FAQs
What is the primary responsibility of a Snr Data Viz Specialist?
The primary responsibility is to transform complex data sets into visually compelling and easy-to-understand insights, enabling stakeholders to make data-driven decisions.
What data visualization tools should I be proficient in for this role?
You should have experience with visualization tools such as Tableau, Power BI, D3.js, or similar.
What qualifications are required for this position?
A relevant tertiary qualification in Data Science, Computer Science, Graphic Design, Statistics, or a related field is required, along with 4+ years of experience in data visualization, data analysis, or a related field.
Is a portfolio required?
Yes, a portfolio showcasing previous data visualization work, including dashboards, charts, and interactive visualizations, is required.
What are some daily activities of a Snr Data Viz Specialist?
Daily activities include meeting with stakeholders to understand visualization needs, developing and refining dashboards, collaborating with data engineers, testing visualizations, providing training, and researching new visualization techniques.
Are there any technical requirements for this role?
Yes, familiarity with SQL, basic knowledge of programming languages such as Python, R, or JavaScript, and an understanding of data structures are required.
What soft skills are important for this position?
Important soft skills include excellent communication skills, strong attention to detail, the ability to work independently and collaboratively, and effective time management skills.
Will I need to collaborate with other teams?
Yes, collaboration with cross-functional teams such as Product, Marketing, and Sales is an essential part of the role.
Is experience in statistical analysis necessary?
Yes, experience with statistical analysis and performance metrics is needed for this position.
What can I expect in terms of staying updated on industry trends?
You will be expected to research and stay informed about new visualization techniques and technologies to enhance your work and the overall visualization framework.