Data Analyst Jobs

Data Analyst Jobs page is a dedicated space part of the Tutorials Point Job Search feature. It brings exclusive Data Analyst Jobs from around the world for aspirants to apply for.

According to Market Research Future (MRFR), the Data Analytics market industry is projected to grow to $303.4 billion by 2030, exhibiting a 27.60% compound annual growth rate (CAGR) from 2023 to 2030. The US Bureau of Labor Statistics expects Data Analyst jobs to grow by 25% between 2020 and 2030.

The demand for Data Analysts continues to be high and Tutorials Point wants to help the talent meet the demand through its sophisticated platform.

Browse the Top Data Analyst Jobs

Tutorials Point is a user-centric e-learning platform that garners online content in various formats promoting self-paced learning ever since its inception. Millions of visitors come to the platform to learn new technologies through the free text tutorial library, online video courses, certification programs, etc.

To help learners land their dream jobs after reaching their full potential, Tutorials Point has recently launched a Job Search portal that brings job seekers and recruiters together. The feature is supported by an ever-amplifying database with job requirements from around the world. Users can explore the job listings and apply for their dream jobs in the city they desire.

To further filter the job roles, Tutorials Point has designed dedicated spaces for each career path. The Data Analyst Job page is one such space that gathers all kinds of entry-level data analyst positions, and remote data analysis jobs from around the world for you to go through and apply effortlessly.

What Does a Data Analyst Do?

Data Analysts gather data and interpret it when it is necessary to solve a problem. They should be skilled enough to scour the data and communicate the findings. Let us look at some of the common responsibilities of Data Analysts.

• As we have already mentioned earlier, Data Analysts gather data from various sources. They often collect the data using strategies such as tracking visitor behavior on the company website, conducting surveys, and even buying the data when applicable.
• Data Analysts also clean the data they gather and ensure no duplicates, outliers, or errors. They use spreadsheets and relevant programming languages to maintain the data quality.
• Data Analysts often exercise their prowess in creating and designing the structures of databases. They are responsible for choosing the types of data that are stored and collected, establishing the relation between various categories of data, and deciding on how the data appears.
• It is expected of Data Analysts to interpret the data and communicate their findings to responsible bodies in an organization. They find patterns or trends in data and always figure out answers to the questions raised.
• Data Analysts use various techniques to communicate their findings. They need to be skilled enough to create visualizations such as graphs and charts, write reports, and present information to parties interested.

Skills Required to become a Data Analyst

The following are the definite must-have skills to become a Data Analyst.

SQL

• Adding, deleting, updating, and extracting information from any database.
• Extract, manage, and organize large datasets.
• Transform data structures and carry out analytical functions.

Statistical Programming

• Python and R programming languages help with analyzing large datasets more effectively.
• R programming for statistical data analysis.
• Python for a general approach to data analytics.

Microsoft Excel

• Quick analytics, and a faster and more efficient way to store data. 
• Advanced Excel skills to draw profitable insights from data by manipulating and visualizing it.

Mathematical skills

• Process loads of data after quantifying it.
• Understand the numbers, operate, and combine them as part of your analysis with advanced mathematical skills.

Data visualisation

• Convey the findings comprehensively to those with no training in data analysis.
• make it easy for leaders of the organization to understand complex ideas and identify patterns.
• Present your findings or insights through illustrations such as graphs and charts.

Data Collection and Cleaning

• Necessary and foundational requirements for any data analytics vacancy.
• Data collection is done based on the variables related to organizational goals.
• Data cleaning ensures data accuracy.

Machine Learning

• Finding trends and patterns in a data set by building specifically designed algorithms that become more and more efficient and accurate in finding patterns.
• Create analytical models.

Communication Skills

• Communicate with developers, IT representatives, clients, leaders, and fellow data analysts.
• Convey insights derived from your analysis with excellent written and verbal communication, and active listening.

Critical Thinking

• Understand the type of data to collect and identify the connection between distinct data points.
• Derive smart solutions to business problems.

Trending Data Analyst Job Roles

Let us look into some of the prominent Data Analyst job roles around the world. Along with the stand-alone Data Analyst role, the list also comprises prominent jobs with Data Analytics.

• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Data Visualization Engineer
• Data Engineer
• Data Governance Analyst
• Business Analyst
• Risk Analyst
• Marketing Analytics Manager
• Quantitative Analyst
• Financial Analyst
• Junior Data Analyst
• Healthcare Data Analyst
• Financial Data Analyst

Data Analyst Salaries

Let us look into the average range of Data Analyst salary, according to Glassdoor.

Data Analyst
Experience: 2-4 years
US: $62,000 - $95,000 per year
UK: £34,000 - £52,000 per year
Canada: CA$57,000 - CA$83,000 per year
India: ₹4,00,000 - ₹9,00,000 per year

Data Scientist
Experience: 2-4 years
US: $100,000 - $200,000 per year
UK: £42,000 - £68,000 per year
Canada: CA$80,000 - CA$100,000 per year
India: ₹7,00,000 - ₹20,00,000 per year

Data Engineer
Experience: 2-4 years
US: $89,000 - $100,000 per year
UK: £43,000 - £71,000 per year
Canada: CA$81,000 - CA$100,000 per year
India: ₹5,00,000 - ₹15,00,000 per year

Quantitative Analyst
Experience: 2-4 years
US: $100,000 - $200,000 per year
UK: £64,000 - £100,000 per year
Canada: CA$79,000 - CA$100,000 per year
India: ₹11,00,000 - ₹26,00,000 per year

How to find a Data Analyst job?

By following the tips below, you can land the right Data Analyst job effortlessly.

Get a College Degree:
If you have the time and resources, getting a bachelor’s degree can be a good place to start. Although it is not mandatory a college degree will provide you with a strong foundation in the stream. For a Data Analyst vacancy find a specialization that covers IT, Mathematics, Statistics, and Computer Science majors.

Build Strong Technical Skills:
Data Analysts need to have strong technical skills as they are often expected to carry out statistical modeling, data collecting, data cleaning, data visualization, and preparation. It is also important to have expertise in Python, SQL, and JavaScript coding languages.

Build Your Portfolio:
Build a solid portfolio by taking freelance projects or internships. Get exposure to various industries to determine which Data Analyst career you can pursue.

Pursue Prominent Certifications:
Even without a college degree, you can get into the Data Analyst field by pursuing the right certification program. Tutorials Point has designed several certifications that you can explore. Choose the one that suits you best and get certified.

Create a Compelling Resume:
Along with a portfolio, building a compelling resume is an important thing to do. If you are someone looking for entry-level analyst data jobs, make sure you detail the projects you have worked on as a freelancer or as an intern. If you are an experienced professional, mention your achievements in the resume.

Prepare for the Interview:
The next thing would be to prepare for the interview. As the Data Analyst role requires heavy critical thinking, make sure you prepare those questions along with technical concepts.

Use the Right Platform:
Use the Data Analyst Jobs page to search and explore various relevant jobs from around the world. Explore remote data analyst jobs, entry-level data analyst jobs, and data analyst jobs for freshers. Go through the descriptions for jobs for a data analyst and apply for the ones that suit you.

Make the most of Tutorials Point where you can learn a technology, explore the job opportunities, apply for the ones you desire, and land your dream job, all in one place.