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What does a Data Analyst do? and What You Should Know in 2022

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Why is a data analyst important to any business?

A data analyst’s main role is to help organizations make better decisions by analyzing data. In 2022, the demand for data analysts is expected to grow by 27%. The reason for this growth is because there is a lot of data that needs to be analyzed, and Machine Learning including Artificial Intelligence is becoming more relevant and important.

What is expected of a data analyst

A data analyst is expected to have strong skills in data analysis, as well as experience working with raw data. Data analysts are responsible for cleaning, organizing, and analyzing data, as well as providing insights and recommendations based on their findings. They must be able to effectively communicate their findings to others, both verbally and in writing.

They are also expected to present their findings in a clear and concise manner, as well as propose strategies that can help improve an organization’s performance. They should also be able to influence decision-makers within an organization to adopt a data-driven culture.

What are the responsibilities of data analyst

The responsibilities of a data analyst can vary depending on the organization they work for, but typically involve working with large data sets to identify trends, patterns, and relationships. They use their findings to help make business decisions and solve problems. 

Data analysts often use statistical analysis and data mining techniques to find hidden insights in data. They may also develop dashboards and reports to visualize their findings for others to easily understand. This usually involves working with databases, as well as tools for statistical analysis and data visualization. A data analyst is also responsible for developing and maintaining the systems that collect and store the data.

What skills are needed to become a data analyst

Common skills needed to carry out the work includes:

  • Cleansing data
  • Working with data models 
  • Working with databases
  • Use of statistical tools such as Excel, Tableau, SQL, Python and R
  • Good presentation skills

Data analysts also need to have experience in identifying business problems and strong communication skills in order to explain their findings to non-technical staff and management. You can validate the above skills by simply checking on LinkedIn job postings for Data Analyst roles. Most of the job postings include the familiarity of using algorithms and statistical tools to analyze data, collecting entry-level data, data cleansing, communicating findings to stakeholders, developing business intelligence reports and conducting market research. 

The most important skill of a Data analyst is to collect data as well as develop programs like machine learning and artificial intelligence to automate tasks or develop new tools. They also need to have strong experience in identifying if there is a need for data to expand sample size in order to make significant findings.

Top skills for data analyst

I have shortlisted the top job postings recommended in LinkedIn to understand the most common terms and keywords mentioned in job titles, job roles and responsibilities. See my findings below:

Data to analyze are the most frequently mentioned keywords within the LinkedIn Job Title, Job Description and Job Requirements.

Data Analyst Jobs from LinkedIn

LinkedIn Screenshot

Years of experience required for each role are also collected to help identify level of background, training and experience needed. 

Data Analyst collected are consolidated in Google Sheet

Data collected are consolidated in Google Sheet

Basic Exploratory Data Analysis 

Percent of jobs based on levels

Percent of jobs based on levels split by scope

Data Analyst Job Titles for Senior Roles 


Key responsibilities of a Data analyst in Senior Roles

Job Description for Data Analyst Senior Level

Top skills required for Senior Roles

Job Requirments for Data Analyst Senior Level


Data Analyst Job Titles for Middle Roles 

Data Analyst Job Titles for Senior Roles 


Key responsibilities of a Data analyst in Mid Roles

Data Analyst Job Description for Senior Roles 

Skills and qualifications required for Mid Roles

Skills and qualifications required for Mid Roles

In summary, financial and technology firms tend to be the top organizations looking for data analytics talents.  To become a successful data analyst role, you will need to interpret data and analyze to find trends and patterns. You will also need to communicate your findings to others in a clear and concise manner. In addition, you will need to use different software programs to manipulate and visualize data.

What is the career path for a data analyst?

Data analytics is a growing field. In most cases a good data analyst can move and become a Business Intelligence officer, a Data Engineer or a Data Scientist which is in high demand in this generation. A career as a data analyst can be very rewarding, as you help companies make good decisions based on data.

The career path for a data analyst typically involves completing a bachelor’s degree in computer science, mathematics, or a related field. Many data analysts also have experience working with databases and statistical software. Data analysts typically have a bachelor’s degree in a quantitative field. Many also have master’s degrees or PhDs. 

After completing a bachelor’s degree, data analysts may find entry-level positions in fields such as market research, business intelligence, or management consulting. With experience, data analysts can move into more senior positions such as data scientist or big data engineer.

As someone who uses data to help organizations make better decisions. Data analysts typically have a background in mathematics, statistics, computer science, or another quantitative field. They use their skills to clean, organize, and analyze data.

How much does a data analyst earn?

A data analyst’s annual salary can range from $60,000 to $90,000 according to Glassdoor. A successful data analyst must have strong analytical and problem-solving skills, as well as be able to effectively communicate their findings to others. 

To become a data analyst, one typically needs at least a bachelor’s degree in a field such as mathematics, statistics, or computer science. However, many employers prefer candidates with a master’s degree in data science or a related field. Data analysts can expect to earn a good salary, the median annual salary of data scientists being $118,370.

Data analyst job postings

Business functions that require data analysts are in high demand, and job listings or job openings for analysts are growing rapidly. The career outlook for data analysts and scientists is very positive, with many openings expected in the coming years.