A Wider Scope Of Data Analyst Jobs In USA

The US Bureau of Labour Statistics has reflected in their reports that the demand for data analysts will be on a boom in the coming years. Digitization of records and utilization of data to understand consumer behavior, supply and demand in the market, technological advancements, and new strategies. Data analysis requires a lot of skills, analytical, technical, and other soft skills. The demand for data analyst jobs is increasing in the US job market, it is a very promising career option for international candidates. Each year the scope of the international candidates is expanding in the data entry analysis field. They can work in different sectors such as education, IT, technology, finance, banking, and research. Different visa categories allow international candidates to move to the USA on a temporary work visa. F1, H1B, L1, and M are a few popular visa categories, apart from these there are many opportunities and visas available all with different sets of rules and guidelines.

 


Data is an important part of our lives, and data is utilized, and stored, through various electronic files and digital spaces. A need for a candidate who could handle the business and frame policies and strategies for the growth and development of the company is a basic need. The data analyst jobs in USA are a blend of both technical and analytical specifications. The job spectrum is wide and strong. The diversity of opportunities and expansion of the US job market attract a large quantity of talent pool from all corners of the world. The data analyst profile has a potential career growth option, they are trained for the beneficial growth and advancement of the business. The business strategies investment plans and other financial decisions are based on the analysis of a data analyst.

What is a data analyst? What are the job specifications of a Data analyst in the USA?

The major responsibilities of a data analyst job are to collect, store, filter, and manage the data from different sources. They must be efficient in using tools like Excel, Python, R, SQL, and PowerBI. They have to perform certain duties for the growth of the businesses or companies. They are responsible for Data visualization, preparing spreadsheets, managing databases, and checking data errors, or any discrepancies. The entry-level data analyst jobs provide good exposure to the freshers, it expands their knowledge and their understanding of their field, and they learn to excel in using software tools. Apart from this, they must have soft skills such as team coordination, decision-making, time management, access to technology and software tools, communication, and project handling.

They are responsible for managing data and correcting any data inconsistency, or data discrepancies, they are also responsible for data input and managing spreadsheets.

      ● Data filtration

● Framing new business strategies

● Data collection and management

● Data analysis

● Managing spreadsheets

● Checking data errors and irregularities

● Data utilization for various purposes

● Excel proficiency

 

Career Growth of Data Analyst Job

 

The average compensation package of a data analyst ranges between $50,000 to $60,000 for an entry-level data analyst job in the USA. With the passage of time and the development of skills, the package of a data analyst also increases, it can range between $80,000 to $120,000 based on the skills, understanding, project management, and professional experience. With the global rise in demand for data analysts, the candidates have to upskill themselves and refine their technical skills. Entry-level jobs can be found in Apple, Google, E&Y, Amazon, Meta, IBM, and Accenture. Senior-level data analysts can find suitable jobs in Uber, American Express, Netflix, and JP Morgan.

They can explore other realms of data analysis –


● Data scientist - The job role of a data scientist is to collect huge chunks of data, later filter it, manage it, and use raw data for statistical purposes. They are responsible for data interpretation, they prepare reports highlighting the issues in the performance and the market. They are also responsible for framing policies that could actually guide a company to grow. They must know machine learning, data mining, and preprocessing.

● Data engineers - This domain allows technical advancements also where an individual can become a data engineer. They are responsible for building structures and electronic spaces to store data. They can get an average compensation of $90,000 to $100,000.

● Business intelligence analysts - Business intelligence analysts where the candidates are responsible for finding trends in the company and business. They have a wide scope in the US job market where they get $90,000 per annum.

 

Conclusion

 

● A data analyst has to perform many functions to collect, store, filter, and manage the data from different electronic sources.

● They can work in different sectors such as education, IT, technology, finance, banking, and research. The data analyst profile has a potential career growth option, hence it is quite a popular career option for entry-level employees.

● It is easier to find entry-level data analyst jobs in USA, they must be efficient in using tools like Excel, Python, R, SQL, and PowerBI.

● The US Bureau of Labour Statistics has published various reports regarding the rise in demand for data analysts in the US job market.

● The data analyst jobs in USA are a blend of both technical and analytical specifications. Every business and company needs a candidate who can handle the business and frame policies and strategies for growth and development.

● The average compensation package ranges between $50,000 to $60,000 for an entry-level data analyst in the US job market. For a senior-level data analyst, the compensation package ranges between $80,000 to $120,000. Other mitigating factors can vary in the salary distribution of a data analyst in the US job market, such as location, company, industry, job specifications, and skillset and qualifications of an individual.

● The job role of a data scientist is to collect huge chunks of data, later filter it, manage it, and use raw data for statistical purposes.

● Business intelligence analysts to find trends in the company and business, they get $90,000 per annum in the US job market.

● Data engineers are responsible for building structures and electronic spaces to store data. They can get an average compensation of $90,000 to $100,000 per annum in the US job market.

● Data analyst jobs can be found in Apple, Google, E&Y, Amazon, Meta, IBM, Accenture, Uber, American Express, Netflix, and JP Morgan.



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