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Job Description

About the role:

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.

How will you contribute:

• 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.

What you bring to Takeda:

• 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 mo