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December 14, 2022

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What Is A Data Analyst Job? - Responsibilities, Skills Required, Salary

Data Analyst Job - A Complete Guide

What is Data Analysis?

The practice of extracting details from data to conduct better business decisions is known as data analysis. Five iterative phases typically comprise the data analysis process:

  • Pick the data you want to inspect
  • Assemble the data
  • Compile the data before the analysis
  • Examine the information
  • Decode the analysis' findings

Data Analyst Job Description 

A data analyst deciphers data and transforms it into knowledge that might suggest methods to enhance a firm, influencing business decisions. Data analysts accumulate and inspect data using specialised technologies to produce information that helps decision-making. Data analysts will ask questions about data and study it for irregularities, trends and patterns. All industries, including banking, consulting, manufacturing, pharmaceuticals, government, and education, highly demand data analysts.

Responsibilities Of A Data Analyst

The responsibilities of a data analyst are listed below - 

  • The creation, updating, and deletion of master data.
  • Governing user roles and users.
  • Assure the quality of imported data, and if necessary, work with quality assurance analysts.
  • Data set commissioning and decommissioning.
  • Processing sensitive information and data in accordance with regulations.
  • Helping to create analyses and reports.
  • Incorporating security, metadata and data reference into the management and design of the reporting environment
  • Helping the data depository to establish and update reporting demands.
  • Aiding activities for integrity and data harmonisation.
  • Evaluating testing, putting new or upgraded software into use, and helping to make strategic choices about new systems.
  • Constructing reports using one or more networks.
  • Regulating and readjusting the reports and reporting database system.
  • Assessing the effects of changes and advances to source production networks.
  • Educating end users about new dashboards and reports.
  • Delivering technical know-how in data mining, data purification, and storage structures.

Data Analysts - Qualifications And Skills Required 

  • A computer science undergraduate degree from a sanctioned college or university.
  • Working proficiency in data analysis or a related field.
  • Ability to evaluate potential dangers while working with collaborators.
  • Having the ability to assess present tools and databases and offer software clarifications.
  • Being able to converse business requirements in straightforward, nonprofessional words
  • High level of expertise in large-scale database management procedures and applications.
  • A track record of managing vast data sets and analogous databases.
  • Knowledge of addressing standards and metadata.
  • Superb verbal and written communication abilities.

Tools Required By Data Analysts

Microsoft Excel 

The most crucial tool for a data analyst to master, is Excel, an industry standard for data analysis. It is possible to use any spreadsheet programme, albeit Microsoft Excel is the most widely used.

Jupyter Notebooks 

It works with many different programming languages. Jupyter Notebook is an online open-source tool that enables you to create and share documents with live code, equations, pictures, and narrative prose. The notebook can be used for many things, such as machine learning, data purification, and transformation.

SQL 

In large corporations, SQL is frequently used for data analysis and is regarded as the most crucial tool for analysts. It is an easy learning technique and may be applied to challenging data analytics. A computer language called SQL was explicitly created for managing data from relational databases.

R

Another crucial and frequently used tool in data analytics is the open-source programming language R. It is available in several libraries, including Plotly, and enables data analysts to produce data visualisations like plots and graphs. It is used in sales, finance, and several scientific fields like technology and medicine.

SPSS and VBA 

In addition to the tools mentioned above, analysts typically need a statistical analysis package like SPSS. More seasoned data analysts might require VBA or Visual Basic for Applications. It is an Excel-specific programming language that is frequently employed in financial analysis.

Microsoft Power BI 

Users may quickly create interactive visual reports and dashboards with the aid of Power BI. Its main selling point is its superb data connectivity and working with Excel, text files, SQL servers, and cloud sources like Google and Facebook analytics.

Tableau 

Another programme that data scientists frequently use is Tableau. It is commonly used because it allows for quick evaluation of data. Tableau will enable it to build dashboards that provide helpful information and advance a business.

SAS 

A well-known commercial package of business intelligence and data analytics tools is called SAS (Statistical Analysis System). Client profiling, reporting, data mining, and predictive modelling are currently its main applications. The software is frequently more reliable, flexible, and user-friendly for large businesses because it was created for the corporate market.

Types Of Data Analysts

Market research analyst 

Market research analysts gather and assess information about consumers and competitors. They help firms determine what goods people want, who will buy them, and how much they will cost.

Healthcare analyst 

To help enhance healthcare outcomes, medical and healthcare data analysts use data from various sources. They often focus on the administrative side of medicine, improving patient care or streamlining processes.

Operation research analyst 

Operations research analysts are high-level problem solvers that use complex problem-solving techniques like optimisation, data mining, statistical analysis, and mathematical modelling to produce solutions that improve the productivity and profitability of businesses and organisations.

Business analyst 

Nearly every component of a firm, including IT processes, organisational structures, and employee development, might have difficulties that business analysts can identify.

Intelligence analyst 

Intelligence analysts analyse data and information to find and address security issues. Information sources include internal and external statistics, databases, and field reports.

Business intelligence analysts 

They might gather, purify, and analyse information about a company's earnings, sales, market intelligence, or measures of consumer engagement. 

Data Analyst - Salary 

The average income for data scientists is 6,98,413 rupees. A data scientist with less than one year of experience might expect to make approximately 5,00,000 rupees per year. Data scientists at the entry level with 1 to 4 years of experience make about 6,10,811 rupees per year. In India, a mid-level data scientist with 5 to 9 years of experience can expect to make 1,004,082 rupees annually.