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Advanced analytics business translator

Job profile:


Career zone:

The transformation driver

What is an advanced analytics business translator and what do they do?


An advanced analytics business translator works with customised analytics models and algorithms to identify actionable insights within large internal and external data sets.

Key responsibilities

Responsibilities will vary, but examples include:


  • drawing on domain knowledge to help business leaders identify and prioritise high-impact business problems
  • using working knowledge of AI and analytics to translate the business problems to the data professionals who create the models and analytics applications
  • ensuring that the application created produces insights that the business can interpret and act on, and communicate these insights to business users to drive adoption and ensure discussions on the implementation, supporting, if needed, potential corrective actions
  • advocating and driving a culture of data-driven and fact-based decision making.

Why are they important?


This emerging role is very important as it helps to ensure that the company achieves its strategic objectives in areas such as resource allocation, commercial return, and new launches with fact-based decision making.

Advanced analytics business translators also play an essential role in creating a bridge between the technical expertise of data engineers and scientists, and the business understanding of different areas across the company. This helps to ensure that insights generated through analytics are contextualised and translated into impact at scale.

They also act as a bridge between technical and business teams – equal parts technical and functional in their expertise and interests.

Person specification

Typical skills needed include domain knowledge in a specific area eg banking, coupled with  mastery of project management skills, which are essential. As an analytics translator, you should be able to guide an analytics project from ideation through production and adoption. This means you understand the life cycle of an analytics project and are aware of the common pitfalls. 

Strong Collaboration skills are also essential as you will need to build bridges between the functional and technical teams while challenging each team about their assumptions. 

Also, as an analytics translator, you possess strong quantitative skills and you solve problems structurally, applying your business acumen

Although not necessarily expected to be able to build analytics models yourself, you need to be knowledgeable of the types of model that are used and the business problems to which they can be applied and have excellent understanding of the relevant technology.

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