A key trait of an analytically empowered organization is its investment in “humanware,” the right kind of people to extract value from the data and create insight. But what does “good look like” when it comes to analysts?
A good analyst has the capacity to analyze data and generate insight. Let’s have a look at those words in a bit more detail. An analysis represents a “detailed examination of the elements or structure of something” and insight is defined as “the capacity to gain an accurate and deep understanding of someone or something.” On that basis, the analyst needs to be able to look at data in detail and understand it. But it depends also on what you mean by “understand.” In addition to understanding the data, an analyst must also understand and communicate what it means for the organization. So here are five things to look for in an analyst:
A good analyst must be able to handle data – any data. While analysts may have a functional speciality, such as a web analyst or a customer insight, they have to be comfortable in handling any data sources they encounter. In the data world, two and two really does equal five. That’s because the value of data from one source increases when it is integrated with other data sources. Web analytics data is great, but it becomes even more valuable when it’s analyzed alongside voice-of-the-customer data, customer experience data, and other customer data.
For me, analysis is a blend of the creative and the deterministic. A good analyst can look at a set of data and begin to see what the data is telling her. Data tells stories and the analyst is there to interpret the data and make sense out of what the data is saying. It’s all about extracting signals from the noise.
Attention to Detail
On the other hand though, an analyst must have strong attention to detail. Data can be very nuanced at times; it might look like it’s saying one thing when in fact it’s saying something else. Or the data may be wrong. A good analyst must be able to spot problems with data that just doesn’t look right.
An analyst must be aware of the ramifications of the what the data is saying. She needs to add value to the analysis by not only explaining, “This is what’s happening and why” but by also elaborating on “This is what I think the impact is” and “This is what needs to be done about it.” The latter analysis tends to come with experience, but any analyst at any level needs to interpret outcomes and not just outputs of their work.
All the above counts for nothing if the analyst cannot get her message across within the business. She must articulate and communicate what the business needs to know. So good analysts need to have good verbal and written communication skills, possess the ability to construct an argument based on evidence, and tell stories.
A lot of these characteristics can be learned or developed over time. If you are looking to hire talent, be sure she is comfortable with data and has the ability to understand how the data relates to the business. When we look to hire an analyst, we ask candidates to create a presentation from a set of data. We want to know not only that they analyze the data but whether they can make sense of it and then articulate and present that message in a clear and convincing way.
Marketers need to know what’s in their data and trim out the filler to provide continuous, data-driven ROI for their brands.
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