How to Become a Data Analyst

Namit June 15, 2020




How to Become a Data Analyst


 Hello everyone, and welcome! It’s time for an another 365 Data Science special, and this point we’ll mention an alternative way of stepping into data science. That’s right – we’ll mention becoming a Data Analyst. More specifically, we’ll check out who the data analyst is, what do they are doing, how they fare in terms of salaries, and what skills and academic background   you'd wish to  to become one. But before we start, we just want to remind you that there are several attention-worthy career opportunities you'll explore within the sector of information science itself – and those are:• Data Analyst;• BI Analyst;• Data Engineer;• Data Architect  and of course, •Data Scientist. Who is that the Data Analyst exactly? Data analysts are the real troopers of data science. They’re people who are involved in gathering data, structuring databases, creating and running models, and preparing advanced types of analyses to elucidate the patterns in the data that have already emerged. A data analyst also overlooks the essential part of predictive analytics. That’s the “elevator pitch of the data analyst”. But to really get an inspiration of what it means to be a part of a team like that, we'd like to look at what a knowledge analyst does because it seems, quite lot. A data analyst is both a thinker and a doer who doesn’t hesitate to roll up their sleeves and probe the numbers. Data analysts extract and analyze data with a “can do” approach then present data-driven insights to underpin deciding. They also develop and build analytics models and approaches because the basis for a company’s strategy and vision. On top of that, they're often responsible for identifying and extracting key business performance, risk and compliance data, and converting it into easy-to-digest formats. So, as you'll see, agility to shift between strategic projects and operational activities a must. If you think that that sounds a touch lonely…Think again! Data analysts are great team players and work closely with various departments and leaders within the organization. That’s super important if they need to be effective during this role. So, the power to speak well and influence is critical here. So what does all this mean in terms of salary? How much does a data analyst earn? Glassdoor and PayScale were kind enough to share their insights. If you’re taking the primary steps in your data analyst career, you'll expect an average pay of $57,000.As you reach 4-6 years of experience, your compensation also will go higher ($68,000median annual salary and a mean bonus of $4,705).You’re based within the UK? The average compensation for data analysts with but 1 year of experience (including bonuses and overtime pay) is £23,870.In terms of knowledge analyst job growth, if you already have 1-4 years of experience as a data analyst, you'll expect annual earnings of £25,853.That said, let’s address the elephant in the room and mention the way to become a data analyst. Are you now considering a career as a data analyst? As we already mentioned, that’s certainly a great choice to explore, both on its own and as a gateway into data science. However, there are a several points you should consider before you'll determine with confidence whether a career in data analytics is the best career path for you. First on this list – Education. What education does one got to become a data analyst? Well, a Bachelor’s degree in IT, computer science or statistics will offer you a strong advantage. However, equivalent experience in data and business analytics also fit the bill. The good news is, even if you lack the background and the experience, you continue to have a good chance of getting employment as a knowledge analyst. There are various ways to find out, like taking qualification trainings or completing an online course or two that’ll offer you the foundation you got to match your teammates’. Both paths should increase your chances to land an internship at a high-profile company and build your career from the bottom up. Some of you would possibly be thinking right about now that an entry-level position just doesn’t have a glamorous enough ring there to, and it isn’t how you imagined launching a successful career as a knowledge analyst. But this just could also be the simplest thanks to achieve your goal. In most companies, you’ll be ready to gain valuable experience and cash in of many in-house training opportunities. Ultimately, compile enough qualifications and skills, and you'll become a highly competitive work candidate. Speaking of qualifications and skills, what data analyst qualifications you ought to acquire to begin with? Well, as a knowledge analyst, you’ll have plenty of tasks to juggle on daily bases. That means you’ll need a spread of skills, including technical, practical, and soft. Obviously, you’ll need some programming background in Python, R, or the likes. You’ll also got to have some expertise in SQL and an honest understanding of how relational database management systems work. In that sense, it might be optimal if you know the way to extract and analyze data from diverse resources (meaning multiple data marts and file formats).Knowledge of Tableau and the way to figure with large data sets is additionally a very big plus. Have you ever heard of Microsoft Excel? You won’t make it within the sector of data analysis if you haven’t. Make sure to familiarize yourself with some of the more advanced analytics and formulas before you enter your next employment interview. Finally, some things are learned on the work, an good grasp of statistics  and a capability to work with variety of the best statistical software packages is sort of a prerequisite here. But know your way around quantitative methods, confidence intervals, sampling and test/ control cells, and predictive modeling, and you’re well on your thanks to the realm of knowledge analysts. What about practical skills then? Given everything we’ve discussed to this point, it shouldn’t come as a surprise that there’s a decent chunk of these too. For example:
• Strong attention to detail and ability to quality check your own work to make     sure data mistakes are caught before work delivery.
• Advanced analytical and data interpretation skills.
• Hands-on, problem-solving skills and a proactive approach to problem         resolution in general.
• The power to initiate and drive projects to completion with minimal guidance.
• Confidence to challenge thinking and offer opinions, thoughts, and insight.
• The power to speak the results of analyses during a clear and effective manner.
• And in fact, quick learning skills! In terms of sentimental skills, it’s a     reasonably standard package.
• You’ll need your excellent communication skills – both verbal and written.
• A capability to articulate complex concepts in a transparent and concise manner.
• Some level of flexibility so you'll collaborate effectively in any work environment
• And Good listening skills! 
Alright! Now you’re conscious of the foremost important aspects of the info analyst job and what skills to focus on so as to become one.
Thanks for reading and good luck on your Data science journey!
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