Data Analyst II
About The Position
The Data Analyst II provides analysis of quantitative and qualitative administrative and operational data in support of scientific research initiatives within the Scientific Director's Office. Depending on the applicant's skill level, the role could become Senior Data Analyst. It combines data analytics expertise with solutions engineering, including the development of dashboards, automated reporting systems, and custom Power Platform applications with AI capabilities. Under guidance from senior staff, the position supports data-driven decision-making by building analytics tools, helping teams adopt analytics, and translating data into actionable insights.
Requirements
- Bachelor's degree in computer science, data science, information science, business, or a related field.
- At least 2 years of IT experience designing databases and ETL processes, preferably in a comparable industry.
- Experience with SDLC methods such as Agile, Waterfall, or CI/CD.
- Experience in programming and querying languages.
- Proven performance in an earlier or comparable role.
- Proficiency with Microsoft Power Platform, Power BI, SQL, data modeling, ETL, and cloud analytics platforms such as Microsoft Fabric, Databricks, or Azure.
- Ability to build low-code, web-based, and enterprise-integrated solutions that support data access, reporting, and workflow needs.
- Working knowledge of AI/ML tools such as Copilot or Azure AI and ability to embed them in analytics, automation, and business applications.
- Strong analytical thinking, critical reasoning, data visualization, and data storytelling skills to connect insights to business outcomes.
- Clear communication, training, documentation, collaboration, prioritization, and accountability skills to support technical and non-technical stakeholders.
Nice To Haves
- Master's degree.
- Three years of IT experience in data analytics, business intelligence, or solutions development, preferably in healthcare, research, or a comparable industry.
- Experience with Microsoft Power Platform, enterprise reporting, dashboards, cloud data platforms, data engineering, SQL, AI/ML integration, or SharePoint development or integration.
- Experience with enterprise reporting tools for report development.
- Experience creating dashboards using data visualization tools such as Power BI, Tableau, or Qlik, and data warehousing applications.
- Microsoft certifications in Power Platform, Databricks, or related technologies.
Responsibilities
- Design and maintain dashboards, reports, data visualizations, and analytics tools using Power BI, Microsoft Fabric, and related platforms to support research operations and administrative decision-making.
- Build Power Platform and low-code solutions with AI-enabled workflow automation to improve reporting, operational efficiency, and decision support.
- Develop and maintain data pipelines, ETL processes, data models, and governance standards using Databricks, SQL, Microsoft Fabric, and other enterprise data tools to ensure quality, integrity, security, and availability.
- Translate scientific and administrative needs into technical specifications, predictive analytics, and AI/ML-enabled solutions with guidance from senior analysts.
- Support training, adoption, documentation, user guidance, and knowledge transfer for analytics tools and decision-support systems.
- Evaluate emerging data, AI, and low-code technologies and collaborate with IT and cross-functional stakeholders to integrate scalable Scientific Director's Office solutions with enterprise systems.
- Maintain regular and predictable attendance.
- Perform other related duties as assigned to meet the goals of the department and institution.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
