The data has changed the face of our world over the last ten years. The many emails, text messages we share, YouTube videos we watch are part of the nearly 2.5 quintillion bytes of data generated daily around the world. Businesses, both large and small, handle huge amounts of data, and much depends on their ability to gather meaningful insights from them. A data analyst does just that. They interpret statistics and turn them into useful information that companies and organizations can use to make critical decisions.

Organizations in all sectors are increasingly dependent on data to make critical business decisions, such as which products to make, which markets to enter, which investments to make, or which customers to target. They also use data to identify weak areas in the business that need to be addressed.

As a result, data analytics has become one of the most sought after jobs in the world, and data analysts are in demand by the world’s largest organizations. The salary and benefits of the data analyst only reflect the demand for this position, which is likely to continue to grow by leaps and bounds.

So, if you have the skills to become a data analyst, you will be careful not to take advantage of this scenario. In this article on “job description of a data analyst”, let’s look at all the aspects related to this job, and finally discuss in detail the job description of a data analyst.

What is a data analyzer?

The role of a data analyst can be defined as someone who has the knowledge and skills to turn raw data into information and insight that can be used to make business decisions.

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Data analyst job description: Roles and responsibilities

  • Use of automated tools to extract data from primary and secondary sources
  • Remove corrupted data and correct coding errors and related issues
  • Development and maintenance of databases, data systems – reorganization of data in a readable format
  • Performing an analysis to assess the quality and relevance of the data
  • Filter data by reviewing reports and performance metrics to identify and correct code issues
  • Use statistical tools to identify, analyze and interpret models and trends in complex datasets that could be useful for diagnosis and prediction
  • Assign numerical value to key business functions so that business performance can be assessed and compared over time.
  • Analyze local, national and global trends that affect both the organization and the industry
  • Prepare management reports indicating trends, models and forecasts using relevant data
  • Work with programmers, engineers, and management executives to identify opportunities to improve processes, propose system modifications, and develop data management strategies.
  • Prepare final analysis reports for stakeholders to understand the steps of data analysis, allowing them to make important decisions based on different facts and trends.

Another integral element of a data analyst’s job description is the EDA or exploratory data analysis project. In such data analyzer projects, the analyst must verify the data to identify and identify patterns. The next thing data analysts do is use data modeling techniques to summarize the general characteristics of data analysis.

Data analyzer skills are required

Now that you know the job description of a data analyst, let’s look at the skills you need to become one. A successful data analyzer must have a combination of technical and leadership skills. Experience in math, statistics, computer science, information management or economics can serve as a solid foundation for building your career as a data analyst.

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Key skills for a data analyst

  • Strong mathematical skills to support data collection, measurement, organization and analysis
  • Knowledge of programming languages ​​such as SQL, Oracle, R, MATLAB and Python
  • Technical skills in developing database design, data models, data retrieval and segmentation techniques.
  • Experience working with report packages such as business objects, programming (Javascript, XML or ETL frameworks), databases
  • Proficiency in statistics and statistical packages such as Excel, SPSS, SAS to be used to analyze a set of data
  • Skillful in the use of data processing platforms such as Hadoop and Apache Spark
  • Knowledge of data visualization software such as Tableau, Qlik
  • Knowledge of how to create and apply the most accurate algorithms to datasets to find solutions
  • Problem solving skills
  • Accuracy and attention to detail
  • Able to inquire, write reports and make presentations
  • Ability to work in team
  • Oral and written communication skills
  • Proven professional experience in data analysis

Data analyzer qualifications: what is needed

Following the job description and skills of the data analyst, let’s learn more about the qualification of a data analyst. You need more than technical experience to excel in a career in data analysis. A bachelor’s degree in a field that emphasizes statistical and analytical skills is desirable. Students in mathematics, statistics, computer science, or economics usually have an advantage in a career as a data analyst. However, a postgraduate course in data analysis such as Data Analytics Bootcamp can make you an industry-ready professional.

You will also need soft data analyzer skills such as:

  • excellent communication and presentation skills
  • ability to think critically
  • creativity
  • to have a systematic and logical approach to problem solving
  • Ability to work in team

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Data Analyst Salary: How Much Does a Data Analyzer Make?

Are you excited enough about the job description of the data analyzer? If not, let’s look at some salary data for this job. However, keep in mind that a data analyst’s salary depends on a number of factors, such as educational qualifications, location, relevant experience, and skill set.

The average annual salary of an experienced data analyst can range from approximately $ 60,000 to $ 140,000. Financial and technology companies tend to offer higher-than-average pay.

The average salary of a data analyst for different markets is approximately $ 73,528

Data analysts usually move to higher positions such as senior data analysts, data scientists, data analysis managers, business analysts, etc. Higher responsibilities also come with a significant increase in pay. The average annual salary of scientists is estimated to start at about $ 95,000, while that of analysts starts at about $ 106,000.

Watch the video below, which will help you understand the different responsibilities, skills required and salary structure of the leading positions in Data Analysis.

Top companies hire data analysts

If you are looking for a job as a data analyst, you can choose from more than 86,000 vacancies worldwide. Shocking, isn’t it? This is mainly due to the fact that almost all industries benefit from data analysis. Today, the job description of the data analyst branches into various specializations such as finance, healthcare, business, marketing and e-commerce.

Business intelligence companies currently have the largest number of data analyst jobs in the United States and Europe, followed by finance, economic sharing services, healthcare and entertainment companies.

Some of the world’s leading companies hiring data analysts include Amazon, Netflix, Google, Intuit, Facebook, Apple, CISCO Systems. Smaller companies include Focus KPI, Affinity Solutions, Norgate Technology, financial giants such as Paypal and Barclays also hire data analysts in various departments.

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Start becoming a data analyst today!

Now that you know all about the job description, skills and qualifications of a data analyst, are you wondering how to get a job as a data analyst? Let’s break down career development. It would be easy for you to take an entry-level data analysis job if you have a certificate from a top-rated data analysis program like the ones we offer here at Simplilearn. Even if you have no experience in data analysis, consider this a successful career as a data analyst.

  • Earn a bachelor’s degree from a reputable university in an area that emphasizes statistical and analytical skills
  • Learn data analysis skills

  • Consider getting a certificate in Data Science or Business Analytics
  • Get your first job as a data analyst
  • Earn a master’s degree in data analysis and you can become a data engineer and eventually a data scientist.

There is no shortage of jobs for experienced data analysts wherever you are. A career as a data analyst is a rewarding journey to begin with, regardless of the industry you choose to work in.

Want to learn more about how to get a job as a data analyst? Prepare for Data Analyst interview questions with one of the data analysis courses offered by a top educational institution such as Simplilearn, one of the world’s leading online certification training providers.

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