Data Analyst vs. Operations Analyst: What Are the Differences?

Data analysts and operations analysts are both important positions in any company. They are responsible for different tasks, but both work with data to help improve the efficiency of the company. In this article, we will discuss the similarities and differences between these two positions. We will also provide tips on how to become a data analyst or operations analyst.

What is a Data Analyst?

Data Analysts are responsible for collecting, organizing and analyzing data to help businesses make better decisions. They use Excel, SQL and other software to manipulate data, as well as their own mathematical and statistical skills to interpret data sets. Data Analysts present their findings to company leaders in reports, charts or presentations, and may make recommendations on how the business can improve operations or sales based on their analysis. They may also develop new ways to collect data that can be more efficiently analyzed. Data Analysts typically have a bachelor’s degree in mathematics, statistics, computer science or a related field.

What is an Operations Analyst?

Operations Analysts are responsible for conducting analysis to improve the efficiency and effectiveness of an organization’s operations. They work with data to identify trends and issues, and then develop recommendations for improving processes. Operations Analysts also develop and implement new methods for managing and analyzing data. They may also be responsible for training other staff on new methods and tools. Operations Analysts typically work in office settings, but may also travel to visit clients or other locations as needed.

Data Analyst vs. Operations Analyst

Here are the main differences between a data analyst and an operations analyst.

Job Duties

Both data analysts and operations analysts have similar job duties, although the tasks they complete each day depend on their specific industry. For example, a data analyst might conduct surveys to gather information about their customers or the general public. Then, they analyze that data to determine what their company should do next. Operations analysts also use data to make decisions, but they typically focus more on internal business processes rather than customer experience.

For example, a data analyst could look at how many customers abandon their shopping cart when trying to purchase a product online. The analysis of this data may lead them to suggest making changes to the website to encourage more people to finish their purchases. An operations analyst might suggest creating new policies for shipping to ensure packages reach customers on time. Both jobs involve using data to make decisions, but the decisions each professional makes affect their company differently.

Job Requirements

Data analysts typically need at least a bachelor’s degree in computer science, mathematics or another related field. They might also pursue a master’s degree in business administration with a focus on data analytics. Data analysts might also earn certifications to show they have the skills employers are looking for. For example, the Certified Analytics Professional (CAP) credential is offered by INFORMS, an organization for professionals who work with data.

Operations analysts usually need a bachelor’s degree as well, although some employers prefer candidates who have a master’s degree. Common majors for operations analysts include business administration, economics and engineering. Many operations analysts also have experience working in the field they plan to analyze. For example, an operations analyst who wants to help improve the efficiency of a manufacturing company might have experience working in that industry.

Work Environment

Operations analysts typically work in an office setting, but they may also travel to visit clients or attend conferences. They often spend their days sitting at a desk and using computers to complete projects.

Data analysts usually work in an office environment as well, but they may also travel to meet with clients or attend conferences. They may also spend time working on the road, traveling to different locations to collect data for analysis.

Skills

Both data analysts and operations analysts use analytical skills to examine data and draw conclusions from their findings. They also both need to be able to effectively communicate their findings to those who may not have the same level of data analysis expertise.

Data analysts typically use statistical software programs to analyze data sets and identify trends. They also may use spreadsheet software to organize and manipulate data. Operations analysts usually use business intelligence software to track key performance indicators and help improve operational efficiency.

Both data analysts and operations analysts need to have strong problem-solving skills. Data analysts use their problem-solving skills to find solutions to issues with data sets, such as incorrect values or missing information. Operations analysts use their problem-solving skills to identify inefficiencies in business processes and develop solutions to improve them.

Salary

Data analysts can earn an average salary of $75,765 per year, while operations analysts can earn an average salary of $68,036 per year. Both of these average salaries may vary depending on the size of the company at which you work, location of your job and the level of experience you have prior to pursuing either position.