Takeda
Healthcare
BusinessDataAnalystandDataVisualizationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Data Analyst and Data Visualization Engineer at Takeda. Skills: Data Visualization, Business Analysis, Power BI, SQL. Transform requirements into visualizations. Design Power BI reporting”
What You'll Achieve.
High adoption by Plasma Ops/QA; Trusted KPIs; Stable refresh; Clear exception handling; Reduced manual reporting; Faster decision-making; Reliable decision-making; On-time delivery; Execution in fast changing environment
Industry & Context.
Analytical skills; Problem-solving skills; Interpret complex data; Actionable insights
What They're Looking For.
Must Have
Bachelor's or master's degree, 3+ years of experience, Proficiency in Power BI, Familiarity with SQL, Advanced knowledge of Excel
Nice to Have
Familiarity with AWS/Azure services, Familiarity with CI/CD, PhD preferred
What You'll Do.
Transform requirements into visualizations
Design Power BI reporting
Sustain Power BI reporting
Partner with cross functional groups
Translate process needs
Understand requirements and objectives
Anticipate user needs
Provide recommendations
Transform stakeholder needs
Conduct review sessions
Build Power BI semantic models
Build Power BI dashboards
Implement data quality checks
Perform reconciliations
Deliver reporting products
Contribute to Data Analytics standards
Support user enablement
Support user adoption
Develop data visualizations
Define KPI definitions
Collaborate with data scientists
Collaborate with analysts
Design visualizations
Conduct data analysis
Stay updated with industry trends
Optimize visualizations
Improve effectiveness
Make technology solutions accessible
Integrate new solutions
Document design choices
Document methodologies
Document best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Product owners; Data scientists; Analysts; Stakeholders; Development team
Communication Scope
Presentation skills; Convey technical information
Process & Methodology
Waterfall, Agile, Scrum practices
Full Job Description
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s [Privacy Notice](https://jobs.takeda.com/privacynotice) and [Terms of Use](https://www.takeda.com/terms-and-conditions/). I further attest that all information I submit in my employment application is true to the best of my knowledge. ## **Job Description** Job Description The Future Begins Here At Takeda, we are creating a future-ready organization that uses data and digital to meet the needs of patients, our people, and the planet. We need your help to make this happen. Join our Innovation Capability Center (ICC) in Chengdu, China. In this role at our state-of-the-art center, you will have the opportunity to grow your skills and create solutions that will benefit patients around the world. Become the heart of our internal innovation engine. At Takeda we unite in diversity. Takeda is committed to creating an inclusive workplace, where individuals are recognized for the diverse backgrounds and abilities they bring to our company. We are continually improving workplace experience and accessibility for everyone, and welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our Team. The Opportunity As a Data Visualization Engineer, you will play a crucial role in transforming complex requirements and data into visually appealing and insightful representations that facilitate data-driven decision-making. You will collaborate closely with product owners, data scientists, analysts, and stakeholders to understand their requirements and translate them into interactive and intuitive visualizations. Design, build, and sustain Power BI or equivalent reporting that improves visibility, compliance, and throughput for plasma bottle/bag sorting and release processes, enabling reliable manufacturing use. P
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