As a Data Analyst you will be asked to pull data from at least one platform, often times multiple. Given the nature of the industry, the sources of data are constantly changing and new platforms are always in a state of development. To be a successful analyst you must be comfortable having to pull data from a platform that you may have little or no training with, and to learn from doing. Do not be scared to jump into an interface you have never worked with before.
There are often several people or committees that will provide input about the report you have created before it gets sent to the client. In order to be a strong link in your team, you have to take the feedback and make the changes without getting annoyed or offended. Just because you know the data does not mean you know everything about the client, and it is important to remember that other members of the team may know more about what they are looking for.
While it may be frustrating to go back and slightly manipulate the data twelve separate times, those advising you have an end goal in mind; to be a productive and helpful member of the team you must be able to approach every edit with a good attitude. If you do not have a genuine interest in data and statistical analysis, then analytics is not for you. More than most professions, you will quickly become miserable without an enthusiasm for numbers and spreadsheets.
If you are entering analytics purely for the money or the fame, you may want to reconsider career fields. It is always good to learn new interfaces quickly, but nothing beats the strong, in-depth understanding of the tools used that comes from training. Many companies that made the platforms you use to pull data have also created terrific tutorial videos to train people how to use them. Google, for example, has hours of videos to give their users a better understanding of Google Analytics, AdWords, Tag Manager, and other tools.
Beyond the officially-released training materials, there are several third party websites that give some insight in using the tools. KhanAcademy, for example, has over one hundred videos on how to use Microsoft Excel, and even more articles with more user information. There is also a seemingly endless supply of forum boards to ask any question you may have and oftentimes the question has already been asked and answered.
Once you know what tool s you will primarily be using, I urge you to invest the time in becoming trained or even certified. Are there certain traits, attributes and qualities that can make you outstanding in your chosen field? If so, how can we transform these personal skills into practise that can help generate success in what we do? These are habits that can be mastered to achieve greater benefits.
This article is written directly to analyst s who strive to become a champion in his or her role. However, if you currently or in the future will manage a team of analyst, this article can also help managers to look out for the characteristics they may wish to develop within their respective team. A lot of organisations have invested money in tools. Having the right tools is required but not sufficient. Investing in the people who use the tools is much more important!
The challenge is that good analysts can be hard to come. Why do I need to be a good story teller? Because people respond well, with information, within a story. They might not be able to remember all the story. Data needs someone to clarify and simplify it in a way that the line of business, project managers and the project team will understand. A good analyst must be able to communicate or present ideas clearly and confidently such that a non-technical audience can grasp the subject matter easily and also, this can help sway decision makers toward the right decisions.
Spend Less Time on Data Preparation. A good analyst should pay attention to details, this can help him or her to question or manage suspicious events during any data analysis project to avoid making a costly mistake down the line. A good data analyst must have a firm understanding of the business operations. In any organisation, the analyst must be commercially aware of the customer, people within his or her team, different departments and the line of business.
The analyst must recognise and differentiate the true impact of their analysis and how it can affect the organisations decisions commercially. A good analyst is a change champion. Are You? By signing up, you agree to our Privacy Policy. This is the foundation…But then you must do a little more. They use active listening techniques to ensure stakeholders feel heard. Good business analysts are both professional and good to work with.
That being said, good business analysts know how to manage within business analysis. They are proactive and dependency aware. They manage themselves to commitments and deadlines. They get stakeholders involved at the right times and in the right ways and keep everything moving.
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