Top 10 Data Analyst Skills For 2022 | Skills To Become A Successful Data Analyst

top-10-data-analyst-skills-for-2022
 

We will learn a really interesting topic that is the top 10 skills to become,



a data analyst in 2022 in today's digital world data is being generated by companies and,



individuals every second so the role of a data and list holds supreme importance.



What a data analyst does and the various skills you need to process to become a data analyst in 2022.



First we will understand who a data analyst is,



then we will understand the top 10 data analyst skills for 2022.



Moving on we will look at the salary of a data analyst and,



finally we will look at the companies hiring data analysts so now



Who is a data analyst?



A data analyst is a professional who collects business data from various sources interprets it and



Uses various statistical tools and techniques to extract insights and useful information from it



they acquire data from



primary or



secondary data sources and



maintain databases they also recognize and understand the organization's goal and collaborate with different team members



such as programmers business analysts and data scientists to build an effective solution to a business problem



now with this basic understanding of who a data analyst is let's learn the top 10 data analyst skills for 2022.



1 - Structured Query Language or (sql)



Sql is a top skill that every data analyst should have.



data analysts use sql commands and functions to store process analyze and



manipulate structured data using relational and nosql databases.



they also build data models and write complex sql queries and



scripts to gather and extract information from several databases and data warehouses.



some of the popular databases a data analyst should be familiar with are microsoft sql server mysql postgresql and ibm db2.



2 - Microsoft Excel



Microsoft excel is one of the most popular and oldest spreadsheet applications for



creating reports



performing calculations and



analyzing



data.



data analysts need to know how to handle tabular data in excel,



so they should be aware of features like



sorting



filtering



conditional formatting



pivot tables



what-if analysis and functions such as sumifs and countifs



3 - Data Cleaning and Wrangling



Usually the data collected by analysts from various heterogeneous sources is often messy and contains a lot of missing values.



so it is always crucial to clean the data and remove noise missing or erroneous elements.



it is also important to format data using tools and methods before using it for analysis.



they are responsible for data mining as well,



the data mined from various sources are organized in order to obtain new information from it



some of the tools you need to know for data cleaning and wrangling are excel power query and open refine.



4- Mathematics and Statistics



Data and lists often work on data for higher dimensions that are greater than three,



in order to interpret such data they need to be good at linear algebra and calculus.



they also build predictive models and statistical models such as



linear



regression



logistic regression



naive bayes and



k-means clustering



in order to understand the working of these algorithms



they must have knowledge about statistics and probability.



5- Programming



data analysts need to master at least one programming language preferably python or r



in order to work with complex business problems analysts



need to write scripts and user-defined functions to automate tedious tasks



python and r language provide a collection of different libraries and packages such as



numpy



pandas



dplyr



matplotlib



ggplot



which data analysts can use to discover trends and patterns from complex data sets



6 - Data Visualization



Another data analyst job role is to visualize large volumes of data and



prepare summary reports and dashboards for the leadership team and clients,



so that they can make timely business decisions



to do this data analysts use various data visualization tools such as power



bi



tableau and



click view



using these tools data analysts can integrate various data sets apply join conditions sort and filter data



as well create different visualizations using charts and graphs



7 - Industry Knowledge



Data analysts should have good knowledge and understanding of the industry or domain they are working in,



for example



if you're working in a healthcare domain you need to know how healthcare analytics can be applied to improve patient care.



you should have knowledge about the challenges faced in healthcare and how you can leverage data and analytics to solve the issues



only if you have strong industry knowledge can you try to improve the business.



8 - Problem Solving



A business deals with several problems on a daily basis data analysts should be ready to face those challenges.



Data analysts are expected to use their problem solving skills work with the team troubleshoot,



what went wrong and provide an effective solution via data analysis.



A data enlist with good problem solving skills can help a business identify current and



potential issues and determine a viable solution based on the data it collects



9 - Analytical Thinking



data and lists need analytical thinking ability to break down a complex problem into simple components and resolve these components one by one it is a must-have skill for data analysts.



analytical thinking includes deciding the parameters that need to be considered for defining data sets analyzing them from different perspectives and determining variable dependencies.



10- Communication



data analysts don't just interact with computers and programs they also interact with team members stakeholders and data suppliers



so good communication skills are essential



data analysts also present their findings in front of an audience 

 

 

who might not be familiar with the analytical methods and processes



so they need to clearly translate their findings and insights into non-technical terms



so those were the top 10 skills our data analyst needs to possess in 2022.



now let's look at the salary of a data and list



according to glassdoor the average annual salary for a data analyst in the united states is 69 517 dollars.



while in india you can earn nearly 7 lakh rupees per random.



finally let's look at the top companies that are hiring data analysts in 2022.



here we have the consultancy and big4 giant deloitte and



the pharmaceutical company cerner corporation then we have



the tech giant ibm retail company walmart and



the e-commerce leader amazon.