Finance Data and Analytics Sr Analyst (IKC)

Position Summary  

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 Excellence  

These 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.  

• 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.  

• Successful validation and integration of new data sources (like Cerner) into analytical workflows.  

• Report Timeliness & Automation:  

• Percentage of reports delivered on or before deadlines.  

• Efficiency gains achieved through the automation of manual reporting processes.  

Strategic Impact & Insights  

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.  

• 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.  

• Insights generated from models that lead to cost savings, efficiency improvements, or better resource allocation.  

Project & Stakeholder Management  

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.  

Qualifications  

• 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 Integrity • ETL Process Enhancement. 

• Technical:  

• Alteryx • SQL (Snowflake, T-SQL, PostgreSQL, MySQL) • Tableau • Python • R •   Excel • VBA Programming 

• Strong proficiency with data visualization tools (e.g., Tableau) and data querying languages (e.g., SQL).  

• Excellent analytical, problem-solving, and critical thinking skills.  

• Strong communication skills with the ability to convey complex data stories to both technical and non-technical audiences.  

• A collaborative mindset and the ability to work effectively in a team-oriented environment.