Who is a Data Analyst?
Nowadays, organizations obtain a terrific amount of data each day that can be used to optimize their strategies. To get insights from the massive information collected, they need a relatively qualified professional: The Data Analyst.
The task of a Data Analyst is to process the different data regarding the customers, the products, or the performances of the company, to release indicators useful for the decision-makers. Thus, the records provided through the data analyst allows organizations to outline the products to be supplied to clients according to their needs, the advertising method to adopt, or the improvements to be made to the manufacturing process.
Skills of the candidate can be similarly categorized into three categories, let us talk about them in detail:
Programming Languages: As a data analyst, you have to be expert in at least one programming language. However, the more languages you are proficient in, the better it is. Popular programming languages that can be used to manipulate statistics are R, Python, C++, Java, MATLAB, PHP, and more.
Data Management and Manipulation: As a data analyst, you need to be acquainted with languages, such as R, HIVE, SQL, and more. Building queries to extract the preferred statistics is an vital component of data analysis. Once you have analyzed the data, you would have to create accurate reports. Some general tools for doing the same are SAS, Oracle Visual Analyzer, Microsoft Power BI, Cognos, Tableau, and more.
Domain Knowledge and Excellent Communication Skills: A data analyst’s job is to provide specific and accurate statistics to the decision-makers. Hence, data analysts should understand the specific consumer requirements, alongside with having a deep understanding of the data. Excellent communication abilities are fundamental for collaboration with the a variety of clients, executives, IT specialists, to make sure that the data aligns properly with the business objectives. Ultimately, the analysis done by a data analyst modifies/improves some business processes.
High Level of Mathematical Ability: Knowledge of facts and the right relief level with formulae required for examining data to supply real-world value. As a data analyst, you should have a accurate grasp of mathematics, and you should be capable to remedy common business problems, for example, calculating compound interest, depreciation, statistical measures (for example, mean, median, mode). Also, you need to understand how to use tables, charts, graphs, and more. It is integral to be comfortable with college-level algebra, thereby Making visualization of information greater appealing. Knowing linear algebra and multivariate calculus is very useful for data analysts as they are all substantially used in performing Data Analysis.
Microsoft Excel: Organizing records and calculating numbers are among the major duties of data analysts. Hence it is advisable if you are satisfied with the usage of Excel.
Data Analyst Career Path
Skilled data analysts are in demand in almost every sector. Hence, it doesn’t come as a shock that the expected increase rate in demand for data analysts for the next seven years is 19%. Data analysis is considered to be the most indispensable skill, so each and every professional ought to learn Data Science as quickly as possible to excel in a career. Some industries where the demand for data analysts is quite high are as follows:
Market Research: 72% of marketers consider data analysis to be crucial for thriving in the existing advertising landscape. The success of the marketing campaigns can be understood using data analysis. Also, data analysis can be used by organizations for a market research before launching a new product or service.
Finance and Investments: Financial establishments typically require entry-level data analysts as well as professional ones. At many financial institutions, such as funding banks, the most common career course taken by data analysts is that of management. If you prove to be the quality among your peer group, you are considered for promotion by the senior administration as they think about you as someone who could manage new hires well.
Sales: There are many data associated to sales of products and services in an organization that is analyzed, which helps in increasing income and customer pleasure and also in figuring out the attainable income barriers. Hence, a requirement for records analysts arises in this sector, as well.
A data analyst fresher makes a handsome salary, and the range of the income relies upon on his/her understanding and skill-set. The competencies required as a fresher may vary across the industry.
For example, the regular job of a Data Analyst is to run queries against the available data for finding the necessary developments and processing the data that might be of use to Data Scientists. In general, the Data Analysts are very appropriate at database question languages, for example, SQL. They may additionally also write scripts and produce visuals on the data available to them for better understanding.
A Data Scientist, on the other hand, builds models using Machine Learning. These models are used to make various predictions and can also provide an explanation for the future of the organization. Data Scientists work carefully with Data Analysts whilst making ready the data to be used for the machine learning models. However, the salaries of Data Scientists are a great deal higher than those of Data Analysts because of very high demand and low supply.
Many Data Analysts acquire applicable skills and grow to be Data Scientists. The transition to turning into a Data Scientist is not very challenging for Data Analysts considering the fact that they already have some applicable skills. Many Data Analysts go on to end up Data Scientists.
The designations of a Data Analyst would depend on the organization he/she works. However, generally, the technical work of the Data Analysts keeps on decreasing, and the managerial work keeps on growing as they climb up the company ladder. After a sure point, the promotion begins to rely on the management and managerial skills. Hence, Data Analysts need to work on their soft skills as well.
How to Become a Data Analyst?
If you desire to switch being a data analyst but have experience in the industry, you can possibly begin by registering with Bizmarrow technology a computer training school that offers practical hands on training on how to become a data analyst, the course would make your foundation strong in the subject, additionally allowing you to build practical projects and learn and advance your skills. Moving on, you can get into an internship or pick up some freelance work to attain experience and add to your profile this way would stand out and have a part when you start searching for a high profile job as a data analyst.