Principal Engineer - Data Visualization & Analytics

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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 technologies.
• Lead automation initiatives utilizing Power Automate, workflow orchestration, and intelligent process automation techniques.
• Evaluate emerging AI, machine learning, and automation technologies and translate them into scalable business solutions with measurable business outcomes.
• Collaborate with business and technical stakeholders to identify opportunities for AI adoption, operational optimization, and digital transformation.
• Ensure AI and digital solutions adhere to governance, security, privacy, data quality, GxP, and Responsible AI requirements where applicable.

Governance, Quality & Standards

• Ensure data quality, documentation, consistency, lineage, access control, and adherence to analytics and reporting standards.
• Apply governance practices independently, advise teams on improvements, and help establish reusable patterns and standards.
• Continuously monitor solution effectiveness and incorporate user feedback to improve analytical products and adoption.

Skills and qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related field.
• 5+ years of experience in data visualization, business intelligence, data analytics, analytics engineering, data science, or related roles, including responsibility for complex projects.
• Advanced hands-on experience with Power BI, including report development, semantic modeling, DAX, row-level security, performance optimization, workspaces, apps, sharing, and permissions.
• Advanced proficiency in SQL, with experience optimizing complex queries and database tasks.
• Experience using Python or R for complex data analysis; experience with machine learning, predictive modeling, or Apache Spark is preferred.
• Experience with enterprise data platforms and sources such as Databricks, SharePoint, Excel, and relational databases.
• Demonstrated experience leading cross-functional analytics initiatives, influencing stakeholders, and coaching or mentoring other professionals.
• Experience working in agile delivery environments; experience in a regulated industry is preferred.

KEY SKILLS AND COMPETENCIES:

• Advanced Power BI expertise, including data modeling, DAX, row-level security, dashboard optimization, and governed deployment practices.
• Advanced SQL skills and practical capability in Python or R for complex analysis and analytical application development.
• Strong knowledge of statistical analysis, data mining, predictive modeling, machine learning, and large-scale analytics techniques.
• Ability to create complex, intuitive data visualizations and impactful presentations and to coach others in these practices.
• Strong understanding of visualization standards, chart selection, dashboard usability, accessibility, and data storytelling.
• Ability to translate ambiguous business needs into scalable, user-friendly, governed analytical solutions and actionable recommendations.
• Project leadership skills, including independent decision-making, prioritization, risk management, delegation, and coordination of small teams.
• Strong governance mindset with attention to data quality, accuracy, documentation, security, and continuous improvement.
• Effective communication, influencing, stakeholder management, and collaboration across technical, business, and senior audiences.
• Curiosity and innovation mindset, with the ability to evaluate emerging analytics and data science practices and apply them pragmatically.

LICENSES/CERTIFICATIONS:

• Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer, or comparable data analytics certification preferred.
• Relevant certification in cloud data platforms, Databricks, data science, or advanced analytics is a plus.

Takeda Compensation and Benefits Summary

We understand compensation is an important factoras you consider the next step in your career. We are committed to equitablepay for all employees, and we strive to be more transparent with our pay practices.

For Location:

U.S. Base Salary Range:

The estimated salary range reflects an anticipated range for this position. The actual base salary offered may depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. The actual base salary offered will be in accordance with state or local minimum wage requirements for the job location.

For information about our benefits, please click here.

EEO Statement

Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.

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Job Exempt