Data Analyst

The Data & Analytics Function oversees the analytics life-cycle 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.

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., * Translate business needs into analytical solutions using SQL, Python, and visualization tools.

• Perform data exploration, profiling, and cleansing to ensure high-quality insights.
• Build and maintain dashboards and reporting solutions using Tableau, Looker, or similar tools.
• Apply descriptive and inferential statistics to identify trends, forecast outcomes, and support decision-making.
• Collaborate cross-functionally to define requirements and deliver iterative analytics solutions.
• Document business processes and data flows to support transparency and governance.
• Contribute to data product development and participate in agile delivery cycles.
• Support data governance and quality initiatives through adherence to standards and proactive issue identification., * 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

• Bachelor's degree in a quantitative field, or equivalent work experience, preferred
• 4-8 years of experience in data analytics or business intelligence, preferred
• Proficiency in SQL and Python; experience with R is a plus
• Experience with cloud-based data platforms (e.g., GCP BigQuery, Databricks, or Snowflake)
• Strong skills in data visualization tools (e.g., Tableau, Looker, Power BI)
• Familiarity with statistical methods and hypothesis testing
• Knowledge of Alteryx or similar data prep tools preferred
• Experience working in agile or iterative development environments, Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.

Anticipated salary range: $80,900 - $115,500

Bonus eligible: No

Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.

• Medical, dental and vision coverage
• Paid time off plan
• Health savings account (HSA)
• 401k savings plan
• Access to wages before pay day with myFlexPay
• Flexible spending accounts (FSAs)
• Short- and long-term disability coverage
• Work-Life resources
• Paid parental leave
• Healthy lifestyle programs