Sr. Data Analytics Engineer (on-site, not remote)

Sr. Data Analytics Engineer (on-site, not remote)

Job Summary : As a Sr. Data 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.
• Identify, design, and implement internal process improvements such as : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• 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.
• Take ownership and responsibility for disseminating data engineering best practices to other team members and throughout the organization.
• Mentor and support the development of new team members (Analytics Engineer).

Qualifications / Requirements :

Experience : Minimum of 3 years of experience in an Analytics Engineer role, with an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, required.

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

Licenses / Certifications : N / A

Skills : Advanced level of proficiency 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 :

Physical Requirements :

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