Enterprise Analytics BID

Enterprise Analytics BID Deaconess Health System - 3.5 Evansville, IN Job Details $99,465.60 - $149,219.20 a year 19 hours ago Benefits Health insurance Tuition reimbursement Opportunities for advancement Retirement plan Qualifications Data model design Performance tuning Power BI Databricks Data visualization software proficiency Data Integration (Data management) Machine learning/AI-based analysis Computer Science Cloud data warehouses Automation Data modeling projects Database development 5 years C# Regulatory compliance Data reporting Information Systems Tableau Data governance Snowflake SQL Data Architecture Design (Architecture design skills) Bachelor's degree IT experience within healthcare Azure Data Factory Improving database performance Implementing APIs Scalability System architecture design Cloud Architecture Design (Architecture design skills) SSIS Senior level AI Bachelor's degree in computer science Healthcare compliance Python PowerShell Analytics Full Job Description Join Our Team Deaconess Analytics plays a critical role in transforming healthcare data into actionable insights that drive better patient care, operational efficiency, and strategic decision-making. As part of a multi-state healthcare organization, we leverage modern data technologies to support analytics maturity, data governance, and enterprise data solutions. We are seeking a Data Architect to design and implement enterprise data solutions that support our analytics and operational reporting needs. Benefits We pride ourselves in retaining our top talent by offering work environments that support professional development and personal success. In addition to our robust healthcare and retirement plans, we offer: Onsite children's care centers (Infant through Pre-K) Tuition reimbursement Free access to fitness centers, where health coaches are available to help with workout plans Career advancement opportunities Competitive pay, yearly opportunities for pay increases and bonuses Job Overview Develop and maintain data models, data warehouses, and cloud-based data platforms to support analytics and reporting Architect and optimize Azure SQL Database, Data Factory, and hybrid cloud solutions for scalability and security Oversee ETL pipelines using SSIS, Python, PowerShell, and API integrations to ensure seamless data flow between systems Establish data governance frameworks, ensuring compliance with regulatory and organizational data standards Collaborate with data engineers, analysts, and stakeholders to ensure alignment with business goals Design efficient queries, indexing strategies, and data partitioning for high-performance data solutions Support the integration of AI-driven analytics and automation into Deaconess's data ecosystem

What You Will Need Required:

Bachelor's degree in Computer Science, Data Engineering, Information Systems , or related field 5+ years of experience in data architecture, data engineering, or database development Expertise in SQL Server, Azure SQL Database, SSIS, and Data Factory Proficiency in Python, PowerShell, C#, and API-based data integration Experience with BI tools like Power BI and Tableau Strong understanding of data modeling, database performance tuning, and data warehousing Familiarity with data governance, security, and compliance in a healthcare environment

Preferred:

Experience with Microsoft Fabric, Databricks, and Snowflake Hands-on experience with RPA (UIPath) integration into data workflows Familiarity with machine learning and AI-driven analytics

Other Keywords:

Data Architect, Data Engineering, SQL Server, Azure SQL Database, SSIS, Data Factory, ETL Pipelines, Python, PowerShell, C#, API Integration, Business Intelligence (BI), Power BI, Tableau, Data Modeling, Data Warehousing, Database Performance Tuning, Data Governance, Data Security, Compliance, Healthcare IT, Cloud-Based Data Platforms, Hybrid Cloud Solutions, Microsoft Fabric, Databricks, Snowflake, RPA (UIPath), AI-Driven Analytics, Machine Learning, Data Automation, Enterprise Data Solutions, Analytics Maturity, Data Strategy, Multi-State Healthcare System, IT.