Sr. Analyst, Data & Analytics Engineering
Listed on 2026-08-29
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IT/Tech
Data Analyst, Data Engineering, Data Science Manager
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Full Time Coraopolis, PA, US
Purpose:The Sr. Analyst, Data & Analytics Engineering provides strategic and tactical support to Vanscoy Rare Pharmacy and will report directly to the Data Analytics Manager. The Sr. Analyst, Data & Analytics Engineering works directly with Vanscoy Rare Pharmacy teams to determine reporting requirements, develop data pipelines, and distribute reports on to internal and external stakeholders. As a Sr. Analyst, Data & Analytics Engineering, you will be responsible for designing, developing, and maintaining our data infrastructure, ensuring the efficient and secure processing of large volumes of data, and providing actionable insights through data visualization.
You will serve as an organizational expert on data infrastructure by working closely with Vanscoy Rare Pharmacy leadership, determining the needs of the team, and providing knowledge and recommendations to support the data and analytics needs. This role is also responsible for identifying quality issues and implementing solutions to potential issues that may arise through data analysis and reporting. The Sr.
Analyst will also be responsible for mentoring and coaching analysts, engineers, and other data team members. In some cases, the Sr. Analyst, Data & Analytics Engineering will be responsible for delegating work based on organizational priorities.
The Sr. Analyst, Data & Analytics Engineering will also support the organization’s evolving AI and advanced analytics initiatives by helping evaluate opportunities for intelligent automation, anomaly detection, predictive analytics, workflow optimization, and AI-assisted reporting. AI-enabled capabilities should be implemented with appropriate governance, security, auditability, and human oversight to support operational and compliance objectives.
The Sr. Analyst, Data & Analytics Engineering will be responsible for promoting best practices in data engineering, reporting development, governance, and documentation. This role may also be responsible for prioritizing and delegating work based on organizational initiatives, project timelines, and operational priorities.
Responsibilities:- Design and Development: Assist with the design and development of scalable data pipelines using Azure Data Factory and Azure Synapse Analytics to support data integration, transformation, and loading processes.
- Data Management: Oversee the management and optimization of data storage solutions, including data lakes and data warehouses, ensuring data is organized, accessible, and secure.
- Data Delivery: Utilize data pipelines and triggers to create and deliver data files reliably and repeatably.
- Data Visualization: Utilize Power BI to create and maintain reports and dashboards that provide actionable insights to stakeholders.
- Collaboration: Work closely with pharmacists, business stakeholders, and Vanscoy Rare Solutions leadership to understand data requirements and deliver solutions that meet business needs.
- Performance Optimization: Monitor and optimize the performance of data pipelines and storage solutions to ensure efficient data processing and retrieval.
- Data Governance: Implement and enforce data governance policies and best practices to ensure data quality, consistency, and compliance with regulatory requirements.
- Mentorship: Provide technical leadership and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.
- Innovation: Stay up-to-date with the latest industry trends and advancements in data engineering, Azure technologies, and data visualization tools, and apply this knowledge to drive innovation within the team.
- Other duties as assigned
- Education
:
Bachelor’s or Master’s degree or equivalent experience in Computer Science, Information Technology, and Data Analytics. - Experience
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Minimum of 5 years of experience in data engineering, with a focus on using Microsoft Azure services and Power BI. - Technical
Skills:- Proficiency in data modeling, ETL processes, and data…
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