Learn Business Analytics from Edvancer.Data analyst The main task of a data analyst is to collect, manipulate and analyze data. He prepares reports, which may be in the form of visualizations such as graphs, charts or dashboards, detailing the significant results they deduced. Data analysts have a strong knowledge in relational databases like SQL, and know how to retrieve and store data in these databases. They often have a thorough understanding of relationships that exist between the organization’s various databases. Data analysts who also know technologies like Hive, Pig and how to set up a brand operate a Hadoop ecosystem command a higher salary. Data scientist “A data scientist is half hacker, half analyst, and he uses data to build and derive insights” – Monica Rogati A data scientist is well versed with R, SQL, advanced statistics, machine learning and has a respectable amount of knowledge in a particular industry (like banking, hospitality, etc.) Drew Conway created the Venn diagram to define a data scientist: Predictive analytics Predictive analysts are the in-betweeners of data science and data analysis. They are also called junior data scientists. They are good at one predictive analytics tool (like R, SAS, Python or Stata), SQL, have a basic understanding of statistics and have a good knowledge of how predictive techniques like regression and clustering are applied to a particular domain. How to choose the right job role for you By now, you have a fair idea of what responsibilities are involved in each role. If you have a business background and an experience in streams like product management, project management, client delivery, or business consulting, then it is easier to transition into the job of a business analyst. Whereas, if you come from a business intelligence, data base or engineering back ground, i.e those with experience in data architecture, information management, server or system administration, then it is easier to become a data analyst. Conclusion Knowledge in a particular domain is one of the most overlooked factors when you are attempting to change your career. If, for instance, you are looking to become a data analyst in the marketing industry, then you need to understand the terminologies and jargons like customer churn, marketing funnel, bounce rate, conversion ratio used in this industry. Take advantage of your domain knowledge when you are trying to switch careers. Let me give one more example. If you have 5 years’ experience working as a database admin, your ideal analytics job category would be a Data Analyst. If you lack the necessary skills for a particular job, then you can take online courses to fill the gap. Online courses will teach you how to solve real-world analytics problems right from scratch, so that you gain the hands-on experience that companies are looking for, and you also have a robust portfolio of projects to demonstrate your capabilities. Make sure these courses are taught by industry professionals who have extensive experience in the analytics industry, so that they have the ability to review your resume and mentor you to successfully transition your career to analytics. Hope I have given you a clear plan on how to transition your career to analytics. Drop in a comment if you have any further questions!