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Top 5 Tips for an Aspirational Big Data Analyst in 2021

Wanting to become a big data analyst professional? Read more to know the best tips and tricks to become a top big data and data analytics expert

What is Big Data Analytics?

Big Data analytics is a process – which is used to extract meaningful insights – hidden patterns, unknown correlations, market trends, customer preferences. It can help with better decisions making, preventing fraudulent activities and many more things. It is used to examine of varied Big Data or large data sets to find relevant and useful information – which will allow the businesses to make informed decisions. This can be a complicated process and will take a skilled and trained Big Data Analyst to successfully and accurately solve it.

Let’s see few real world Big Data examples:

  • Discovering and finding out patterns within consumer shopping habits
  • Personalised marketing tactics
  • Monitoring and alerting about health conditions through data from wearables and devices
  • Live road mapping for autonomous vehicles
  • Inventory, fashion trends and trends in multiple sectors predictions
  • Real-time data monitoring and cyber security protocols   

What is Big Data ?

Big Data can be defined as a Software-Utility which is designed to Analyse, Process and Extract the information from an extremely complex and large data sets – which probably a traditional data processing software might not even deal with.

Top Big Data Technologies:

Top big data technologies are divided into 4 fields which are classified as follows:

  • Data Storage
  • Data Mining
  • Data Analytics
  • Data Visualization

What does the Big Data Analytics do?

Big Data analytics’ main job is to uncover and analyse useful data like hidden trends and patterns through which companies can make more informed business decisions and gain a competitive advantage. Being a Big Data Analyst, it is his/her duty to study the market by identifying, collecting, analysing, visualizing and communicating this data – to help and guide the future decisions. 

Let’s learn from the given below tips to be an aspirational big data analyst

Top 5 Tips for an Aspirational Big Data Analyst

  • Knowledge and Understanding of Technical Skills:

To be able to identify business solutions, business analysts should be fully aware of existing technology platforms and emerging technologies to determine potential outcomes they should achieve through current applications and new offerings. Plus while traditional data analyst might be able to get away without having a core knowledge of programming but the big data analyst needs to have a strong understanding of coding. One of the reasons to have this requirement is – big data is still in an evolution phase. A lot of modification and customization is required on daily basis to deal with the maze of unstructured data. 

  • Business and Managerial Skills:

To keep the analysis in check, to validate, to sort, relate and to evaluate the data, the most critical skill of a big data scientist should be to have a good amount of knowledge of the domain he/she is working on. One of the reasons, the big data analysts are in demand is that it’s quite rare to find resources who have a thorough understanding of technical aspects, statistics and business. From planning the scope of a project to directing the workforce, from forecasting budgets to managing change requests to monitoring time constraints – these are quite basic elements almost all the business analysts should have. 

  • Decision-Making Capabilities:

To be an aspirational Big Data analyst, having decision making skill is one of the mandatory requirements. Business analyst should be capable of assessing inputs from stakeholders, analysing a situation, and selecting the correct plan of action. The viability of an organization should depend upon the decision making skill of a business analyst.

  • Well-versed with Aptitude and Statistics:

Processing of Big Data requires a great use of technology, fundamental to any analysis of data is good knowledge of statistics and linear algebra. To be an aspirant Big Data analyst, being well-versed with the statistics will help you building up a block of data science and understanding of core concepts like summary statistics, distribution, variables, hypothesis testing framework. 

  • Communication Skills:

What do you think would be the 5th tip to become an aspirant business analyst? A great communication skill – a business analyst’s job involves interacting with developers, clients, end-users and management. A project’s success depends on how clearly business analyst communicate the details. Like requested changes, testing results, and project requirements.

“Fluency in communication is a must-have skill for any business analyst.”

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