Data Analyst Engineering Careers in Chicago

Best Data Analyst Jobs in Chicago

Find your next job as a Data Analyst in the city of Chicago, Illinois. Check out the best job offers for data analysts & engineers from top companies.

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About Data Analyst Jobs Chicago

A data analyst is a business analyst that handles explicitly matters related to data science. So, a data analyst analyzes a company’s statistical data using various tools to collect valuable information. However, data analyst jobs in Chicago are not easy to come by. The job market is competitive, and the most sought-after data analyst jobs usually require a specific set of skills.

But with the right mindset and a bit of research, it is possible to find data analyst jobs in Chicago. The best place to start is by looking for data engineer jobs. These jobs are often posted by companies that are looking for someone with data analyst experience. Another option is to look for remote data engineer jobs.

These jobs are not as common, but they are a great way to get your foot in the door of the data analyst field. With a bit of effort, you can find data analyst jobs in Chicago that suit your skills and experience.

A data analyst is a business analyst that handles explicitly matters related to data science. So, a data analyst analyzes a company’s statistical data using various tools to collect valuable information. The information gathered from the data analysis helps companies make crucial decisions.

Furthermore, a data analyst helps design insights and strategies from the conclusions drawn from data analysis.

The definition of a data analyst above slightly explains what a data analyst does. However, we can get deeper into a data analyst’s specific roles and responsibilities. A data analyst’s role is to collect, clean, and interpret data sets to resolve an issue or answer a question. Besides this, below are other key responsibilities of a data analyst:

  • Converting raw statistical data into meaningful information
  • Examining statistical data to understand dataset traits and select the best evaluation or analysis techniques
  • Designing and implementing systematized databases for data assembly from the structures
  • Gathering and classifying data according to a previously-designed and defined database
  • Filtering and cleaning data using various technical tools, software, methods, and systems to eliminate errors, duplicates, and undesirable information
  • Determining the best course of action depending on the conclusions drawn from data analysis using technologies like machine learning

You cannot wake up and decide to become a data analyst. This job requires specific technical skills. For example, a data analyst must have mathematical and statistical skills for designing and visualizing data. Also, you need extensive computer and technical know-how. Additionally, a data analyst requires good communication skills. In addition to these, below are some other critical skills you need to become a data analyst:

  • Analytical skills: they help you gather, visualize, and construe information to understand its source, cause, and effect.
  • Mathematical skills: they collaborate with numerical skills for statistical data computation
  • Technical skills: you need technical skills to execute data analysis tasks, like collection and computation. It would help if you also had technical knowledge of database platforms for data organization and presentation.
  • Software skills: you need some basic software knowledge, like software language, to run technical processes necessary for data analysis
  • Programming skills: these skills will help with data processing
  • Database tools: you require skills for using database tools like Microsoft Excel and SQL. Furthermore, it would help if you had a proficient understanding of spreadsheet tools to help with data visualization and presentation
  • Workplace skills: you need good communication and collaboration skills to help with decision-making, problem-solving, and teamwork.

Data analysis is a popular career in Chicago, Illinois. This is primarily because many businesses based in this city require data analysis services. Therefore, finding data analyst jobs Chicago is not that hard. Below is a guideline for becoming a data analyst in Chicago:

  • Understand the concept of data analysis and what it entails
  • Research what a data analyst does
  • Get the necessary education and certification to become a data analyst
  • Acquire the necessary skills for getting data analyst jobs Chicago
  • Research the salaries, work scope, and responsibilities for such jobs Chicago
  • Get the necessary experience and acquire industry knowledge
  • Work on projects with real data to learn how to find value in data and gain experience working in real-world settings
  • Develop a work portfolio to demonstrate your skills to hiring committees and managers
  • Apply for jobs

Data analyst jobs Chicago are pretty lucrative. The average data analyst salary in Chicago is around $73,630 annually. However, the salary usually ranges depending on the duties and the employer.

For example, a lead data analyst in Chicago makes from $77,447 to $97,126 annually. On the other hand, an entry-level data analyst job pays around $52,000 per year. The average hourly rate for a data analyst is $35.27 per hour.

The salaries also differ depending on the education, certification, extra skills, and years of experience in the sector.

In the next ten years, the job outlook for data analysts is expected to grow much faster than average for all occupations. Employment growth will be driven by the growing demand for data analytics and the need to quickly analyze large amounts of data. Data analysts who can work with a wide range of different types of data, including structured and unstructured data, will have the best chance of finding long-term employment.
There are several key factors contributing to the growth of the data analyst profession. First and foremost, there is a need for people who can analyze data and make sense of it to help companies make better decisions and operate more efficiently.

Second, technology is increasingly important in how businesses operate, and organizations are looking for people who can help them leverage that technology to the best effect.
Finally, businesses increasingly rely on big data to help them make informed decisions about what products to launch and where to invest their resources. As a result, there is an increasing demand for people who can analyze that data and bring some order to it.