Data Scientist, Data Analytics

Key Skills

Advanced Analytics, Alteryx, Analytical and Problem solving, Analytical Techniques, Causal inference, Data Analytics, Data Mining, Forecasting, Google BigQuery, Microsoft Office suites, Optimization, Predictive Modeling, SAP, SAS, Simulation software, SQL, Statistical modeling, Tableau

Job Description

What Data Science/Advanced Analytics contributes to Cardinal Health

Advanced Analytics is responsible for applying quantitative methodologies, techniques and tools to develop best-in-class analytic solutions that solve complex business problems.

• Works with stakeholders to identify business opportunities, goals, or objectives; determines if objectives can be met using an analytical approach and develops hypothesis.
• Identifies key data requirements and acquires data; harmonizes, rescales, and cleans data for statistical techniques; applies data visualization techniques to evaluate data for model specification etc.
• Builds custom quantitative models by applying advanced statistical methods such as causal and predictive modeling, forecasting, data mining, simulation, and/or optimization.
• Demonstrates the ability to perform validation and testing of models to ensure adequacy and determines need for reformulation.
• Interprets results of quantitative models, identifies trends and issues, and develops alternatives to support business objectives.
• Demonstrates ability to clearly and concisely communicate complex information to a variety of audiences and mediums.
• Partners with stakeholders and technologist to implement/automate/operationalize models into day-to-day business decision making.

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 objectives
• 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

Responsibilities:

• Conduct ad-hoc analysis and reporting related to Cardinal Health’s Anti-Diversion program and regulatory requirements.
• Develop and execute analytical data models as it relates to Anti-Diversion and Retail National Accounts.
• Apply analytics to understand the distribution trends/patterns of pharmaceutical products, specifically controlled substances, and its impact to the Anti-Diversion program and customer experience.
• Create, coordinate, and maintain automated analytical processes, within SAS environment, to accommodate various advanced reporting needs.
• Manage projects to improve analytical capabilities of the Supply Chain Integrity program and overall customer experience.

Qualifications:

• Bachelor's degree in related field preferred
• Master’s degree in a data analytics field preferred
• 2-6 years experience preferred
• 2-4 years experience working in an analytical role performing statistical analysis
• Strong ability to write SQL
• Experience with Alteryx
• Experience using analytical software, including Big Query, SAS, Tableau, etc
• Experience in SAP a plus
• Strong problem solving, analytical, and communication skills
• Advanced Excel, Access, and PowerPoint skills required

Anticipated salary range: $88,000 - $100,000

Bonus eligible: No

Benefits: Health insurance, 401k Contributions, Paid Time Off, Vacation, STD/LTD