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Kickstart your career as a data analyst

Entry-level data analyst jobs are in trend in the US job market, to become a popular data analyst the candidates must focus on their technical and soft skills. The US job market is a very vast structure where opportunities are available in every field. For a successful data analyst career an individual must be proficient in data collection, data filtration, data management, reporting, and visual presentation. In this data-driven era, everything is related to data, there is a large amount of data flowing everywhere.

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Kickstart your career as a data analyst

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  1. Kickstart Your Career As a Data Analyst =========================================================== Entry-level data analyst jobs are in trend in the US job market, to become a popular data analyst the candidates must focus on their technical and soft skills. The US job market is a very vast structure where opportunities are available in every field. For a successful data analyst career an individual must be proficient in data collection, data filtration, data management, reporting, and visual presentation. In this data- driven era, everything is related to data, there is a large amount of data flowing everywhere. Data analyst jobs can be a good career option for people who are good at problem- solving, critical thinking, analytical thinking, and attention to detail. As a data analyst, all the tasks must be performed with proficiency.

  2. Key Responsibility Areas of A Data Analysts ● Data filtration - Data analysts have to extract data from various sources, it is the raw data that is collected. Later to be used for various purposes in the business. To understand the market, demand, and supply, to analyze the life of the products and services, also to understand the recent trends in the market. Later the data is filtered and cleaned for accurate results and uses. Different platforms can be sued for sourcing raw data but then that data comes in large amounts, it is a very crucial task to identify what kind of data is of the utmost usage. ● Data management - This includes management of various databases, and maintaining the data flow. Data management is also one of the ways to present the data in the best forms to get the desired results for the business. ● Data interpretation - It is important to interpret the data collected and filtered with statistical tools. This helps the data analyst to understand the pattern followed in the market. This step is fairly important to get the results as per the requirements of the business. It is also important to understand the demand of the consumers in the market, which products or services are in trend or will be in trend in the future.

  3. ● Reporting and presentation - When a data analyst collects the data for filtration and interpretation, they also have to communicate their findings with other teams. As there are many teams working in different domains in an organization it is important to communicate the findings to help the core divisions to execute the decisions for potential results. Skills Required to become a Data Analyst To become a data analyst at an entry-level one must work on their proficiency in technical skills and soft skills. 1. Technical skills - Technical skills that are important for the job profile of a data analyst are SQL, PowerBI, and Excel. MS Excel is important for advanced functions, such as pivot tables, and v-lookups. ● SQL - This language is used to interact with the databases, it is used in writing queries, and retrieve data. ● Tableau and PowerBI are the two most used visualization tools. To create clear reports, for visual results a data analyst must know how to use these tools. ● Python and R are the two most used programming languages, used for statistical analysis of data. The usage of these languages helps in the optimization of results, and automation and manipulation of data. 2. Soft skills - Soft skills are very important for the functioning of the job profile of a data analyst. ● Data analyst careers require critical thinking, attention to detail, and critical thinking and analysis. ● The data analysts must have effective communication skills, they must be as able to communicate the results with other teams. The data that is interpreted and managed is later used for getting desired results with the other teams that need to operate in the given domain. ● Critical thinking is also important to analyze the relevance of the data, accuracy, and determining the appropriate patterns.

  4. ● Problem-solving is one of the most relevant skills, it is required to solve multiple complex situations and patterns in the data. It is also useful in the collection and interpretation of the data collected and filtered. Scope of a Data Analyst The salary of a data analyst is lucrative and can also vary depending on the company, location, job specifications, and job profile. The average salary ranges between $60,000 per annum to $80,000 per annum. However, the salary ranges as per the demand, qualifications, skills, and other things depending on the company and location. What can one do for a data analyst job? Build a strong professional profile for getting selected for the interview round, though there can be multiple rounds depending on the company policy. So a strong resume will be the foremost step to moving in the direction of starting a career as a data analyst. Also, the individuals who aspire to take a job as a data analyst must connect with the recruiters for referrals. That will help them to build professional relationships that will help them to take decent jobs. Any specialization or certification in PowerBI, Tableau, advanced Excel, Python, and R would be beneficial if an individual is taking an entry-level job. Conclusion ● The main responsibility is they have to extract data from various sources, to manage, filter, and interpret the data. It is used for market analysis, understanding consumerism, and the recent trends of the market. It is also helpful in ensuring the demand and supply of products and services. Though, it depends upon business-to- business for what purposes the data is collected and utilized. ● Entry-level data analyst jobs are in trend, in this data-driven era, everything is related to data, and there is a large amount of data flowing around us. ● The job profiles of a data analyst are SQL, PowerBI, and Excel. To have the knowledge of advanced MS Excel is also important for advanced functions, such as pivot tables, and v-lookups.

  5. ● Tableau and PowerBI are the two most used visualization tools. A data analyst must have knowledge of Python and R are the two most used programming languages. ● Certification in PowerBI, Tableau, advanced Excel, Python, and R would be beneficial if an individual is taking an entry-level job. ● The individuals who aspire to take a job as a data analyst must connect with the recruiters. The average salary ranges between $60,000 per annum to $80,000 per annum. Contact Us: Address: 1910 Association Dr STE 101, Reston, VA 20191, USA Phone: +1 804-454-3215 Email ID: info@optnation.com Social Media Sites https://x.com/optnation_usa https://www.facebook.com/optjob https://www.instagram.com/optnation/ https://in.pinterest.com/optnationusa/ https://www.youtube.com/@optnation6022

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