Data Visualization Engineer

About the job
Role Overview: As a Data Visualization Specialist, you will be responsible for designing and developing interactive dashboards and visualizations that help our clients understand their data. You will work closely with cross-functional teams to gather requirements and deliver solutions that meet business needs. Your expertise in front-end technologies and data visualization tools will be crucial in creating compelling and easy-to-understand visual narratives.

Key Responsibilities:

Design and develop interactive dashboards and data visualizations using tools such as Power BI and Python.
Implement and maintain OLAP cubes and other database solutions to support data exploration and analysis.
Perform data exploration, analysis, and feature engineering to extract meaningful insights from large data sets.
Collaborate with stakeholders to gather requirements and translate them into technical specifications for dashboards and visualizations.
Develop front-end solutions using technologies such as HTML, CSS, JavaScript, and React to create user-friendly and visually appealing interfaces.
Optimize visualizations for performance and usability, ensuring they are accessible and informative.
Stay current with industry trends and best practices in data visualization and front-end technologies.
Key Skills and Qualifications:

Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
Proven experience in designing and developing dashboards and visualizations using Power BI, Tableau, or similar tools.
Strong proficiency in Python for data analysis and visualization (e.g., Matplotlib, Seaborn).
Experience with OLAP, database implementation, and data management.
Solid understanding of feature engineering and data exploration techniques.
Proficiency in front-end technologies (HTML, CSS, JavaScript) and frameworks such as React.
Excellent analytical and problem-solving skills, with a keen attention to detail.
Strong communication skills, with the ability to convey complex data insights to non-technical stakeholders.
Preferred Qualifications:

Experience with additional visualization tools like D3.js or Plotly.
Knowledge of machine learning and statistical analysis.
Certification in data visualization or related technologies.