Cardinal Health
Healthcare
SeniorDataAnalyst
“Senior Data Analyst at Cardinal Health. Skills: Data Analysis, SQL, Python, Data Visualization. Lead enterprise-level evaluation. Identify inefficiencies”
What You'll Achieve.
Drive business decisions; Anticipate opportunities; Achieve competitive advantage; Deliver measurable ROI; Strengthen solution quality; Accelerate delivery; Influence business decision-making; Ensure consistency in metric definitions; Enable standardized enterprise reporting; Ensure outputs meet requirements and business expectations; Advance organizational goals; Drive operational excellence; Enhance decision-making; Enhance business performance
Industry & Context.
Identify inefficiencies; Drive scalable, measurable improvements; Translate ambiguous business needs into structured problem statements; Develop, recommend and communicate timely, accurate, relevant and actionable insights; Independently defines methodologies, frameworks, and analytical approaches; Perform advanced exploratory data analysis; Validate hypotheses; Uncover root causes; Synthesize complex insights; Identify opportunities for improvement
What They're Looking For.
Must Have
Bachelor's degree in related field, or equivalent work experience, 8-12 years of experience, Experience analyzing data leveraging SQL, Python for data models in GCP, Producing concepts in data visualization tools, Writing basic SQL queries, Stored procedures, Data visualization tools, Healthcare and Finance analytics experience, Excellent verbal and oral communication skills, Agile methodologies
Nice to Have
Experience with Python and machine learning frameworks, Experience with GCP BigQuery, Experience with data visualization tools such as Tableau and Looker, Experience in Healthcare and Finance analytics, Excellent verbal and oral communication skills, Experience in Agile methodologies
What You'll Do.
Lead enterprise-level evaluation
Identify inefficiencies
Drive scalable improvements
Translate business needs
Develop actionable recommendations
Interpret financial data
Validate requirements
Lead analytics initiatives
Build scalable reporting solutions
Manage high-impact projects
Develop analytical approaches
Drive requirements elicitation
Clarify business needs
Expand domain expertise
Learn business processes
Communicate complex findings
Highlight strategic insights
Strengthen relationships
Ensure solutions meet needs
Maintain technical accuracy
Perform exploratory data analysis
Synthesize complex insights
Influence decision-making
Collaborate with Data Engineering
Enable standardized reporting
Demonstrate accountability
Understand code logic
Validate functionality
Ensure outputs meet requirements
Contribute to policies
Advance organizational goals
Drive operational excellence
Identify improvement opportunities
Recommend new practices
Recommend scalable processes
Recommend analytical models
Enhance decision-making
Enhance business performance
How You'll Work.
Team & Collaboration
Partner with business and technology teams; Collaborate with Data Engineering teams; Engage and align stakeholders; Mentor internal and external partners
Communication Scope
Excellent verbal and oral communication skills; Communicate complex findings; Clear storytelling; Tailored communication
Process & Methodology
Manage a diverse portfolio, Lead major analytics initiatives, Manage and lead projects, Lead complex projects
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