Clinical Education Alliance

Analytics Engineer

• Support the design, development, and maintenance of data pipelines and integrations (e.g., using Databricks, SQL, or Python).
• Transform raw data into clean, analytics-ready datasets following best practices for quality and performance.
• Identify, investigate, and resolve data anomalies or quality issues in coordination with business and engineering teams.
• Conduct exploratory analyses and create ad hoc or manual reports to support business questions and urgent needs.
• Partner with stakeholders to interpret findings and translate data into actionable insights.
• Maintain consistent documentation of data definitions, logic, and reporting standards.
• Build and maintain interactive dashboards and visualizations in Power BI, Databricks Dashboards, or custom Data Apps.
• Collaborate with stakeholders to define KPIs and ensure visualizations align with business goals.
• Support the rollout and improvement of data applications that make analytics more accessible across the organization.
• Participate in exploratory projects using AI, ML, or LLM tools to enhance data workflows and automate insights.
• Assist with the development and evaluation of predictive models under senior guidance.
• Research emerging tools and methods that can improve analytics efficiency and scalability.
• Work closely with data engineers, scientists, and business teams to understand systems and improve processes.
• Document workflows, share knowledge, and contribute to a culture of continuous improvement.
• Take initiative to develop technical and business domain expertise over time.

Associate Data and Analytics Engineer