Data Visualization Analyst (Wwxd)

As a Data Visualization Analyst, your primary responsibility will be to transform complex data sets into visually appealing and insightful visualizations. You will work closely with data scientists, business analysts, and stakeholders to understand their requirements and translate them into compelling data-driven narratives. Your role will be essential in aiding decision-making processes by presenting data in a clear and understandable manner.

Responsibilities:

1. Data Visualization: Design and develop interactive and static visualizations, dashboards, and reports using industry-leading tools (e.g., Tableau, Power BI, D3.js) to communicate complex data insights effectively.
2. Data Analysis: Collaborate with data analysts and scientists to understand data structures and perform exploratory data analysis to identify patterns, trends, and outliers.
3. Storytelling: Create compelling data stories and presentations to communicate findings to non-technical stakeholders, enabling them to make data-informed decisions.
4. Data Cleaning and Preparation: Validate and clean datasets to ensure accuracy and reliability of visualizations and reports.
5. User Experience: Focus on user experience design principles to create intuitive and user-friendly data visualizations.
6. Data Visualization Best Practices: Stay up-to-date with data visualization trends, best practices, and emerging technologies to continually improve visualization capabilities.
7. Collaboration: Work closely with cross-functional teams to understand business requirements and provide actionable insights through visualizations.
8. Data Governance: Ensure data privacy and security measures are followed in accordance with company policies and regulations.

Requirements:

1. Educational Background: A Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or related fields is preferred.
2. Data Visualization Experience: Proven experience in designing and developing data visualizations using tools such as Tableau, Power BI, or D3.js.
3. Analytical Skills: Strong analytical and problem-solving skills to interpret complex datasets and present meaningful insights.
4. Programming Skills: Proficiency in programming languages such as Python, R, or JavaScript for data manipulation and visualization enhancements.
5. Communication: Excellent communication and presentation skills to convey technical information to non-technical audiences effectively.
6. Data Literacy: A solid understanding of data concepts, data modeling, and data governance principles.
7. Attention to Detail: Meticulousness in ensuring the accuracy and reliability of data visualizations.
8. Team Player: Ability to work collaboratively in a fast-paced, team-oriented environment.
9. Portfolio: A portfolio showcasing past data visualization projects and achievements would be advantageous.