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Data Visualization Specialist

The data visualization specialist will support the Data Science team to distil audience data and knowledge, transform abstract information from data analyses into comprehensible and attractive visuals that brings data to life.

This role is critical to help the team contribute to a growing movement toward data-driven insights and decisions-making to improve business practices.

Key Responsibilities:

• Team Work and Business Acumen: Work with data scientists and business stakeholders (e.g. Marketing / Relationship managers, research team, Creative Team etc.) to pinpoint vital information for communication

• Synthesize Data: Use various tools (e.g. SQL, SAS, Adobe Analytics) to synthesize data from data ecosystem

• Visualize Data: Create data visualizations that integrate vast data concepts into digestible and concise charts using various BI tools, e.g. Tableau, Alteryx, R, etc.

• Tell Story: Distill qualitative and quantitative insights into compelling stories and communicate to non-technical audience in clear and concise language.

• Distribute Data Visualization: Manage and deploy technologies to distribute visual analytics and reporting across the organization

Requirements:

Bachelor’s degree or foreign equivalent in mathematics, statistics, engineering, or computer science or related field required. • 3-5 years of data visualization design experience o Data visualization work showcase are highly recommended during interviews. • Experience BI tools such as Tableau, Alteryx, R and etc. • Experience with SQL and SAS to synthesize data • Creative understanding of visual art design • Excellent verbal, written, and visual communication skills are required • Experience with web technologies is a plus, e.g. HTML5, CSS, JavaScript The data visualization specialist will support the Data Science team to distil data and knowledge, transform abstract information from data analyses into comprehensible and attractive visuals that brings data to life. This role is critical to help the team contribute to a growing movement toward data-driven insights and decisions-making to improve business practices.

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