Data Analytics Engineer (Hybrid)

Westchester Medical Center; Town of Mount Pleasant (NY); On-site; USD 100,000 - 126,000; Full time

Benefits offered by this job

Health Insurance

Dental

Vision

Retirement Savings Plan

Flexible Savings Account

Paid Time Off

Holidays

Tuition Reimbursement

Job summary

NorthEast Provider Solutions Inc. is seeking an Analytics Engineer in the DMA-Data Management & Analytics department to expand and optimize the enterprise data warehouse.

The role focuses on ELT design, data governance, and building analytics capabilities across clinical and non-clinical domains. You will collaborate with executives and operations teams to enable data-driven decision making, develop data pipelines, and deliver dashboards that track operational performance.

Qualifications

• Minimum 1 year of Analytics Engineer experience with quantitative degree.
• Proficiency in SQL is required.
• CI/CD with data transformation is highly preferred.
• Experience with Cloud Data Warehouses (Snowflake/Azure) is preferred.
• Experience with Python or R is preferred.

Responsibilities

• Build ELT data pipelines into the enterprise data warehouse using SQL and cloud tech.
• Create and maintain data ingestion architectures for varied sources.
• Translate operational processes into structured data repositories across domains.
• Develop dashboards with Tableau/Power BI to deliver actionable insights.
• Ensure data quality, governance, and documentation enterprise-wide.
• Collaborate with executives, operations, data/design teams on data infra needs.
• Maintain data security standards for enterprise and patient data.

Skills

SQL

CI/CD

Python

R

Statistics

Education

Bachelor’s degree

Master’s degree

Tools

Snowflake/Azure

Tableau/Power BI

SSMS/SQL Server/SSIS

Job description

Company: NorthEast Provider Solutions Inc.

Category: Finance/Info Systems

Department: DMA-Data Management &Analytics

Union: No

Position: Full Time

Hours: 40

Shift: Day

Posted Date: Oct 07, 2026

Hiring Range: $100,287 - $126,083

*If you are hired by WMCHealth, your final base salary will be determined based on job-related factors, including employment status (full-time, part-time or per diem), relevant skills, qualifications and experience. Consistent with our commitment to pay equity, we also consider internal equity among similarly situated employees when determining final compensation.

• Build the infrastructure required for optimal extraction, loading, and transformation (ELT) of data into our enterprise data warehouse (EDW) from a wide variety of data sources using SQL and Cloud data warehousing technologies (Azure, AWS, Snowflake, etc.).
• Create and maintain optimal data pipeline ingestion architecture for various unstructured and structured data sources.
• Strong business process acumen with the ability to attribute how specific clinical or non-clinical business processes generate data.
• With a comprehensive understanding of how our operational processes generate data, develop the transformation logic to establish structured and analytical data repositories across various domains.
• Using data orchestration and scheduling techniques, combine and organize siloed data from multiple data storage locations, making it available for data analysis tools and enabling automation.
• Develop and maintain front-end analytics tools and dashboards (Tableau/Power BI) that utilize the data pipeline to provide actionable insights into operational performance and other key business performance metrics.
• Successfully implement sound data cataloging and analytics development best practices to create organized inventories and source control which aid in data governance.
• Ensure data quality & governance at the enterprise level by utilizing data lineage techniques and following standard data documentation practices.
• Collaborate with stakeholders including Executive leadership, Operations Management, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure internal and external data security standards are maintained to safeguard our enterprise and patient data.
• Provide recommendations to enhance our data engineering techniques and architecture design.
• Create data tools and collaborate with management engineering, analytics, and data scientist team members to assist them in building and optimizing various analytics solutions.
• Utilize agile skills that draw from other disciplines such as management consulting, business administration, organizational development, information technology, and computer science.

Job Details:

Job Summary:

As an Analytics Engineer within the Operational Excellence & Enterprise Analytics Department, you will be responsible for expanding and optimizing our network enterprise data warehouse, thus enabling our organization to make data-driven decisions and improvements. The ideal candidate has skills as a data pipeline developer and data wrangler who enjoys optimizing data systems and building them from the ground up. You must be self-directed and comfortable supporting the data needs of multiple teams and systems in the clinical and non-clinical domains. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to enable data-driven decision making for strategic, operational, and clinical domains.

Responsibilities:

• Build the infrastructure required for optimal extraction, loading, and transformation (ELT) of data into our enterprise data warehouse (EDW) from a wide variety of data sources using SQL and Cloud data warehousing technologies (Azure, AWS, Snowflake, etc.).
• Create and maintain optimal data pipeline ingestion architecture for various unstructured and structured data sources.
• Strong business process acumen with the ability to attribute how specific clinical or non-clinical business processes generate data.
• With a comprehensive understanding of how our operational processes generate data, develop the transformation logic to establish structured and analytical data repositories across various domains.
• Using data orchestration and scheduling techniques, combine and organize siloed data from multiple data storage locations, making it available for data analysis tools and enabling automation.
• Develop and maintain front-end analytics tools and dashboards (Tableau/Power BI) that utilize the data pipeline to provide actionable insights into operational performance and other key business performance metrics.
• Successfully implement sound data cataloging and analytics development best practices to create organized inventories and source control which aid in data governance.
• Ensure data quality & governance at the enterprise level by utilizing data lineage techniques and following standard data documentation practices.
• Collaborate with stakeholders including Executive leadership, Operations Management, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Ensure internal and external data security standards are maintained to safeguard our enterprise and patient data.
• Provide recommendations to enhance our data engineering techniques and architecture design.
• Create data tools and collaborate with management engineering, analytics, and data scientist team members to assist them in building and optimizing various analytics solutions.
• Utilize agile skills that draw from other disciplines such as management consulting, business administration, organizational development, information technology, and computer science.

Qualifications/Requirements:

Experience:

Minimum of 1 year of experience in an Analytics Engineer role, with an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field, required.

• Proficiency in SQL, required
• CI/CD development experience for data transformation with SQL, highly preferred
• Experience with Cloud Data Warehouse architecture (Snowflake/Azure), preferred
• Experience with Python, R, or other programming language, preferred

Education:

Bachelor’s degree, required, Master’s degree, preferred.

Licenses / Certifications:

N/ASkills:Experience in SQL development, table design, pipeline design and build, pipeline monitoring, orchestration & scheduling, data profiling, expertise in analyzing data to identify gaps and inconsistencies, troubleshooting, dashboard development/visualization, Cloud EDWs (Snowflake/Azure preferred), Data modeling, Data documentation, SSMS, SQL Server, SSIS Visual Studio. Excellent written and verbal communication with a strong drive for perfection/professionalism in delivery and presentation. Proven ability to work both independently on projects and as part of a larger team. Advanced proficiency in statistics and statistical software with an ability to visualize data for improvement/performance monitoring .Special Requirements:

About Us:

NorthEast Provider Solutions Inc.

Benefits:

We offer a comprehensive compensation and benefits package that includes:

• Health Insurance
• Dental
• Vision
• Retirement Savings Plan
• Flexible Savings Account
• Paid Time Off
• Holidays
• Tuition Reimbursement