Data Visualization Specialist

5 days ago

Bengaluru, Karnataka, India beBeeDataVisualization Full time US$ 90,000 - US$ 1,20,000
Job Summary

The Visualization Specialist will be responsible for designing, developing, and implementing data visualization solutions to support business intelligence, reporting, and analytics needs.

This position requires a strong background in data visualization, experience with data manipulation, and the ability to develop effective solutions that meet business requirements.

The Visualization Specialist will work closely with cross-functional teams to gather requirements, design and implement solutions, and provide ongoing support.

Key Responsibilities:

  • Design, develop, and implement data visualization solutions to support business intelligence, reporting, and analytics needs.
  • Work closely with cross-functional teams to gather requirements and design effective solutions.
  • Utilize data manipulation techniques to extract and transform data from various sources.
  • Create dashboards and reports that effectively communicate complex data and insights to stakeholders.
  • Collaborate with data analysts and data scientists to ensure data accuracy and quality.
  • Develop automated data visualizations to support ongoing monitoring and reporting needs.
  • Maintain and support existing data visualization solutions.
  • Data Validation and UAT on the reports.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Information Systems, or related fields.
  • 3+ years of experience in data visualization, business intelligence, or analytics.
  • Strong proficiency in data manipulation, visualization, and reporting tools (e.g., Tableau, Power BI, QlikView).
  • Experience with SQL and data modeling.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment and manage multiple priorities.

Preferred Qualifications:

  • Experience with one or more programming languages such as Python, R, JS, or Java.
  • Experience in Descriptive statistics.
  • Familiarity with OLAP, data warehousing, data modeling, and ETL processes.
  • Exposure to data science and machine learning concepts.

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