The role of a data analyst is as challenging as it is exciting. You not only need data analytics skills but ample practical experience to become successful in this career path. You also need to have a command over some soft skills that would help you blend into the organisation and its practices, and to carry out your job smoothly. In the prevailing time, while you are staying at home to be safe, you might have some extra time on your hands. You can take this time to invest in building your soft-skills by reading or talking to your mentors and colleagues. You can also invest in online courses and improve your profile and knowledge. Soft skills come in handy when moving to new career paths or looking for a new job. You could depend on your experience to get the initial tests cleared but to add more spark to your resume and personality, you should work on your soft skills. Read ahead to find out why developing your soft skills can be significant for landing a good job and excelling at it. If you are looking for a job role in data analytics, check out this blog on which industries have the most scope and pay the highest salaries in the field. 

How Do Data Analytics Skills Include Soft Skills? 

Data analytics include processing massive amounts of data and gathering the required information while discarding what is not essential. The data analyst spends a majority of time collecting and conveying the data, and what conclusions it draws. They play a big role in deciding the progress route of any business. For this an understanding of business and how other employees work is important. Another imperative task is to get all the decision-makers and stakeholders to understand the data and its implications. Your command of soft skills plays a big role in how your data is conveyed to the right ears so they are able to make the right decisions. This way apart from having data analytics skills, learning soft skills can be a decisive part of how well you perform at your job. 

Role of Soft Skills in Getting A Data Analyst Job 

Recruiters from reputed organisations often look for candidates that have an edge over others. Developing your soft skills can help you bring that ‘edge’ to the table. When you express yourself and the proficiency in work that you bring to the table, the chances of impressing your recruiters are much more. You can also take a note of your soft skills for resume building as these add value to your knowledge and experience, along with telling the recruiters that you are the right fit for their organisation’s culture. 

Soft skills are transferable from one job to another and help your adjusting to new environments with ease. While going through a career transition to a data analyst or any other field, soft skills are something you can bank on. While you will be spending time learning the aspects of your new career, such skills will boost your progress. 

Emerging technologies like AI, machine learning, data analysis, etc provide great career options. If you are looking for a career transition in such fields, check out this blog on the top 5 tips that can help you take the next steps. 

Top Soft Skills Every Data Analyst Should Know

From an artificial intelligence engineer to UX/UI designer, each profession in emerging technologies requires people to have a certain proficiencies other than data analytics skills. Here’s is a soft skill list that can help you get a good job and improve your work performance as well. 

  1. Knowledge of business – The purpose of a data analyst is to help the business grow by collecting the present data of the business, see where the scope of improvement lies and then suggest actions to fill those gaps. To pin-point such loopholes a data analyst needs to have a clear understanding of the business and the economic environment. Suggesting improvements can only happen when you know what factors lead to such improvements. This means that you should be able to determine the goals and procedures of the business and how to leverage them to grow.  
  2. Conveying information effectively- Being the middle ground between technical and non-technical teams, a data analyst needs to learn to translate the technicalities in a form that other teams in the business can comprehend and make use of it. This can only happen when the data present in facts, figures and algorithms is presented in the form of charts and statistics. You also might have to derive the conclusions and put forth the reason behind them to make changes come to effect. Being able to understand the team and how they will perceive the data, and presenting the data in a for that the team can understand is necessary for you to excel in this career path. 
  3. Discovering new aspects- Going through the data with different perspectives and figuring out the best solutions will be your top priority as a data analyst. To do this successfully you should be able to catch on to the nuances of data and discover new implications of the same.  This way you will be able to derive new conclusions from the data that can streamline the processes of your organisation further.
     
  4. Understanding priorities- By using AI, massive amounts of data are processed in seconds and tons of results are derived for your organisation to consider. As a data analyst, you need to figure out your organisation’s priorities and in which aspects it wants to grow or improve. The scope of improvement in are limitless but resources for the same are limited.  
  5. Innovation in solutions- When you see the problems and the data that can tell you how to solve them, you need to think about how an issue can be addressed in the best manner. An organisation can only grow when its resources are utilised efficiently, this is why bringing out of the box solutions is necessary. This can also show your potential clients and stakeholders that your company is innovative and will be profitable for them, hence, aid in your professional growth along with the growth of the business.  

 Soft Skills are an essential part of professional development be it a data analytics career, AI career or a career into any of the technical fields. For a data analyst, these skills are like the ‘cherry on top’ of your data analytics skills and other skills that make your work-life better.  

Along with working on them you should also look into acquiring new technical skills from time to time for accelerating your career to the top. Visit Sproingboards online courses and learn novel skills a 1:1 mentoring-led project-driven approach along with a job guarantee. Get started today to take your career to new heights!