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Data Visualization - Analyst

1-2 years
Not Disclosed
10 May 21, 2024
Job Description
Job Type: Full Time Education: Any Graduate Skills: Python, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis

Application Process:

Eligible candidates may send their resume to:

  • Email: tripti.patra_c@teri.res.in

 

Job Opening: Data Visualization - Analyst

Organization: National Centre of Excellence on Green Shipping and Ports (NCOEGPS)

Application Deadline: May 31, 2024


Educational Qualification and Experience:

  • Degree Requirements:

    • Bachelor's degree in Data Science, Statistics, Information Technology, or a related field.
    • Master’s degree is a plus.
  • Experience:

    • Minimum of 2 years of experience in data analysis and visualization.
    • Proven experience with various data sources and manipulation tools (e.g., SQL, Python).
    • Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms.
  • Skills:

    • Excellent communication and presentation skills.
    • Strong analytical and problem-solving abilities.
    • Ability to work both independently and as part of a team.
    • Attention to detail and a commitment to high-quality work.

Roles and Responsibilities:

  • Collaborate with portal development teams to understand data needs, collect raw data, and identify key metrics for visualization.
  • Clean, transform, and analyze data from various sources to ensure accuracy and completeness.
  • Develop insightful dashboards and reports using data visualization tools (e.g., Tableau, Power BI) to communicate trends, patterns, and user behavior within the portal.
  • Query, analyze, and transform complex data sets to optimize dashboard flexibility and performance.
  • Conduct user research to understand user needs and preferences for data visualization within the portal.
  • Stay updated on the latest data visualization trends and technologies.
  • Present data and analysis clearly and concisely, enabling the senior leadership team to make data-driven decisions.
  • Employ best practices in data storytelling to create visually appealing presentations for both technical and non-technical audiences.

 

 

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