PRIMARY DUTIES AND RESPONSIBILITIES:
• 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

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EDUCATIONAL QUALIFICATIONS:

Bachelor's Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience.

Preferred Certifications:
• Advanced Data Analytics Certifications
• SAS Statistical Business Analyst Professional Certification

WORK EXPERIENCE:
4+ years of directly-related or relevant experience, preferably in healthcare data analytics or data engineering.

SKILLS & KNOWLEDGE:

Behavioral Skills:
• Critical Thinking
• Detail Oriented
• Impact and Influencing
• Interpersonal Communication
• Multitasking
• Problem Solving
• Time Management

Technical Skills:
• 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

Tools Knowledge:
• Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense
• Data Visualization Tools
• Microsoft Office Suite
• Statistical Analytics tools (SAS, SPSS3)

What Cencora offers

​Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Affiliated Companies

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call *** or email ***. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned