Job
Description
Role Overview: As a Data Visualization Engineer at Takeda's Innovation Capability Center in Bengaluru, you will play a crucial role in transforming intricate data into visually engaging representations to facilitate data-driven decision-making. Your primary responsibility will involve collaborating with various teams to develop interactive and intuitive visualizations that effectively communicate key metrics and trends. Key Responsibilities: - Work closely with cross-functional teams to comprehend data requirements and business objectives, translating them into impactful visualizations. - Develop interactive and visually appealing data visualizations, dashboards, and reports utilizing tools like Power BI and programming languages such as Python or R. - Collaborate with data scientists and analysts to identify key metrics and trends, designing visualizations that effectively communicate 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, staying updated with industry trends. - Optimize visualizations for performance, interactivity, and responsiveness to ensure a seamless user experience. - Conduct user testing, gather feedback, and enhance 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. - 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. Qualifications Required: - 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 Power BI (required) or QlikView (nice to have) and familiarity with programming languages like Python or R. - Experience in writing complex DAX functions in Power BI and Power Pivot. - Familiarity with data querying languages (SQL) and data warehousing concepts. - Advanced knowledge of Excel, including pivot tables, charting, macros, and 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 into actionable insights. - Good communication and presentation skills to convey technical information to both technical and non-technical stakeholders. - Detail-oriented with a strong focus on data accuracy and integrity.,
