What is an Analytics Translator?
Analytics translators help ensure that organizations achieve real impact from their analytics initiatives. They are professionals who can translate business problems and customer needs into a successful Artificial Intelligence (AI) solution.
Analytics translators bridge the gap between data experts and business, enabling the execution of a company’s artificial AI strategy.
They translate between data experts and business, acting both as product owner and product manager.
Finally, analytics translators help finding opportunities for AI solutions that add value. They also help to promote AI in the organization.
Cross-functional, agile teams
Companies are using advanced analytics and AI to improve decision making across business processes. Data scientists build the analytics models that are capable of turning enormous amounts of data into insights.
The translators help ensure that organizations achieve real impact from their analytics initiatives.
To be successful with AI and analytics you need more than data scientists. You need cross-functional, agile teams that include data engineers, data architects, data-visualization experts and analytics translators. They may be part of the corporate strategy team, a functional center of excellence, or even a business unit assigned to execute analytics use cases.
Analytics translators need these skills: domain knowledge, general technical fluency, project management skills and an entrepreneurial spirit.
Analytics translators are going to be in high demand
Over the next few years, analytics translators are going to be in high demand.
For example, in the US alone, the potential demand for this new job role may range from two to four million professionals in the coming years.
Want to know more about analytics translators? Watch the videos below.
Analytics Translator Jobs
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