Data Analyst, Data Analytics

Cardinal Health is seeking a Data Analyst for its At Home Solutions business to partner with operational leadership. The role prepares, reports on, and analyzes financial and operational data, developing scalable dashboards and self-service tools that provide timely, actionable insights for decision-making.

Responsibilities:

• Apply comprehensive knowledge of analytical concepts, principles, and technical capabilities to independently perform complex analyses and large-scale projects
• Extract, transform, and consolidate financial and operational data from multiple source systems (ERP, operational systems, external files, etc.), ensuring accuracy, completeness, and consistency through validation and quality controls
• Develop, validate, and maintain key performance indicators (KPIs) as well as conduct ad hoc analyses to provide senior management with critical business insights, enabling data-driven decision-making and strategic planning
• Proactively develop a deep understanding of enterprise data and business processes and analyze complex datasets to identify trends, issues, and opportunities
• Identify opportunities to improve data quality, streamline reporting processes, and develop innovative solutions that advance organizational objectives
• Partner with cross-functional teams, including Finance, Operations, Revenue Cycle Management and IT, to ensure data alignment and accuracy while effectively collaborating with non-technical stakeholders
• May act as a mentor to less experienced colleagues and contribute to a collaborative, knowledge-sharing environment

Requirements:

• Excellent analytical and problem-solving skills with a keen attention to detail
• Strong communication skills, with the ability to present complex data in a clear and concise manner
• Bachelor's degree in Finance, Computer Science, Data Science, or a related field, preferred
• 4+ years of experience in data analysis, or a related role, preferred
• Advanced SQL skills for data extraction, manipulation, and analysis, preferred
• Experience with data visualization and reporting tools (e.g. PowerBI, Tableau, etc) preferred
• Experience with other data analysis tools (e.g. Alteryx) and/or programming languages (e.g., Python, R), Proficiency in Microsoft Excel preferred