Over the past ten year, data-centric roles have seen a surge in popularity. This is especially true in the last five years. Although data analyst and data science roles share some similarities, especially when it comes to the basics of each job, they each play an important part in a business or organization but have different day-today functions.
This article will explain the main responsibilities of data scientists and data analysts, their value to an organization, as well as how to start your career in these areas.
What is a Data Analyst?
Data analysts are responsible for the design and maintenance of data systems and processes. They are the ‘gatekeeper’ of data in an organization and help to inform strategic business decisions.
Data analysts are data scientists who collect data and translate it into layman terms to help companies make better business decisions and decide the next steps. This is a vital role as the data they collect can have a significant impact on an organization’s future.
According to LinkedIn, the field of data science has seen a 46% increase in its hiring since 2019. This makes it an important role for all companies and organizations. It also shows that there is a high demand for these positions.
What does a Data Analyst do?
Data analysts can also use data systems to identify bottlenecks and areas for improvement that are slowing down processes, especially in large companies. This important role can increase efficiency and organization in a company, as well as identify and fix code problems and other data-related issues.
Top Data Analyst Skills You Should Know
Data analysts must be very organized as they work with lots of code and data. Data analysts must be able to access, store, and access the data.
Strong mathematical skills are also required, as data analysts are responsible to collect, measure, analyze, and interpret data. This role is also known for its analytical skills.
These are the most important skills for data analysts if you’re interested in a career.
Microsoft Excel
Outstanding organizational skills
Critical thinking skills
Data visualization (representing data via graphs or other visual means)
Programming knowledge (Python R, SQL)
Analytical skills
Understanding of report generation
Data Analyst Roles and Responsibilities
Data analysts typically have the following responsibilities:
Data management, including creation, update, and deletion
Managing users and roles
Helping maintain data systems
Reporting and analysis
Examining data for potential errors, bottlenecks, or opportunities for improvement
Collaborating with other technical teams to identify opportunities for process improvement and system modifications
They collect, monitor, organize, and manage data day-to-day. They may also assess trends and bottlenecks and identify areas for improvement with the help of other teams.
Data Analysts are able to help executives make informed business decisions that will help them reach their organizational goals.
Data Analyst Jobs for Entry-Level Positions
If you are new to the field and want to start your career as a data analyst you will need an entry-level job that can help you get started. Internships can be a great way for you to gain real-world experience and also serve as a reference.
Before you can become a data analyst, however, you need to have the basics. This includes knowledge of programming languages and data tools, as well as how to visualize and present data for an organization.
Programming languages
A coding bootcamp is the best place to begin. Coding Dojo offers flexible, part-time and easy-to-access bootcamps in coding that will prepare you to become a data analyst.
This course will teach you everything about Python data science and machine-learning, which are essential parts of this field. This course is designed to prepare you to become a data analyst.
Data tools
Data analysts are required to use tools to store, organize, and monitor company data. It is essential to be able to use this software. Your future employer will need to know how you use it.
It’s a great way of showing that you are able to work as a data analyst, and to demonstrate that you have the discipline to learn and work towards your career goals. These are essential tools you will need to be considered for hire.
SQL is an advanced tool that allows you to work with large amounts of data. It may not be necessary for entry-level workers, however.
