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What Is the Data Analyst?

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.  

What Education Should the Data Analyst Have?

The Data Analyst should have a University degree – bachelor or masters – in such fields as

  • mathematics,
  • statistics,
  • computer science,
  • or any other field that requires strong mathematical and analytical skills.  

What Skills Should the Data Analyst Possess?

There are many abilities that the Data Analyst should have to excel at his work. The most important among them are the following:

  • Math Skills – Strong mathematical skills are a must, since the Data Analyst evaluates numerical data;
  • Analytical Skills – The main duty of the Data Analyst is to analyze facts and figures and draw from the given numerical data appropriate logical conclusions;
  • Critical Thinking – Closely related to the analytical skills is critical thinking. It helps Data Analysts evaluate information, conceptualize, and synthesize it and, based on their inferences, reach answers to existing problems in the business;
  • Attention to Detail – It goes without saying that Data Analysts should pay close attention to every piece of information they receive. Data in business does not suffer approximation, so the Data Analysis should be extremely precise and accurate, when analyzing the collected information;
  • Communication and Writing Skills –Data Analysts study information to benefit the company and its customers. Hence, they need to know how to communicate, often in writing, their inferences and conclusions to the people responsible for implementing their findings into actions.

What Are the Data Analyst’s Job Duties?

Employed as Data Analyst, you will be expected to perform the following duties:

Writing Reports

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.     

Seeing Tends and Patterns in the Data

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.

Collecting Data

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.  

Collaborating with Colleagues and Clients

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.

What Tools Does the Data Analyst Use?

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.  

The Data Analyst Pre-Employment Assessment

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:

  • Coding and Decoding Information – Questions in this category measure how well job candidates understand coding guidelines and determine the correct code for the presented information. It also evaluates whether they can infer information from the given code.
  • Name and Number Checking – Tasks in this section estimate applicants’ attention to details and whether they can notice small differences between several sets of data.
  • Office Record Keeping – Tasks in this part of the Data Analyst Test require you to read and interpret information presented in graphs and tables, or other formats used for keeping records.
  • Interpreting Written Materials – The most important part of the Data Analysts’ duties is writing reports. Their ability to understand and interpret written materials is measured by questions posed in this category. Applicants are presented with a short passage accompanied by questions, which they need to answer according to the information presented in the passage.

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.

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