Cardinal Health is a distributor of pharmaceuticals, a global manufacturer and distributor of medical and laboratory products, and a provider of performance and data solutions for healthcare facilities. With operations in more than 30 countries and approximately 44,000 employees globally, Cardinal Health is essential to care.

We are navigating the complexities of healthcare and providing scaled solutions to help our customers thrive in a changing world. We strive to be a trusted healthcare partner by driving growth in evolving areas of healthcare, while building upon our distribution, products, and solutions to meet customer needs.

The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling to support the execution of market strategy and profitability optimization through pricing and value-capture activities using modeling, analytics, and econometrics to create pricing strategies for our products and services.

Data Analytics applies business process knowledge and data analytics to develop, recommend and communicate timely, accurate, relevant, and actionable insights to support business decisions and objectives.

• Uses knowledge of business and data to discover and/or anticipate problems or opportunities where data can be leveraged to address the need.
• Asks probing questions to translate business needs to build and design reporting solutions.
• Applies data visualization, descriptive and summary statistical techniques for discovery and timely insights (data exploration, ad-hoc queries, and analysis).
• Interprets results of analyses, identifies trends and issues (forecasting), and develops solutions to support business objectives.
• Applies data aggregation, descriptive analysis and data presentation techniques and tools to communicate complex findings and recommendations to influence others to take action.
• Demonstrates ability to communicate complex information clearly and concisely to a variety of audiences through a variety of mediums.

Responsibilities

• Works on projects (multiweek) and ad hoc requests (< 10 hours to completion) that help drive Medical Segment profitability
• Produces business-relevant deliverables on time and with high accuracy
• Acts as consultant and product manager to develop, deliver and maintain analytic solutions
• Tracks work in progress and effectively manages time to accommodate evolving business priorities
• Communicates effectively across all levels of the organization
• Develops relationships and becomes a trusted analytic partner
• Self-starter who drives results with some level of guidance

Qualifications

• 4-8 years experience preferred
• BA, BS or equivalent experience in related field preferred
• Experience with relational databases (SQL Server knowledge preferred)
• Experience with data exploration and mining tools (Alteryx experience preferred)
• Experience with data visualization and using visual design principles to best communicate information (Tableau experience preferred)
• Strong presentation skills preferred
• Experience translating vague requests into concrete deliverables
• Experience with complex data environments and leveraging disparate data sources, including 3rd party data

What is expected of you and others at this level

• Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
• May contribute to the development of policies and procedures
• Works on complex projects of large scope
• Develops technical solutions to a wide range of difficult problems. Solutions are innovative and consistent with organization objective
• Completes work independently receives general guidance on new projects
• Work reviewed for purpose of meeting objectives
• May act as a mentor to less experienced colleagues