
Senior Consultant - Healthcare Economics
- Dublin
- Permanent
- Full-time
- Design and develop data queries and programs through Python to create data sets and models for analyzing and interpreting key drivers of health care trends (i.e., medical cost, utilization, etc.)
- Build and maintain user friendly and informative dashboards and summarizations that provide actionable insights to stakeholders using relevant data visualization aids
- Ability to work effectively with cross-functional teams, manage multiple priorities and deadlines, be detail-oriented and work independently as well as in groups
- Collaborate with stakeholders and internal business partners to understand business requirements and translate them into analytical solutions, using data visualization tools
- Conduct Ad Hoc Analysis and solve complex data issues and provide consultative advice and summarize analytic findings. Present analysis clearly and consistently using various BI tools
- Evaluate gaps in processes and opportunities for automation
- Interpret and analyze clinical data from various sources and recommend best approaches
- Provide ongoing, meaningful, communications to leadership on project status, results and conclusions from analyses
- Migrate processes and analyses from legacy systems to new solutions
- Bachelor’s Degree (or higher) in relevant field (data science, analytics, mathematics, economics, business, statistics, engineering, or finance) or equivalent experience
- Intermediate (or higher) level of Proficiency in SQL
- Experience programming statistical models, demonstrate understanding of different statistical methods and approaches
- Experience working with technical and business professionals in a matrix environment
- Experience using data visualization tools such as Power BI, or similar (such as Looker, Tableau/Salesforce, Qlik)
- Advanced Degree in mathematics, statistics, computer science, or related quantitative discipline
- Proficiency in Machine Learning and AI models and algorithms
- Experience in Snowflake
- Ability to work successfully in an ever-changing, priority driven environment
- Experience in medical data including hospital, ancillary, and physician
- Experienced working in a large global and virtual corporate environment
- Intermediate level or higher Proficiency in analytic tools such as R, Python
- Analytical and problem-solving skills, with the ability to think critically and translate complex concepts into practical solutions
- Oral and written communication skills and presentation skills
- People skills, proven ability to work and present effectively with various levels of leadership