Data Analyst Roles & Responsibilities | Data Analyst Skills | Data Analytics Certification | Edureka

Key Takeaways

hello everyone welcome to Eda and in today's session we'll be discussing about the roles and responsibilities of a data analyst in the industry now data is increasingly shaping the systems that we interact with every day whether you are searching for something on Google using messaging services or browsing your Instagram feed you are both consuming and generating data at the same time we have reached an era where we are generating 2.5 quillion bytes of it every day now that's a heck lot of data so what to do with all that data well that's where data analyst comes into picture so before diving into the data analyst roles and responsibilities let's see who exactly is a data analyst now a data analyst delivers value to the companies by taking information about specific topics and then interprets analyzes and presents findings in comprehensive reports many different types of businesses use data analyst to help as experts data analysts are often called on to use their skills and tools to provide competitive analysis and identify Trends within the industries so let's have a look at the roles and responsibilities of a data analyst depending upon their level of expertise data analyst May determine organizational goals mine data from primary and secondary sources clean and prune data analyze and interpret result results pinpoint Trends correlations and patterns in the complicated data sets provide concise data reports and clear data visualizations they also design create and maintain relational databases and Data Systems as that also comes as a part of the job so let's see in detail what exactly are these roles and responsibilities so starting with determining organizational goal one of the first and most important role of a data analyst is to determine the organizational goal that involves working with with IG teams management and data scientist understanding the business and acting according to it is the key role here now when we talk about mining data data mining is a process to structure the raw data and formulate or recognize the various patterns in the data through the mathematical and computational algorithms it helps to generate new information and unlock the various insights data analyst have to often mine or collect data getting data from the company database or extracting it from external sources to do any sort of research is one of the major roles of any data analyst now next we have data cleaning so data cleansing or data cleaning is the first step in the overall data preparation process and is the process of analyzing identifying and correcting messy and raw data when analyzing organizational data to make strategic decisions data analyst must start with the Toro data cleansing process the good analysis rests on clean data it's as simple as that cleaning involves removing data that may distort your analysis or standardizing your data into a single format now next we have analyzing data needless to say this role is a must for any data analyst data analytics is the art of exploring the facts from the data with specific to answer a specific question it is the process of evaluating data using analytical and logical reasoning to examine each component of the data provided one uses standard statistical tools to analyze and interpret the data now there are various tools and programming languages used in this analysis such as we have R python SAS and we have other visualization tools as well another major role of any data analyst is pinpointing the trends and patterns a last time of data analyst is spent on finding Trends correlation and patterns in the complicated data sets Trends are also important data analysts look for both short-term and long-term trends the trend analysis helps them understand how the business has performed and predict where current business operations and practices will take you if done well it will give you ideas about how you might change things to move your business in the right direction so it is a very important point now next we have creating reports with clear visualization reporting translates raw data into information reporting helps companies to monitor their online business and be alerted to when the data Falls outside of expected ranges good report should raise questions about the business from its end users being able to tell a compelling story with data is crucial to getting your point across and keeping your audience engaged for this reason data visualization can have a make or break effect when it comes to the impact of your data analyst use icatchy high quality charts and graphs to present their findings in a clear and concise way and finally we have maintaining databases and Data Systems data analyst might have to ensure that the storage availability and the coherence of electronical store data is always met to an organization's need data analyst need to have a technical expertise regarding data models database design and development to make the best use of it they develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across the data sets now so with this we come to an end of this video I hope you got an understanding of the various roles of a data analyst in the industry so till then thank you and happy learning