Headquartered in Dublin, Ohio, Cardinal Health, Inc. (NYSE: CAH) is a global, integrated healthcare services and products company connecting patients, providers, payers, pharmacists and manufacturers for integrated care coordination and better patient management. Backed by nearly 100 years of experience, with more than 50,000 employees in nearly 60 countries, Cardinal Health ranks among the top 20 on the Fortune 500.

QUALIFICATIONS

• Experience analyzing data using SQL, R, and/or Python for data models in GCP (BigQuery, and other GCP services)
• Prior experience working with data science teams for data preparation and transformations to help ensure end-to-end data quality
• Actively collaborates with data engineers, data scientists and business leaders to provide design input and rapid prototypes
• Strong customer focus and interaction to listen to users, explore the data, and present multiple alternatives to meet solution objectives.
• Ability to create a data story with visualizations using Tableau and/or PowerBI
• Knowledge of data governance and security best practices for data platforms on GCP
• Agile development skills and experience
• Ability to effectively communicate and train business users on newly developed dashboards and reports
• Strong verbal and written communication skills
• An analytical mind and inclination for problem-solving with strong attention to detail combined with big-picture thinking
• BA, BS or equivalent experience in related field Advance Degree may be preferred
• 8-12 years experience preferred

• Leverages strong programming skills, particularly in SQL, and utilize various tools to evaluate performance and implement remedies to improve performance, including tuning database parameters and SQL statements
• Uses knowledge of business objectives and strategies (including business and data context) to identify opportunities where data repositories, machine learning models, and artificial intelligence algorithms can be leveraged to achieve dramatic business benefits.
• Uses SQL to prepare and analyze business data including locating, collecting, profiling, cleansing, extracting, mapping, importing, mining, transforming, validating or modeling from various internal and external data sources.
• Applies query, data exploration and transformation, basic statistical methods, and visualization techniques to create business insights or improve data quality around data biases, anomalies, errors, patterns, and trends.
• Communicates complex information (business and IT) so that it is easy to understand and influences others to act based on the useful information provided.
• Works across business users, analytics teams, data engineers, and data scientists to develop data needs and process flows to generate innovative ideas that are predictive and prescriptive (well beyond “what happened?”).
• Consults with Business stakeholders to determine and refine solution objectives.
• Understands and works with business partners to define data domains, data ownership, data governance, and data taxonomies in conjunction with CAH data governance practices.
• Create documentation and complete Knowledge Transfer for business process and data analytics parts of AI/ML solutions to Run team.
• Lead peer reviews of SQL code for other team members
• Mentor, guide, and support the junior business and data analysts on the team