Data analytics: the labor shortage challenge

Published: May 29, 2023

Data analytics has become a strategic necessity as the volume of data generated by companies, organizations, and users increases. This has made Data Analytics teams critical to understanding data and making informed decisions. However, many companies face the difficulty of finding experienced professionals for their Data Analytics teams.

A D&A project requires skilled professionals in several areas, which can represent a big challenge to implement a data strategy in the short term. A survey published by Gartner in March 2023 proves what we have already noticed in the companies that seek our services: for 39% of the leaders interviewed, lack of skills and labor shortages are among the top three obstacles to building D&A projects that provide effective value to the business.

What professionals are needed for a data analytics team?

It is necessary to comprehend the roles of each professional in the data team to understand that the list of skills goes far beyond the ability to use data analytics tools. The following is a brief summary of the key roles of each professional in a Data Analytics team:

  • Data Project Manager

This professional is responsible for leading and coordinating the data analytics team. They must have project management skills, knowledge in business strategies, and interpersonal skills. The data project manager is tasked with leading the team to achieve the project objectives, managing the budget and schedule, and ensuring compliance with stakeholder expectations.

  • Data Architect

This professional is responsible for creating and maintaining the data infrastructure. They should have knowledge in database management, cloud technologies, networking, and data security. The data architect has the task of creating scalable and secure systems to collect, store, and process data.

  • Data Engineer

This professional is responsible for building and maintaining data pipelines. They should have programming skills, knowledge in data processing technologies, as well as knowledge in databases and data storage. The data engineer is tasked with creating and maintaining automated workflows to collect, process, and store data from different sources.

  • Data Visualization Specialist

This professional is responsible for creating data visualizations to help the team better understand the data. They should have graphic design skills and knowledge in data visualization tools. The data visualization specialist has the task of creating clear and easy-to-understand data visualizations to help the team make informed decisions.

  • Data Analyst

A data analyst is responsible for collecting, organizing, and interpreting data using data analytics tools to gather insights that help make strategic decisions. The data analyst uses statistical and machine learning techniques to identify patterns and trends and generate reports and visualizations relevant to the business problem.

  • Data Scientist

This professional is responsible for collecting, analyzing, and interpreting data to create solutions to business problems. The data scientist must have skills related to programming, mathematics, statistics, and knowledge in data analytics tools. They must also be able to work in teams to extract valuable insights from the data. The data scientist is tasked with exploring the data, applying statistical techniques to understand the relevance of the data, and developing predictive models to forecast future trends.

Each of these professionals plays a key role in a data analytics team. Working together, they are able to collect, organize, analyze, and visualize data to help companies make informed decisions and take fact-based action.

However, it is important to remember that the data analytics team is not static. As the needs of the company change, the team needs to adapt. It is important that the team is always learning and evolving, following the trends and changes in the market to ensure that they are always prepared to face new challenges.

Having a partner like e-Core for data analytics projects, in addition to meeting the demand for professionals in the short term, can also provide other benefits, such as having professionals experienced in data projects in your industry available to your business, scaling your data strategy faster, and increasing the potential of using the data present in your company as a competitive advantage.

Contact us and learn how e-Core can contribute to take your data strategy to a strategic level, with fast results!

Matheo Pegorato

Vice-president of sales at e-Core


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