Sr. Analytics Engineer (On Site) - Westchester Medical Center : Job Details

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As a Sr. Analytics Engineer within the Operational Excellence & Enterprise Analytics Department, you will be responsible for expanding and optimizing our network enterprise data warehouse, enabling data-driven decisions and improvements. The ideal candidate is skilled in data pipeline development and data wrangling, enjoys optimizing data systems, and building from the ground up. You must be self-directed, supporting multiple teams across clinical and non-clinical domains. You will re-design our data architecture to facilitate strategic, operational, and clinical decision-making.

• Build infrastructure for optimal data extraction, loading, and transformation (ELT) into our enterprise data warehouse using SQL and cloud technologies (Azure, AWS, Snowflake).
• Create and maintain data pipeline ingestion architecture for structured and unstructured data sources.
• Understand business processes generating data and develop transformation logic for structured and analytical repositories.
• Use data orchestration and scheduling to organize data from multiple sources, enabling analysis and automation.
• Develop and maintain analytics tools and dashboards (Tableau/Power BI) for operational insights.
• Implement data cataloging and best practices for data governance and source control.
• Ensure data quality and security standards are maintained.
• Collaborate with stakeholders to support data infrastructure needs and troubleshoot issues.
• Identify process improvements, automate manual tasks, and optimize infrastructure scalability.
• Create data tools and support analytics and data science teams.
• Mentor new team members and disseminate data engineering best practices.

• Minimum 3 years of experience as an Analytics Engineer.
• Bachelor's degree in Computer Science, Statistics, Informatics, or related field.
• Proficiency in SQL and cloud data warehouse architecture (Snowflake/Azure).
• Experience with Python or R preferred.

• Advanced SQL development, pipeline design, and data profiling.
• Experience with cloud EDWs (Snowflake/Azure).
• Data modeling, documentation, troubleshooting, dashboard development.
• Excellent communication skills and ability to work independently and in teams.
• Proficiency in statistics and data visualization.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industry: Hospitals and Healthcare