Sr. Data Science Analyst

Indiana University Health System•Carmel, IN

3h•Hybrid

About The Position

Our team members advance our mission and exemplify excellence, compassion, teamwork, and purpose in all that they do. Indiana University Health is seeking individuals who embody these values to join our Operation Excellence team in the role of Sr. Data Science Analyst . We are seeking a highly skilled, technically advanced data professional who can serve as a subject matter expert and trusted partner to leaders across the system. In this role, you will lead complex data projects, mentor junior analysts, and transform raw, disparate data into meaningful insights and visualizations that drive strategic and operational decision‑making. This position requires deep expertise in SQL, advanced analytics, and business intelligence tools, with the ability to collaborate closely with leaders to understand their data needs and deliver accurate, clear, and actionable outputs. The Sr. Data Science Analyst plays a pivotal role in enabling IU Health to make data‑driven decisions across the enterprise. This position serves as the highest‑level technical resource for the analyst team, providing expertise in data extraction, cleansing, modeling, and visualization. You will work directly with operational and clinical leaders to clarify data needs, build meaningful dashboards, and ensure accurate interpretation of financial, operational, and clinical data. Indiana University Health is unlike any other healthcare system and we're looking for team members who share the things that matter most to us. IU Health leaders play a crucial role in advancing the mission of our organization and inspiring teams to make a meaningful difference in the lives of patients. As one of Indiana’s largest employers and the most comprehensive medical system in the state, our vision is to lead the transformation of healthcare through quality, innovation and education, and make Indiana one of the nation’s healthiest states. IU Health is the largest health system in Indiana with nearly 40,000 team members, 15 hospitals and $8.64 billion in operating revenue. The system’s programs in cancer, cardiovascular, neuroscience, orthopedics, pediatrics and transplants have received national recognition for quality patient care. IU Health, in partnership with the Indiana University School of Medicine, bring together highly skilled physicians, researchers, and educators into close collaboration to provide world-class care for children and adults and improve the health of patients and communities across Indiana. Indiana University Health is dedicated to a fair hiring process and is committed to equal opportunity and nondiscrimination for all individuals, regardless of age, color, disability, ethnicity, marital status, national origin, race, religion, gender identity, expression, sexual orientation, or veteran status.

Requirements

Bachelor’s Degree required; Master’s Degree preferred
7–10 years of relevant data science, analytics, or advanced reporting experience
Expert ‑ level proficiency in: Microsoft Excel Microsoft SQL Server SSRS (SQL Server Reporting Services)
Demonstrated experience in the healthcare industry
Significant experience using business intelligence tools such as Tableau, QlikView, Business Objects, or Power BI (strongly preferred)
Proven ability to lead teams or workstreams through complex, technical projects
Ability to identify, cleanse, and integrate disparate data sources
Demonstrated ability to communicate analytical findings clearly to stakeholders at all levels

Nice To Haves

Lean Six Sigma experience
Experience supporting data needs in a multi ‑ system healthcare environment
Experience mentoring junior or intermediate analysts

Responsibilities

Subject Matter Expertise: Serve as the highest ‑ level technical resource for data queries, SQL work, modeling, and advanced analytics for leaders and analyst teams.
Consultative Engagement: Work closely with operational and clinical leaders to understand their data needs, interpret requirements, and translate them into clear analytical outputs.
Raw Data Analysis & Modeling: Extract, cleanse, blend, and analyze large, raw datasets from multiple IU Health systems to generate insightful and reliable models.
Data Visualization: Design and develop high ‑ quality dashboards and visualizations (Power BI is the primary tool), turning complex data into easily digestible insights.
Business Process Understanding: Develop an in ‑ depth understanding of business processes to ensure data models appropriately reflect operational reality.
Project Leadership: Lead complex, multi ‑ phase analytical projects and provide direction to junior and intermediate analysts.
Quality & Data Integrity: Ensure effective use of financial and operational data that may be relied upon by the organization for major decisions.
Data Trend Identification: Identify trends, anomalies, and data quality issues across multiple systems; propose solutions and process improvements.
Cross ‑ Functional Collaboration: Partner with leaders across finance, operations, IT, and clinical teams to ensure alignment and accurate data interpretation.
Team Mentorship: Support skill development of intermediate and junior analysts through coaching, knowledge sharing, and technical guidance.