Senior Data Visualization & Analytics Engineer

3383 Shire Human Genetic Therapies; Lexington (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

3383 Shire Human Genetic Therapies seeks a Principal Engineer for Data Visualization & Analytics to drive data-driven decisions across the organization. You will design scalable Power BI dashboards, reports, semantic models, and visualization solutions to support business operations.

The role emphasizes leading analytics projects, governance, coaching, and adoption of advanced analytics techniques, including AI, ML, and automation, with collaboration across stakeholders.

Qualifications

• Experience designing Power BI dashboards, reports, and semantic models for business users.
• Lead analytics projects with limited oversight and drive adoption through governance and storytelling.
• Work with SQL databases, Databricks, SharePoint, Excel, and related data sources.
• Apply advanced analytics techniques, ML, and AI concepts to business problems.

Responsibilities

• Design, build, and maintain interactive dashboards and reports in Power BI.
• Perform complex data research and statistical analysis to support decisions.
• Create visualizations that communicate trends, risks, and opportunities clearly.
• Define architecture and roadmap for analytics and AI solutions.
• Develop data mining architectures and modeling techniques to identify insights.
• Lead cross-functional teams and coach junior staff.

Skills

Power BI

Data Visualization

Analytics

SQL

Python or R

DAX

Stakeholder Management

Project Leadership

Tools

Databricks

SharePoint

Excel

Power BI Dataflows

Dataverse

Apache Spark

Job description

3383 Shire Human Genetic Therapies seeks a Principal Engineer for Data Visualization & Analytics to drive data-driven decisions across the organization. You will design scalable Power BI dashboards, reports, semantic models, and visualization solutions to support business operations.

The role emphasizes leading analytics projects, governance, coaching, and adoption of advanced analytics techniques, including AI, ML, and automation, with collaboration across stakeholders.