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Data Visualization Expert

Data Visualization Expert

VolibitsBengaluru, Karnataka, India
8 days ago
Job description

Job Title :

Data Visualization Expert – Amazon Quicksight

Location : Bangalore / Chennai, India

Experience Required : 4–5 Years (Minimum 2 years of hands-on experience specifically with Amazon Quicksight)

About the Role :

We are seeking an experienced and detail-oriented Data Visualization Expert with a strong background in Amazon Quicksight to join our Cross-Functional and Emerging Technologies Unit . In this role, you will be responsible for designing and developing compelling and user-friendly data visualizations that enable business stakeholders to make informed decisions. You will work closely with cross-functional teams, including data analysts, engineers, architects, and business users to transform complex datasets into intuitive dashboards and reports.

This position is ideal for someone who is passionate about data storytelling, has strong analytical capabilities, and is adept at leveraging Amazon Quicksight in an AWS ecosystem.

Key Responsibilities :

  • Data Visualization Development :
  • Design, develop, and deploy interactive dashboards and reports using Amazon Quicksight .
  • Translate complex and large datasets into visually appealing and easily digestible insights.
  • Data Analysis & Modeling :
  • Collaborate with business analysts and stakeholders to gather data requirements.
  • Transform raw datasets into meaningful insights by building efficient and scalable data models.
  • Analyze trends and key metrics to support business decisions.
  • UI / UX for Dashboards :
  • Ensure visualizations are intuitive, accessible, and aligned with best practices in user interface and experience (UI / UX) design.
  • Continuously optimize the user experience based on feedback and usability testing.
  • Data Integration :
  • Collaborate with data engineers and architects to integrate various data sources into Amazon Quicksight.
  • Ensure seamless data flow from source systems for real-time, up-to-date reporting.
  • Performance Optimization :
  • Monitor and optimize dashboard performance and loading times.
  • Troubleshoot issues related to data refreshes and visualization rendering.
  • Security & Compliance :
  • Adhere to data security and privacy standards while handling sensitive information.
  • Maintain compliance with organizational data governance policies.
  • Documentation & Training :
  • Document visualization logic, development process, and end-user guidance.
  • Provide training to stakeholders on dashboard usage and data interpretation.
  • Agile Project Participation :
  • Participate in daily stand-ups , sprint planning, and review meetings as part of an Agile / Scrum team.
  • Use Agile tools such as Jira and Confluence to manage and document project activities.
  • Collaboration & Communication :
  • Work closely with Project Managers, Solution Architects, and client stakeholders.
  • Lead technical discussions to propose and implement best-fit solutions.
  • Coordinate with cross-functional teams to ensure alignment of business goals and technical execution.

Required Skills & Qualifications :

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
  • 4–5 years of experience in data visualization , analytics, or business intelligence roles.
  • Minimum 2 years of hands-on experience with Amazon Quicksight .
  • Strong understanding of SQL and working with large-scale relational databases.
  • Solid knowledge of AWS ecosystem and its integration with Quicksight.
  • Experience working with multiple data sources and designing efficient data models.
  • Familiarity with Agile methodologies , including Scrum / Kanban workflows.
  • Strong communication skills, both verbal and written, with the ability to explain complex data concepts to non-technical audiences.
  • Understanding of secure coding practices , including unit testing frameworks, quality gates, and code coverage standards.
  • Nice to Have :

  • Experience with other data visualization tools such as Tableau .
  • Background in data engineering and data pipeline development.
  • Exposure to AI / ML projects and familiarity with AI-driven dashboards or predictive analytics models.
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