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Data Visualization Engineer

Data Visualization Engineer

TakedaIND, Bengaluru
9 days ago
Job description

Description

The Future Begins Here

At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.

Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.

At Takeda’s ICC we Unite in Diversity

Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse 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

  • Work closely with cross-functional teams to understand data requirements and business objectives, and translate them into effective visualizations.
  • Develop interactive and visually appealing data visualizations, dashboards, and reports using a variety of tools and technologies.
  • Work also as a data scientist and analysts as needed to identify key metrics and trends, and design visualizations and data science models that effectively communicate the findings.
  • Conduct thorough data analysis to ensure accuracy, completeness, and integrity of visualized data.
  • Explore and recommend new tools, technologies, and best practices for data visualization and data science , staying updated with industry trends and advancements.
  • Optimize visualizations for performance, interactivity, and responsiveness to ensure seamless user experience.
  • Conduct user testing and gather feedback to improve the usability and effectiveness of data visualizations.
  • Present findings and insights to stakeholders in a clear and concise manner, making complex data accessible to both technical and non-technical audiences using data visualization and data science models.
  • Collaborate with the development team to integrate visualizations into existing systems or applications.
  • Document design choices, methodologies, and best practices to ensure reproducibility and scalability of visualizations.

Skills and Qualifications

  • 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 with some basic understanding of data science.
  • Proficiency in data visualization tools such as Power BI (required) or Tableau and familiarity in programming languages like Python or R for data manipulation and analysis.
  • Experience in writing complex DAX functions in Power BI and Power Pivot.
  • Familiarity with data querying languages (SQL) and data warehousing concepts.
  • Basic understanding of Data Science AI / ML models.
  • Understanding of data architecture and models (data lake, erwin).
  • Advanced knowledge of Excel (pivot tables, charting, macros, calculations).
  • 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.
  • Good 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.
  • WHAT TAKEDA CAN OFFER YOU :

  • Takeda is certified as a Top Employer, not only in India, but also globally. No investment we make pays greater dividends than taking good care of our people.
  • At Takeda, you take the lead on building and shaping your own career.
  • Joining the ICC in Bengaluru will give you access to high-end technology, continuous training and a diverse and inclusive network of colleagues who will support your career growth.
  • BENEFITS :

    It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are :

  • Competitive Salary + Performance Annual Bonus
  • Flexible work environment, including hybrid working
  • Comprehensive Healthcare Insurance Plans for self, spouse, and children
  • Group Term Life Insurance and Group Accident Insurance programs
  • Health & Wellness programs including annual health screening, weekly health sessions for employees.
  • Employee Assistance Program
  • 3 days of leave every year for Voluntary Service in additional to Humanitarian Leaves
  • Broad Variety of learning platforms
  • Diversity, Equity, and Inclusion Programs
  • Reimbursements – Home Internet & Mobile Phone
  • Employee Referral Program
  • Leaves – Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
  • ABOUT ICC IN TAKEDA :

  • Takeda is leading a digital revolution. We’re not just transforming our company; we’re improving the lives of millions of patients who rely on our medicines every day.
  • As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
  • Locations

    IND - Bengaluru

    Worker Type

    Employee

    Worker Sub-Type

    Regular

    Time Type

    Full time

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