Finance Data and Analytics Sr Analyst; IKC
Listed on 2026-03-09
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IT/Tech
Data Analyst, Data Science Manager
Posting Date
: 12/23/2025
2000 16th Street, Denver, Colorado, 80202, United States of America
We are on a mission to be the provider, partner, and employer of choice. Our team of dedicated teammates—from our frontline clinicians to our corporate teams—is the heart of our success. We are recognized for our clinical quality, innovation, and our commitment to creating a positive, supportive work environment. Join us as we continue to improve the quality of life for our patients through innovative, patient-centered care.
PositionSummary
We are seeking a talented and analytically-driven Senior Analyst to join our Integrated Kidney Care (IKC) Finance Data and Analytics team. In this role, you will be instrumental in analyzing complex clinical and financial data to generate insights that enhance patient outcomes and support our value-based care objectives.
You will dive deep into datasets from various sources to evaluate clinical program effectiveness, with a significant focus on our “care pathways.” This position offers a unique opportunity to directly influence patient care strategies through data-driven storytelling and collaboration with cross-functional teams.
Core Responsibilities Reporting & Analytics ExcellenceThese KPIs measure the analyst’s core technical and analytical output. Success here means delivering accurate, timely, and user-friendly data products.
- Dashboard Development & Adoption: Number of new Tableau dashboards or reports developed and deployed to support clinical and financial teams.
- Dashboard Development & Adoption: Adoption rate or usage frequency of developed dashboards by end-users (e.g., clinical leaders, care coordinators).
- Data Accuracy & Integrity: Reduction in data errors or discrepancies in reporting over time.
- Data Accuracy & Integrity: Successful validation and integration of new data sources (like Cerner) into analytical workflows.
- Report Timeliness & Automation: Percentage of reports delivered on or before deadlines.
- Report Timeliness & Automation: Efficiency gains achieved through the automation of manual reporting processes.
These metrics focus on the analyst’s ability to translate data into actionable insights that drive business and clinical value. This is where the analyst moves from simply reporting numbers to telling a compelling story with the data.
- Care Pathway Insights: Identification of key drivers influencing care pathway adherence and completion rates.
- Care Pathway Insights: Analysis correlating care pathway activities (like TOC contacts) with patient outcomes, such as reduced hospital readmission rates.
- Actionable Recommendations: Number of data-driven recommendations presented to leadership that are adopted into clinical or operational workflows. For example, suggesting a change in a process based on an insight that improves the percentage of completed activities by due date tracked on the CC Scorecard.
- Financial & Operational Modeling Impact: Quality and accuracy of financial models that assess the impact of clinical initiatives.
- Financial & Operational Modeling Impact: Insights generated from models that lead to cost savings, efficiency improvements, or better resource allocation.
These KPIs measure the analyst’s effectiveness in collaborating with others and managing their workload. Success in this area is crucial for ensuring their analytical work has a real-world impact.
- Stakeholder Satisfaction: Positive feedback from key partners in finance, clinical, and operational leadership regarding the clarity, relevance, and impact of the analytical support provided.
- Project Completion: On-time completion of assigned analytical projects and ad-hoc requests.
- Process Improvement Contribution: Successful contributions to enhancing data structures or reporting capabilities, making analytics more efficient or powerful for the entire team.
- Bachelor’s (or Master’s) degree in quantitative field (e.g., finance, economics, mathematics, engineering, etc.)
- One to Three (1-3) years of professional experience in an analytics role.
- Analytical Items:
Financial & Predictive Modeling
• Time Series
• Forecasting
• Data…
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