When you want to start your career as a data analyst you may have some doubts in your mind as to what kind of job you would do on a day-to-day basis. While you may be aware of your main roles and responsibilities, you may have some confusion if your data analytics job is an IT job or not. All companies have separate departments like HR, Finance, Marketing, IT, Customer Support and more. Each department has specified job profiles. So, if you are wondering if a data analytics profile falls in the IT department, keep reading.
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IT Job – What does it mean?
Before answering the question if data analytics is an IT job or not, you should first know what an IT job actually is. The scope of an IT job is very vast, and there is no specific list of roles & responsibilities defining this job profile. However, according to industry experts, any job that involves the use of computing technology is an IT job.
An IT job profile need not be limited to that particular department alone. An IT professional can support different departments, as they use computing technology to support other functions that are in need of them. Dealing with computer programming, taking care of system hardware and providing technical support to other functions are some of the main divisions of an IT job. Based on these divisions, an IT job can be hardware-related (machine and physical parts of the computer-related) or software-related (programming related).
Systems Engineers, IT Support Executives, Network administrators, Computer Programmers, IT Security Experts and Data Scientists are some of the common IT job designations you will come across today.
Data analytics – an IT Job?
According to the above definition, data analytics is an IT job, without any doubt. This is because, as a data analyst you will use computing technology in the form of programming languages, codes, databases and more. However, you will be working only in the software sector of the IT industry, and not in the hardware framework or support departments.
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What makes data analytics an IT job?
By now, you would have got a clear idea about data analytics being an IT job. Do you want to know why? This is because of the following reasons:
- Data analysts deal with extracting, mining, organizing, visualizing and predicting data to help the management take crucial, data-driven decisions.
- They make use of querying languages like SQL to extract relevant information and programming languages like Python and R to write codes and create algorithms, and understand the past and future trends of data.
- They use various data analysis tools like Advanced Excel and visualization tools like Power BI & Tableau to create different outcomes for the same scenario, and help management take important steps toward business intelligence.
As you can see, in all of these steps, data analysts do use computing technology and tools. Even if you join at the entry-level, your job will involve the practical use of basic programming languages. So, data analytics can be definitely classified as an IT job.
Important skills required for a data analyst
If you want to become a data analyst, you have to gain knowledge in these areas immediately. Even if you don’t have extensive knowledge of these topics, it is very important for you to know the basic concepts of the following:
- Mathematical knowledge, especially in the areas of linear algebra, geometry, trigonometry and calculus
- Statistical knowledge, especially in the areas of probability distribution, regression analysis and hypothesis testing
- Technical skills in programming and coding languages, preferably Python, R, JavaScript, knowledge of ETL frameworks and the like
- Knowledge of data analysis tools like Advanced Excel, SAS and SPSS
- Basic concepts of data processing tools like PySpark and Apache Spark
- Knowledge of navigating through data visualization software like Power BI, Tableau and Qlik
Soft skills required for data analysts
- Ability to create stories, patterns and relationships from numbers
- Ability to come up with timely, practical and innovative solutions to all business problems
- Having a keen eye for the minute details
- Expertize in presenting and writing reports
- Knowing how to work in big teams
- Excellent oral and written communication skills
You can become a successful data analyst only if you hone these technical and soft skills. You will find many online and offline programs teaching you the basics of computing, mathematics, statistics and all other concepts that help you get into data analytics. 360digiTMG Pune offers you a two-month training program for each of the data visualization tools, Power BI and Tableau. Spending four months learning these tools will widen your knowledge in the subject of data science & data analytics. Also, these training courses come with placement assistance. So, you can get placed in one of the big names like Amazon, Korean Air, Wipro, Cognizant, HP and more, once you complete the courses.
Can I become a data analyst without computing knowledge?
Unfortunately, the answer to this question is no. TodayIO, all data analysts (across industries and job levels) are required to know the basics of computing tools like SQL, Excel, SPSS, VBA, Jupyter Notebooks, R, Tableau, Power BI and Statistical Analysis Systems. Many companies look for candidates who have studied computer science in their twelfth or bachelor’s degree.
People with a degree in computer science (like B.Sc. in Computer Science, B.E. in computer science engineering, B.Tech, Bachelor’s or Master’s in Computer Applications and related qualifications) are definitely given preference over non-computer science candidates in interviews for data analyst positions.
If you don’t have a computer science degree, don’t feel disheartened. Luckily, all computer programming languages & data processing, analysis & visualization tools can be easily learned online. Take up these courses before applying for the position of data analyst anywhere. With data analytics being recognized as an IT job, it is only natural you do your homework, and then follow your dream of getting into this field and working hard to earn a name for yourself in this niche profile.
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