Takeda Pharmaceutical Companyposted about 1 month ago
$86,500 - $135,960/Yr
Full-time • Mid Level
Hybrid • Lexington, MA
Chemical Manufacturing

About the position

The Data Quality and Governance, Senior Analyst is responsible for maintaining and enhancing the company's data quality standards through recurring data maintenance tasks and a high-level data quality strategy. This role also involves establishing and maintaining policies and standards for end-to-end data governance. You will report to the Head of DD&T.

Responsibilities

  • Analyze large datasets to identify trends, patterns, and insights focused on site/ function priorities and needs leveraging GMS/GQ-endorsed platforms.
  • Conduct exploratory data analysis and data mining to uncover opportunities for process optimization and feature improvements.
  • Enable the site's data and AI journey through extracting actionable insights, leveraging statistical analysis, machine learning, and data mining techniques to inform and support data-driven decision-making in daily operations, business growth and transformation.
  • Perform A/B testing and statistical analysis to assess the impact of changes and features on digital products.
  • Ensure data accuracy and reliability in all analysis activities through validation checks and collaboration with data engineers and GMS/GQ data ecosystem.
  • Develop and maintain dashboards and reports, delivering actionable near real-time insights and drive user engagement leveraging GMS/GQ-endorsed platforms.
  • Create intuitive data visualizations and presentations that effectively communicate findings to stakeholders and support data-driven decision-making.
  • Ensure data consistency and integrity across all visualizations, adhering to best practices and aligning with global data standards.
  • Partner with global and local teams to integrate site data into a unified data ecosystem, driving standardization and reducing data fragmentation.
  • Lead efforts to raise analytics standards through participation in communities of practice, promoting best practices, re-use and scalability in data analysis and visualization across the network.
  • Champion data literacy and analytical thinking within the site.
  • Align site visualization and analytical needs through multi-year roadmaps.
  • Contribute to SAFe processes, supporting agile, efficient delivery of scalable data solutions across teams.

Requirements

  • Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent experience in data analytics.
  • Proficiency in data analysis tools and programming languages (e.g., SQL for querying databases, Python for statistical analysis and automation, JS/Typescript for FrontEnd).
  • Experience with data visualization tools (e.g., Power BI) and the ability to translate complex data into clear, actionable insights through effective data storytelling.
  • Experience in no/low code data science/ intelligent automation platforms (e.g., Dataiku, DataRobot, PowerAutomate) to scale data science workflows and automate processes.
  • Experience with data governance practices to ensure data quality by design.
  • Strong understanding of digital product metrics, user behavior analysis, A/B testing, and leveraging these insights to drive product optimization and user engagement.
  • Proven ability to collaborate effectively with cross-functional teams, including data translators and business stakeholders, to align data science initiatives with strategic objectives.
  • Skilled in deploying, monitoring, and refining predictive models and algorithms to drive continuous product improvements and strategic decision-making.
  • Openness to working in agile environments with multiple stakeholders, experienced in SAF methodologies.
  • Professional attitude and service orientation; team player with multi-national experience.

Nice-to-haves

  • AWS/ Microsoft certified in Data Analytics or equivalent would be ideal.

Benefits

  • Medical, dental, vision insurance
  • 401(k) plan and company match
  • Short-term and long-term disability coverage
  • Basic life insurance
  • Tuition reimbursement program
  • Paid volunteer time off
  • Company holidays
  • Well-being benefits
  • Up to 80 hours of sick time per calendar year
  • Up to 120 hours of paid vacation for new hires

Job Keywords

Hard Skills
  • Data Science
  • Mathematical Statistics
  • Power BI
  • Python
  • TypeScript
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