Here are some recent trends in data analytics recruiting:
Increased demand for remote work: The COVID-19 pandemic has led to an increase in remote work opportunities across industries, and data analytics is no exception. Many companies are now open to hiring remote data analysts and data scientists, which has expanded the talent pool and opened opportunities for candidates who live outside of traditional tech hubs.
Emphasis on soft skills: While technical skills are still crucial in data analytics, there has been a growing emphasis on soft skills such as communication, problem-solving, and collaboration. This is because data analysts often work with stakeholders from different departments within a company, and they need to be able to communicate insights effectively to drive decision-making.
Increased diversity and inclusivity: Many companies, including those in data analytics, are recognizing the importance of diversity and inclusivity in their hiring processes. This has led to an increase in outreach to underrepresented groups in tech, as well as the implementation of strategies to reduce bias in the hiring process.
Focus on upskilling: As the demand for data analytics skills grows, many companies are investing in upskilling their existing employees rather than hiring new talent. This allows companies to retain their current employees while also building a more data-driven culture within the organization.
Use of artificial intelligence in recruiting: AI-powered tools are increasingly being used in the recruiting process to help identify and screen potential candidates. These tools can analyze resumes and job applications, as well as conduct preliminary interviews, to help streamline the hiring process and reduce bias.
AI in Data Analytics
It is predictable that in the near future, the trend will be toward what have previously been unknown or unvalued skills. AI, for example, has been a staple of science fiction since Karel Čapek wrote his play R.U.R. in 1920 and popularized the term “robot.” Just over a hundred years later, AI has become a reality and is in wider and wider use.
Data Analytics Recruiting
This means that recruiting in the Data Analytics field will place a premium on people with a keen interest in innovation and creativity, who are unbound by “the way it’s always been done,” or certainty about what is possible and what isn’t. A potential problem is that people with this personality type are often difficult to manage and uncomfortable in a traditional, hierarchical organizational structure. Many tech startups, which tend toward very loose, non-hierarchical organizations are struggling with this already as growth and institutionalization push them toward more traditional ways of doing things.
Data Analytics Hiring
This means that recruiting for Data Analytics hires, even in the very near future, will require a deeper look at a potential hire’s personality, communication skills, interpersonal skills, etc. What all this points to is a whole new set of concerns regarding recruiting, hiring, and retention for Data Analytics across the entire spectrum of US industries. Given the complexity of the change, companies will need to recruit, interview, and screen in a whole new way. A relationship with a recruiting firm that understands and stands for the demands of this new world is likely to produce the best results. An effective recruiting partner will partner with the company to identify the right combination of skill and experience to find the top candidates and to convey to them what the hiring company stands for.
BrainWorks is a recruiting organization that partners with clients to match them with recruiters who are experts in meeting their needs.