Associate Data & Analytics Engineer

Decera Clinical is a company that helps life sciences organizations enhance HCP adoption of innovative therapies. They are seeking an Associate Data & Analytics Engineer to design, build, and maintain data pipelines and analytics systems that support AI-driven healthcare and education initiatives.

Responsibilities:

• 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

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• 1–3 years of professional or academic experience in analytics, data engineering, or data visualization
• Proficiency in SQL and basic familiarity with Python or PySpark
• Hands-on experience with Power BI, Databricks, or similar BI and data platforms
• Strong analytical and troubleshooting skills, with attention to detail and data accuracy
• Ability to communicate findings clearly to both technical and non-technical audiences
• Experience with cloud data platforms (Azure, AWS, or GCP)
• Familiarity with ETL/ELT processes and data modeling (e.g., star schema, medallion architecture)
• Basic understanding of APIs, version control (Git), and CI/CD workflows
• Exposure to AI/ML concepts or interest in exploring their practical use in analytics