Sr. Analyst, Data & Analytics Engineering

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.