About The Position

The Senior Analyst, R&D Quality Data Analytics drives the execution, implementation, and operationalization of quality data analytics and quality oversight for digital initiatives aligned with R&D Quality organizational KPIs. The role enables business stakeholders to carry out quality oversight and compliance responsibilities by gathering requirements, conducting analysis, and building end-to-end analytical solutions. It applies UI/UX and data-visualization best practices to create useful dashboards and reports for multiple R&D Quality teams, systems, and products. The position leads quality oversight of data supporting these solutions to ensure it is accurate, complete, and fit for purpose, enabling R&D Quality leadership to rely on it for trending, oversight, and decision-making. The Senior Analyst works collaboratively with R&D Quality stakeholders, IT, and the wider business, supporting design-thinking workshops and Agile ways of working while mentoring stakeholders in effective data visualization and data literacy practices. The role is based in Cambridge or Lexington, Massachusetts, and reports to the Senior Director, R&D Compliance, Systems and Data.

Requirements

  • Bachelor’s degree in Computer Science or another quantitative discipline, such as Information/Data Science, Engineering, or Statistics.
  • At least 3 years of related work experience in quality systems and data visualization capabilities.
  • At least 2 years of experience building Business Intelligence reports and visualization solutions and designing and analyzing business and technical models.
  • Proficiency with BI or data visualization tools such as Power BI or Qlik.
  • Experience with SQL, Python, and a modern data platform such as Databricks.

Nice To Haves

  • Experience designing and deploying low-code applications, automated workflows, and AI agents using Microsoft Power Platform technologies (such as Power Apps, Power Automate, or Copilot Studio) or equivalent, and integrating solutions with enterprise data sources and business processes.
  • Experience with quality management system processes such as deviations, CAPAs, and audits, and systems such as TrackWise or Veeva eQMS.
  • Experience in the global pharmaceutical or healthcare industry, ideally in a Quality or Compliance function.

Responsibilities

  • Lead quality oversight of solution design, execution, and delivery of dashboards, reports, and digital solutions that provide actionable, data-driven insights in partnership with R&D Quality stakeholders.
  • Perform complex analysis using industry-standard data and data-science techniques to build and maintain flexible, QMS-focused data foundation structures.
  • Define, implement, and monitor data-quality rules and checks for critical quality data elements, and investigate and resolve data issues with data owners and system teams.
  • Facilitate day-to-day maintenance and quality oversight of digital tools and solutions, including user access management, issue reporting and resolution, and ad-hoc data requests.
  • Support adoption of digital tools through user-focused solutions, training, documentation, and go-live support.
  • Support modernization and transition of quality reporting while ensuring KPI parity and continuity of compliance reporting.
  • Test, validate, and maintain interactive visualizations and reports in accordance with Takeda SDLC and applicable GxP and ALCOA+ data-integrity expectations.
  • Manage and communicate ongoing status, risks, and issues to provide visibility to leadership.
  • Collaborate with R&D Quality stakeholders, IT, and the wider business; support design-thinking workshops and Agile ways of working.
  • Mentor stakeholders to promote effective data visualization and data literacy practices.
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