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Data Visualization Engineer

応募 後で応募 求人ID R0112619 掲載日 12/18/2023 Location:Bratislava, Slovakia

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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 Bratislava, Slovakia.  

In this role at our state-of-the-art centre, 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 data into visually appealing and insightful representations that facilitate data-driven decision-making. You will collaborate closely with data scientists, analysts, and stakeholders to understand their requirements and translate them into interactive and intuitive visualizations.

Responsibilities

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Design, or a related field. 
  • 3+ years of proven experience as a Data Visualization Engineer, Data Analyst, or a similar role. 
  • Proficiency in data visualization tools such as QlikView, Qlik Sense, Qlik Cloud, data manipulation and analysis. 
  • Familiarity with data querying languages (SQL) and data warehousing concepts. 
  • Understanding of data architecture and models (Data Lake, Erwin). 
  • Solid understanding of data visualization principles, best practices, and design aesthetics. 
  • Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
  • Excellent communication and presentation skills, with the ability to effectively convey technical information to both technical and non-technical stakeholders. 
  • Detail-oriented with a strong focus on data accuracy and integrity. 
  • Ability to work in a fast-paced environment, manage multiple projects simultaneously, and meet deadlines.   

Skills and Qualifications

Required:

  • Proficiency in data visualization tools such as QlikView, Qlick Sense or Qlick Cloud, data manipulation and analysis. 
  • Understanding of data architecture and models (data lake, Erwin) OR Familiarity with data querying languages (SQL) and data warehousing concepts. 
  • Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 

Preferred:

  •  Power BI knowledge
  •  Excel and DAX functions
  •  Python or R understanding

What Takeda Can Offer You

At Takeda, you may build your career, while contributing to better people’s lives. Expect trust trust-driven culture built around Integrity, Fairness, Honesty, and Perseverance. Joining ICC will give you access to high-end technology, training and colleagues who will support your growth.

Salary

As a motivated employee, you should be compensated appropriately. The minimum salary for this position is € 2800 per month (full-time), but your final remuneration package may be higher depending on your qualifications and experience.

Benefits

Here are a few benefits our employees are enjoying at Takeda. To get a full picture of what we are offering, follow this link.

  • Cafeteria
  • Medical - Premium medical care
  • Bridge days
  • Summer Hours
  • Multisport Card

Your application and all conversations that occur with the recruiter, HR, and the hiring manager as part of that application will be treated in the strictest confidence.

#LI-Hybrid

Locations

Slovakia

Worker Type

Employee

Worker Sub-Type

Regular

Time Type

Full time
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