Data Analysts convert numbers into language. They collect and organize required information and, after having analyzed it, make important conclusions about the studied area of the business. There are different types of data that specialists may be required to gather and organize. Depending on the company’s business, they may be asked to examine information concerning sales, inventory, customers, or social media.
Every company that cares about the blossoming of its business has the Data Analyst on board. No matter what the company does, whether it sells food, clothes, or cryptocurrency, or whether it provides marketing or healthcare services, it would want to know more about the needs of its customers and the state of the market in which it participates. There are thus different types of data analysts: operations analyst, financial analyst, and marketing analyst.
To help the company move its business forward, the Data Analyst needs to use or even develop a special system for gathering new information and then write reports summarizing it in a clear, understandable language. The most important task that the Data Analyst performs is drawing right conclusions from the collected data. Based on these conclusions, the company’s managers will make business decisions. By analyzing information, the Data Analyst thus adds value to the company.
The Data Analyst should have a University degree – bachelor or masters – in such fields as
There are many abilities that the Data Analyst should have to excel at his work. The most important among them are the following:
Employed as Data Analyst, you will be expected to perform the following duties:
Because Data Analysts need to share your conclusions with others, they are engaged in writing reports, internal and client-facing ones. In these reports, Data Analysts summarize what is new on markets or what new trades have recently appeared, thereby giving fresh insightful ideas to their managers. Yet do not run with the idea that composing reports is easy. Converting data gauged from tables and diagrams into a meaningful, informative narrative is challenging, because it should be understood by people who make business decisions and who may not be analysts. Data Analysts should have good writing abilities to express clearly to non-specialists what statistical information implies and what consequences it may have for the development of the business.
It is not particularly useful for the business development to analyse only freshly collected information. Noticing changes or lack thereof in the data over time is far more important. Any Data Analyst thus should be able to trace a trend or pattern in the given data. Only when significant patterns are inferred, will the Data Analyst’s conclusions make a meaningful impact on the business and customers.
This is the most basic and technical task Data Analysts perform in their workplace. Yet developing strategies and routes for finding data is the most crucial for their success. Without finding relevant information to analyze, their contribution to their company will be nil. In tandem with web developers, Data Analysts thus work hard on optimizing data collection and improving specific tools and software to mine as much revealing information as possible.
Data Analysts never work alone. Although they may collect information and analyze it independently, they do not keep it to themselves but transmit it to other people involved in the business. Data Analysts collaborate with many departments in their organization, working together with co-workers and managers who use the transmitted data to make business decision. They also join forces with people from whom they gather research questions or feedback.
Depending on the field in which Data Analysts work, they have various venues through which to gather information. The most common among them are news sites, social media, google analytics, and google trends. The tools that Data Analysts most often use are Excel, Google Analytics, Google AdWords, Google Tag Manager, SQL, and Visual Website Optimizer, among others.
Many employers include the Data Analyst Test into their pre-hire assessment of those job candidates who are vying for the role of the Data Analyst. This test is designed to show how well their potential employees can understand, organize, and analyze new information. To make the assessment of candidates’ analytical skills more precise and comprehensive, the creators of the Data Analyst Test have divided its tasks into four categories:
Like the majority of the pre-employment assessments, the Data Analyst Test is timed. You will have less than a minute to answer each question. A short time limit may be pressurizing. You will feel less anxious and hurried on your actual examination if you practice for your test in advance. By preparing with JobTestPrep’s high-quality materials, you may familiarize yourself with the test’s questions and learn how to answer them under time pressure, improving your own time record by the day of your examination. Practice with our resources, score high on your Data Analyst Test, and prove to your recruiters that you can channel your analytical skills to the betterment of their business.
JobTestPrep has a mission to assist job applicants with employment. To accomplish it, we develop accurate test simulations and interview materials, supplying them with score reports and answer keys. Study with our materials and realize your ambitions to work as a Data Analyst in your chosen company.