Data Analyst vs. consultant: What Are the Differences?

Data analysts and consultants are both professionals who work with clients to help them solve problems. Data analysts use data to find trends and develop solutions, while consultants provide expert advice and recommendations. Both roles require strong analytical and communication skills. In this article, we compare and contrast data analysts and consultants, and we provide information on what you can expect from each profession.

What is a Data Analyst?

Data Analysts collect, organize and study data to help a company make better business decisions. They use their findings to improve processes, products and services. Data Analysts typically have a background in mathematics, statistics or computer science. They use this knowledge to develop algorithms, create models and run simulations. Data Analysts also use their communication skills to present their findings to managers, executives and other stakeholders. They may also be responsible for training other employees on how to use data to make better decisions.

What is a Consultant?

Consultants provide expert advice in a particular area of business, such as marketing, human resources, finance or information technology. They are hired by companies to help solve specific problems or improve overall performance. Consultants typically have extensive experience in their field and are able to offer fresh perspectives to help organizations achieve their goals. They conduct research, analyze data and develop recommendations to help their clients improve their operations. In some cases, consultants may also be responsible for implementing the changes they recommend.

Data Analyst vs. Consultant

Here are the main differences between a data analyst and a consultant.

Job Duties

Both data analysts and consultants can perform a variety of tasks to help their clients. However, the duties they carry out depend on the client’s needs. For example, a data analyst might use an organization’s data to identify areas for improvement. Then, they present this information to the company’s leadership so they can decide how to improve operations. A consultant might approach a client with a solution in mind. They might suggest that the client hires them as an employee or uses another service to assist them with improving their operations.

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. To earn this credential, candidates must pass an exam that covers topics like statistics and data mining.

Consultants usually need at least a bachelor’s degree in a relevant field, such as business administration, economics or accounting. However, many consultants have a master’s degree, such as a Master of Business Administration (MBA). Some consultants also pursue professional certifications, such as the Certified Management Consultant (CMC) credential offered by the Institute of Management Consultants USA. To earn this credential, candidates must have several years of experience in management consulting and pass an exam.

Work Environment

Data analysts and consultants work in different environments. Data analysts typically work for companies or organizations that need data to make decisions, such as a marketing firm or healthcare provider. They may also work for government agencies or non-profit organizations.

Consultants often work for consulting firms, but they can also work for other types of businesses. Consultants usually travel frequently to meet with clients and provide them with advice on how to improve their business operations.

Skills

Both data analysts and consultants need to have excellent analytical skills. Data analysts use their analytical skills to examine data sets, identify trends and develop recommendations based on their findings. Consultants also need to be able to analyze information, but they typically do so to understand a client’s needs and then develop strategies to address those needs.

Data analysts also need to have strong technical skills. They need to be able to use statistical software programs, like SAS and SPSS, to manipulate data. They also may need to know how to code in languages like SQL, Python and R to access data stored in databases. Consultants also may need to have some technical skills, depending on their area of specialty. For example, if they are working as an IT consultant, they will need to have strong knowledge of different computer systems and networks.

Both data analysts and consultants need to have strong communication skills. Data analysts need to be able to communicate their findings to clients or employers in a clear and concise manner. Consultants need to be able to listen to their clients’ needs and explain their proposed solutions in a way that is easy for the client to understand.

Salary

Data analysts can earn an average salary of $75,765 per year, while consultants can earn an average salary of $84,847 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.