Principal Engineer - Data Visualization & Analytics

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

Job Description

The The Principal Engineer - Data Visualization & Analytics is responsible for performing complex data research and analysis to support business operations. By creating data mining architectures, statistical reporting, and data analysis methodologies, this role helps identify trends in large data sets and informs business decisions.

How you will contribute:

PRIMARY OBJECTIVES:

• Enable data-driven business decisions by performing complex data research and analysis and translating findings into clear, actionable insights.
• Design scalable, trusted, and business-friendly Power BI dashboards, reports, semantic models, and data visualization solutions.
• Create and improve data analysis methodologies, data mining models, and statistical reporting approaches that identify trends, risks, and opportunities in large data sets.
• Lead complex analytics projects with limited oversight and strengthen analytics capability through governance, innovation, coaching, and adoption.

RESPONSIBILITIES:

Data Visualization, Analytics & Reporting

• Design, build, and maintain interactive dashboards, reports, and semantic models in Power BI.
• Perform complex data research, statistical reporting, and analysis to support business operations and decision-making.
• Create intuitive visualizations and presentations that communicate trends, risks, opportunities, and recommendations to technical and non-technical audiences.
• Define technical architecture and roadmap for analytics, AI, and digital solutions, balancing business value, scalability, usability, and maintainability.
• Develop and apply data analysis methodologies, data mining architectures, models, and protocols to identify trends in large data sets.
• Optimize dashboards and analytical products for usability, accessibility, performance, and adoption using sound visualization, DAX, and modeling practices.

Business Partnership, Project Leadership & Storytelling

• Partner with stakeholders to frame business questions, gather requirements, define KPIs, and translate needs into analytical and reporting solutions.
• Manage large analytics projects or processes with limited oversight, including scope, priorities, risks, dependencies, and delivery outcomes.
• Present insights and recommendations in a clear, actionable, and audience-appropriate manner and influence decisions through data storytelling.
• Lead small project teams, coordinate cross-functional contributors, and represent the organization in project or contractual matters when required.
• Coach, review, and delegate work to less-experienced professionals and participate in training junior staff.

Data Engineering, Advanced Analytics & Innovation

• Work with enterprise data from SQL databases, Databricks, SharePoint, Excel, and other approved sources.
• Use Power BI Dataflows, semantic models, and DirectQuery or Import approaches as appropriate to the use case.
• Apply advanced SQL and working knowledge of Python or R to prepare, analyze, and interpret complex data.
• Apply machine learning, predictive modeling, and Apache Spark where appropriate to complex analytics use cases.
• Research existing and emerging data science and analytics techniques and recommend practical innovations that improve business outcomes.

AI, Digital Solutions & Innovation

• Design, develop, and deploy AI-powered business solutions leveraging Generative AI, LLMs, copilots, agentic workflows, and advanced analytics capabilities.
• Develop digital products and applications using Power Platform, Dataverse, SharePoint, APIs, cloud-native services, and approved enterprise technologie