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Data Visualization Analyst (Qqbb.cl)

Company

qqbb.cl

Address United States
Employment type PART_TIME
Salary
Expires 2023-08-20
Posted at 9 months ago
Job Description

A Data Visualization Analyst is responsible for transforming complex data sets into visual representations that can be easily understood by stakeholders. They use various data visualization tools and techniques to present insights, trends, and patterns in data to aid decision-making processes.

Responsibilities:

  1. Data Analysis: Collect and analyze large datasets from various sources to extract relevant information and insights.
  2. Data Visualization: Create visually appealing and interactive dashboards, reports, and charts to represent complex data in a clear and concise manner.
  3. Tools Utilization: Use data visualization tools like Tableau, Power BI, QlikView, D3.js, or others to create visualizations.
  4. Storytelling: Translate data into meaningful stories that can be easily understood by non-technical stakeholders.
  5. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and visualize data-driven solutions.
  6. Quality Assurance: Ensure accuracy and consistency in data visualizations and verify that they meet the intended objectives.
  7. Trend Analysis: Identify trends and patterns in data and highlight key insights to support business decisions.

Requirements:

  1. Education: Typically, a bachelor's degree in Computer Science, Data Science, Statistics, Information Systems, or a related field is required. Some roles may prefer a master's degree.
  2. Technical Skills: Proficiency in data visualization tools like Tableau, Power BI, or similar is essential. Knowledge of programming languages like Python or R can be an added advantage.
  3. Data Analysis: Strong analytical skills and the ability to work with large datasets are crucial.
  4. Creativity: An eye for design and creativity to present data in an engaging and informative manner.
  5. Communication: Excellent communication skills to convey complex technical information to non-technical stakeholders effectively.
  6. Problem-Solving: The ability to identify business challenges and provide data-driven solutions.
  7. Domain Knowledge: Familiarity with the industry or domain in which the company operates can be beneficial.