SolvingMentoringAdaptabilityMicrosoft OfficeActuarial Science
About the role
- Analyzes data to determine business problem, trends or opportunities for process improvements.
- Communicate effectively with all levels of the organization related to, but not limited to, health plan cost, utilization trends and savings strategies.
- Articulate results, insights and recommendations to management, steering committees and/or project sponsors.
Responsibilities
- Level I Perform research on projects and manage and lead projects to successfully meet business objectives from across the enterprise.
- Identify needs to develop new and innovative Pharmacy products, perform appropriate research, analyses, and evaluate feasibility of the administration and implementation of products.
- Develop and deliver actionable insights to key enterprise stakeholders.
- Actively participating in collaborative meetings with internal and external partners.
- Provide analytics to support strategy development and innovative programs that align with enterprise and pharmacy goals and objectives.
- Partner with business units to ensure compliance with governmental, contractual, and corporate guidelines, regulations, and policies and procedures.
- Develop and establish standardized reporting and processes to support maintenance of business activities.
Requirements
- In lieu of a degree, a minimum of two related years' experience in data or information analyses and reporting.
- Ability to approach data analysis with different data mining techniques, statistical techniques (when applicable).
- Working knowledge of Microsoft Office Suite.
- Knowledge of basic statistical concepts and have strong analytical and problem-solving skills with attention to detail.
- Demonstrated analytic abilities combined with capabilities for completing projects with minimum degree of supervision.
- In depth knowledge of product and member desirable.
- High degree of initiative, proactive attitude and commitment to teamwork.
- Knowledge of advance statistical concepts and has strong analytical and problem-solving skills.
- Must have the ability to work with large datasets (2TB or greater) and integrate large data across multiple sources (structured and unstructured).
- Strong PC/programming skills including Microsoft Office Suite, VBA, SQL, Power Play and Impromptu and moderate proficiency in SAS required.
- A minimum of three years' analytic experience in Healthcare industry.
- Demonstrated ability to effectively interact with internal and external customers with particular strength translating user information needs into requirements and delivering high quality results.
- Strong analytical, diagnostic, and problem-solving abilities with attention to detail.
- Ability to quickly develop expertise in new application domains and analytic tools.
- Consistently demonstrated high quality and accuracy of work.
- Self-motivation, initiative, and an ability to perform under pressure with little supervision.
- A minimum of five years' experience using statistical concepts and tools.
- Master's Degree with at least two years of statistical analysis preferred.
- Demonstrated expertise in relational database concepts.
- Demonstrates advanced statistical capabilities, data mining, forecasting and predictive modeling skills, and/or actuarial techniques.
Benefits
- Provide consultation and analytic support within the Pharmacy Division, other Health Plan departments and external vendors to ensure the most effective and affordable Pharmacy Benefit.
- In partnership with Sales, Finance and Actuarial conduct comparative pricing analyses for pharmacy benefit Requests for Proposal.
- Stay current with knowledge of Health Plans tools and data sources/structures to accurately pull and deliver data.
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This listing is sourced directly from Excellus BCBS's careers page and normalized into a canonical job model.