How to Become a Big Data Analyst?

In an era dominated by Big Data, traditional Data Analysts' skill set and knowledge are insufficient to tackle the intricacies of Big Data. So, who steps forward to save the day?

Big Data Analysts are, in essence, data analysts in the truest sense of the term, but they have one key distinction: unlike typical data analysts, who generally work with structured data, Big Data Analysts work with unstructured and semi-structured data.

This guide contains a full overview of job responsibilities, skill set, income, and the career path to become a Big Data Analyst to help you understand the job profile of a Big Data Analyst.

What is a Big Data Analyst?

A big data analyst is a person who gathers, organises, and analyses massive amounts of data (also known as Big Data) in order to find patterns and other important information. To work as a Big Data Analyst, you'll need to know how to mine data and audit data. Big Data analysts have one primary goal: to assist businesses in realising Big Data's genuine potential for positively affecting business choices. Big Data Analysts use a variety of business, Big Data, and analytics tools to analyse and understand data, including Microsoft Excel, MS Office, SAS, Tableau, QlikView, Hadoop, Spark, MongoDB, Cassandra, Hive, Pig, R, Python, and SQL, to name a few.

Skills of a Big Data Analyst:

Big Data analysts, like business analysts, often have great technical capabilities that are complemented by extensive industry knowledge. They are fully aware of the interconnections between the organization's numerous databases and data sources. They gather data utilising modern database tools and procedures and complex query instructions.
 

1. Knowledge about various programming languages and tools -
   As a big data analyst, you should be familiar with the best data analytical tools and computer languages, such as R, Python, or SAS. The data analyst will only be able to find fresh useful insights after using one of the scripting languages.
    
2. Data mining and Data Auditing skills -
   Data mining and data auditing, as previously said, are essential abilities for any data analyst. Data mining is the process of evaluating huge pre-existing databases to generate new information, whereas data auditing is the process of profiling data and determining the impact of poor data on an organization's performance and revenues. As a result, make sure you brush up on these skills.
    
3. Testing Skills -
   A Big Data analyst will need testing abilities because he or she will be conducting A/B testing based on various assumptions that directly and indirectly affect various Key Performance Indicators.
    
4. Communication Skills -
   As previously stated, Big Data Analysts must be able to effectively communicate and present their results so that others can understand them. As a result, they must have excellent writing and verbal communication skills in order to express their vision to others and to simplify complicated ideas.
    
5. Machine learning skills -
   Machine learning, like statistical skills, is something that generally data scientists work on, but if you work in a large business, you may find that you need to know about machine learning methods like Decision Tress, K-Means, and so on.
    
6. Data Visualization skills -
   This is one of the most crucial abilities a data analyst should have. The presenting of data in a pictorial or graphical style is known as data visualisation. This allows management to quickly and readily comprehend the data. How well you can communicate data visualisation to management determines its success.
    
7. Basic Statistical skills -
   The statistical aspect is usually handled by the Data Scientist, but even a data analyst should have a basic understanding of statistics because it can help you choose the best technique when dealing with a certain problem.
    
8. Creative and Critical Thinking -
   In order to draw conclusions, big data analysts must examine figures, patterns, and data. Working with hard data necessitates a high level of critical thinking, but creativity and a curious mind are as crucial. A smart data analyst can offer appealing research findings that other corporations or organisations may not have by looking at the numbers through a creative lens.
    
9. Mathematical skills -
   To process numerical data, data analysts need advanced math skills, particularly in statistics.
    
10. Attention to detail -
    The information is precise. To arrive at the correct findings, data analysts must be vigilant in their analysis.

Job responsibilities for a Big Data Analyst:

Let's look at the primary responsibilities of a Big Data Analyst now that you have a good knowledge of their job profile:

1. To collect, clean, organise, process, and analyse data from a variety of sources in order to extract important insights and information.
2. To find new data sources and devise strategies for better data mining, analysis, and reporting.
3. To achieve company goals, work in close coordination with both the IT team and the business management team.
4. To work with Data Scientists to create cutting-edge analytical tools.
5. To support day-to-day business operations and decision-making by performing routine analysis tasks.
6. To keep track of trends and correlational patterns in large amounts of data.
7. To use statistical analytic methodologies to research and analyse consumer data.
8. To keep track of the performance of data mining systems and, if necessary, to resolve problems.
9. To create relational databases for data collection and sourcing.
10. To assist the management team in the decision-making process, provide the findings in reports (in table, chart, or graph format).
11. To extract data from the data warehouse, you'll need to write SQL queries.
12. To develop data definitions for new database files or changes to existing ones for the purpose of analysis.
     

Big Data Analyst Salary 

The salary of a Big Data Analyst varies depending on the sort of organisation for which you work, however here is a fair estimate:

1. Entry-level Big Data Analyst salaries range from $50000 to $75000.
2. Big Data Analysts with experience earn between $65000 and $110000 per year.
    

Big Data Analyst Salary (In India)

Big Data Analyst salary is determined by a variety of factors, including their educational background, level of Big Data competence, years of experience, and so on. The starting wage ranges from 5 to 6 LPA, with the salary increasing rapidly with experience and upskilling. Depending on the firm, an experienced Big Data Analyst might earn as much as 25 LPA.
 

Steps to move forward as a Big Data Analyst in your career

In three simple steps, you may begin your career as a Big Data Analyst:

1. With a STEM (science, technology, engineering, or math) background, earn a bachelor's degree -
   While a Bachelor's degree with a concentration in STEM topics is not required for the work of a Big Data Analyst, most employers prefer applicants who have earned a Bachelor's degree with a specialisation in STEM subjects. Because this is the job's minimal selection requirement, you must ensure that you meet it. Learning STEM disciplines will teach you the essentials of Data Science, such as programming, statistics, and mathematics. You can enrol in particular classes for project management and database administration.
    
2. Get an entry-level job or internships in Data analysis -
   While it may be challenging to find data analysis employment with no prior experience, you should always be on the lookout for opportunities. Many organisations or companies offer data analysis internship programmes, which can be an excellent way to start your career. Then there are in-house training programmes in Big Data Management, Statistical Analysis, and other areas. Enrolling in such programmes will assist you in developing the abilities necessary for data analysis. Another option is to hunt for positions as a Statistician or a Junior Business Analyst/Data Analyst at the entry level. Needless to say, these positions will not only assist you in furthering your education, but they will also provide you with valuable experience. They will, however, serve as a stepping stone to a job in Big Data.
    
3. Earn an advanced degree -
   It's time to step up your game once you've gained some work experience. What do you mean by that? By earning a master's degree in data science, data analytics, or big data management, for example. A master's degree will boost your resume and open doors to new opportunities in high-level data analysis roles. Naturally, if you have a Master's degree or similar qualification, your potential wage package will improve significantly.

Capping off

Data Analysts will be in great demand in firms all around the world by 2020, according to the World Economic Forum's projections. Furthermore, the US Bureau of Labor Statistics (BLS) predicts that market research analysts, particularly Data Analysts, would have a 19 percent increase in employment between 2014 and 2024. 

This is unsurprising, given the rapid growth of data. Companies will need to engage an increasing number of qualified Data Science specialists to suit their business objectives. After all is said and done, Big Data Analysts have a bright future ahead of them. 

So, what exactly are you waiting for? We've covered everything you need to know about preparing for a job as a Big Data Analyst. The ball is in your court now! For more related articles, you can go through our website for additional information to Big data.

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