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Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!
Job Responsibility:
Leverages advanced statistical and computational methodologies to deliver insights and strategic opportunities to improve the quality, patient experience, and cost of healthcare
Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as sensors or smart meters, geo-location information and social media
Integrates, analyzes, and interprets business level data from multiple sources, creates mechanisms for exploring structured, semi-structured, and unstructured data
Establishes scalable, efficient, and automated processes for large scale data analyses and model development, validation, and implementation
Manipulates, combines, and refines large datasets to produce information suitable for analysis, including verifying data quality and implementing data quality improvements, as well as feature engineering
Monitors and analyzes complex systems to understand, diagnose, and continuously improve key performance indicators
Assists with development and publishing of analytics-ready data to enable the creation of analytics deliverables
Provides support on all data-related solutions (design, consumption, data feeds, data aggregation, etc.) to business partners and external clients
Develops algorithms for data analysis and writes computer code to implement them
Develops experimental design approaches to validate findings or test hypotheses
Identifies problematic areas, conducts research to determine the best course of action to correct the data, identifies, analyzes and interprets trends and patterns in complex datasets
Works with client-facing teams to understand client needs and develop solutions to satisfy those needs
Assists the leadership in process analysis, team building and conflict management activities associated with other team members
Researches and incorporates best practices into identification of data sources and analysis of information
Explores the space of analytical opportunities for a given problem and executes with a sound analytical strategy
Conducts research on industry trends/techniques and available data and partnerships
evaluates the research to recommend changes to existing process and develop new ones
Requirements:
Bachelor’s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience
4+ years of directly-related or relevant experience, preferably in healthcare data analytics or data engineering
Advanced Data Analytics Certifications
SAS Statistical Business Analyst Professional Certification
Critical Thinking
Detail Oriented
Impact and Influencing
Interpersonal Communication
Multitasking
Problem Solving
Time Management
Advanced Data Visualization Techniques
Advanced Statistical Analysis
Big Data Analysis Tools and Techniques
Data Governance
Data Management
Data Modelling
Data Quality Assurance
Programming languages like SQL, R, Python
Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense