Everything today is connected, every piece of information is collected as data. There are large chunks of data used for any purpose, so it is important to understand that the rising demand for a Data Analyst is directly related to business development. The data analysts are the important building blocks in the company, as all the data is handled, collected, managed, and shared accordingly by them. They convert raw data into useful pieces of information that are later used for projects and different purposes in a company. Any company hiring for data analysts in USA looks for a bunch of skills before considering an applicant. Some of the notable skills to be mentioned are SQL, PowerBI, Excel, problem-solving, critical analysis, and data management.

The freshers who want to begin their journey in Data Analysis must craft a plan, and conduct good research regarding the demand in the US job market. It is essential for the candidates to tailor their resume according to the Job description. They must master their skills, and prepare their educational and professional qualifications accordingly. Also, they must learn about the visa processes, work visas, and their eligibility and stay duration. Candidates can consider H1B visa, L1, and also F1 visa, for work and stay in the US job market.

How can a Fresher Apply for a Data Analyst Job in USA?

Many international candidates who aspire to work in the US job market are often in a confusion regarding their journey and where to start. They are often misguided, hence they end up wasting time. The Data Analyst jobs for freshers are available once the candidate masters the notable skills. They must be efficient in using Excel, SQL, PowerBI, data cleansing, data visualization, and data collection and management. Before applying for the jobs in USA, the candidates must understand the US job market.

  • Research - The candidates must target those companies that offer a fair chance to the candidates. Many companies in the US job market offer entry-level positions to freshers if they have the right potential. The candidates have to target those companies and send their resume to the recruiters. They must carefully go through the job descriptions, also they can check the official website of the company for ongoing vacant positions.
  • Tailor the resume - It is very important for the candidates to tailor and craft the resume as per the job descriptions and job specifications. The recruiters look for relevant skills and qualifications, the candidates must reflect the right qualifications and skills to secure the job. The resumes are the first introduction to the candidates who are looking for data analyst jobs for freshers.
  • A good first impression - It is very important for the data analyst applicant to create a good professional impression on the recruiter. Although for an entry-level candidate, it is not mandatory, to show their professional experience while applying for a job. The candidates must present themselves as a good fit for the company by working on their soft skills. Time management, team coordination, problem-solving, communication, critical thinking, and analytical thinking.

Responsibilities of a Data Analyst

  • Data handling - A Data Analyst is responsible for data collection, data management, data handling, storage, data mining, and data filtration. Along with this, the candidates must know data visualization, which helps in visualizing the data in an attractive form. When data analysts present the raw data in charts, graphs, and various pictorial forms. It helps the clients and groups of the audience to get engaged. A Data analyst communicates through their data filtration and presentation, and pictorial representation.
  • Tools - In a Data Analyst job must be familiar with the usage of tools, such as Excel, Powerpoint, SQL, Power BI, and Tableau. All these tools are used for data storage and analysis, they help in data integration, predictions, and data statistics. For instance, SQL is popular and the most basic tool to learn for a Data Analyst, it is used to run queries, and to integrate and modify the data.
  • Programming languages - For a Data analyst it is also important to learn programming languages such as Python, Java, and R. The job specifications change for different companies, but some of the skills remain constant for a candidate to get a job. Top companies hiring like Accenture, Amazon, Google, and JP Morgan offer annual packages ranging between $70 to $90 LPA.
  • Join a course, certificate, and specialization - A candidate must join a certificate or some sort of specialization if they want to learn data analysis. A course or a relevant degree will help the candidates to develop an understanding, of the educational field. An educational qualification will help the candidates to get a shortlist for further rounds if interviewed by any company. The candidates must work on their portfolios by making projects and doing freelancing or internship.

Conclusion

  • In the US job market has risen in demand for data analysts. The careers for data analysts are also booming, the candidates must have a relevant degree and educational qualification.
  • The companies offer a good amount of compensation and annual packages ranging between $70 to $90 LPA.
  • As a Data Analyst job must be familiar with the usage of tools, such as Excel, Powerpoint, SQL, Power BI, and Tableau. All these tools are relevant and basic for becoming a Data Analyst.
  • There are large amounts of data used for different purposes. So it is important to understand that the sharp rise in demand for a Data Analyst is directly related to business development.
  • A Data Analyst should be responsible for data collection, data management, data handling, storage, data mining, and data filtration.
  • Some of the notable skills to be mentioned are SQL, PowerBI, Excel, problem-solving, critical analysis, and data management.
  • Different visa processes, work visas, and their eligibility and stay duration. Candidates can consider H1B visa, L1, and also F1 visa, for work and stay in the US job market.