Opportunities For The Diverse in Today’s Layoffs

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From Google to Microsoft and Now Red Hat, layoffs seem to be everywhere you look.
I want to share my perspective on the recent layoffs in the tech industry and why it could be a positive opportunity for people of diversity who are in data.

The layoffs we have seen in companies such as Red Hat Software, Accenture, and Microsoft are not necessarily a sign of less need for data science personnel. Instead, it represents a shift in the tech industry towards more sustainable growth. These companies have been growing rapidly for the last few (many) years, fueled by venture capital, and the recent layoffs are an indication that these companies are coming back down to earth.

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Layoffs can be cause for uncertainty but, there is always an opportunity to be found if you know where to look.

This shift in the industry can be seen as a positive opportunity for people of diversity who are in data. As the industry transitions to a more sustainable model, there will be greater demand for diverse talent that can bring unique perspectives and ideas to the table. In other words, companies will start to recognize the value of having a diverse team and the impact it can have on their business.

For too long, the tech industry and data specifically, has been known for its lack of diversity, with many companies struggling to attract and retain diverse talent. But with the recent shift towards more sustainable growth, there is an opportunity for companies to reassess their hiring practices and focus on building a diverse team. This could mean more opportunities for women, people of color, and other underrepresented groups in data.

Yes, there has been a reduction in the actual diversity teams of some larger companies so this means HR and recruiting teams will have to work harder to both retain and attract the diversity that companies know is valuable to their growth. 
They could focus on doubling down and working twice as hard or they can focus on smarter options like working with Colaberry, a company that is dedicated to bringing diversity into the data industry. 90% of their consultants are DEI positive and 43% are female. It’s an easy solution to a difficult problem. 

Directors & hiring managers in data departments realize it’s important to recognize the value of diversity and be intentional about creating an inclusive workplace culture. This means not only hiring a diverse team but also fostering an environment where everyone feels welcome, valued, and supported.

The recent layoffs in the tech industry could be a positive opportunity for people of diversity in data and the companies smart enough to attract and fight to retain them. As the industry shifts towards more sustainable growth, companies will start to recognize the value of having a diverse team. As a director or hiring manager, it’s important to take advantage of this opportunity by being intentional about creating an inclusive workplace culture that values diversity and encourages everyone to bring their unique perspectives to the table.

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Smart companies know that when you’re looking for something special/specific it pays to work with a specialist. This holds true when it comes to data science and diversity.

If you and your company know how valuable diversity coupled with top-tier data skills can be and want to discuss adding talent to your team without the headaches of mountains of applications and having to vet the applicants that look good on paper, then we should talk.

Reach out to Sal and the Colaberry team today
Andrew “Sal” Salazar
[email protected]
682.375.0489

www.colaberry.com/contactus

DEI #’s & Upskilling VS Hiring

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DEI #’s & Upskilling VS Hiring

Diversity, equity, and inclusion (DEI) is not just a buzzword; it is a critical aspect of building a successful workforce. Studies show that companies with diverse teams are more innovative and make better decisions. According to a report by McKinsey & Company, companies in the top quartile for gender, racial, and ethnic diversity are more likely to have financial returns above their national industry median. Building a diverse and inclusive data analytics team is one area where companies can make a significant impact on their DEI numbers.

One reason upskilling an existing data analytics team is the smarter move for a company trying to bolster its DEI numbers is cost-effectiveness. According to the Society for Human Resource Management, the average cost per hire is $4,129, and the average time to fill a position is 42 days. In contrast, upskilling an existing data analytics team is a cost-effective approach, as the company already has employees familiar with the organization’s culture and processes. Additionally, a report by the Association for Talent Development shows that the cost of training and developing employees is typically lower than the cost of hiring new ones.

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Come See What A Colaberry Graduate Can Do. MORE INFO HERE

Another advantage of upskilling an existing data team is leveraging the team’s existing expertise. The team members have knowledge of the company’s business processes and data, experience working with data from different sources, and a deep understanding of the company’s data infrastructure. By upskilling them, the company can add new skills to its existing knowledge base, making the team more versatile and providing a broader range of insights.

Upskilling an existing data analytics team is also faster than hiring new employees. Hiring new employees can take months, especially for specialized positions. Even after the hiring process is complete, the new hires may take some time to get up to speed. In contrast, upskilling an existing team can be done in a matter of weeks or months. According to a report by the Association for Talent Development, 94% of employees say they would stay at a company longer if it invested in their learning and development.

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Learn how Colaberry saves companies time and money when it comes to sourcing data analytics talent.

Employee retention is a critical issue for businesses, and upskilling an existing data analytics team is an effective way to retain talented employees. According to a report by the Society for Human Resource Management, the average cost to replace an employee is 6 to 9 months’ salary for that position. Upskilling the team can demonstrate the company’s commitment to its employees growth and development, leading to greater job satisfaction and loyalty.

Finally, upskilling an existing data analytics team can help build a more inclusive culture. By providing training and development opportunities, the company demonstrates its commitment to providing equal opportunities for all employees. This sends a message that the company values diversity and is committed to providing an inclusive work environment. Additionally, upskilling the existing team can provide opportunities for employees who may have been overlooked in the past to develop new skills and take on more significant responsibilities.

If you are interested in upskilling your existing data analytics team, Colaberry can help. Colaberry offers upskilling programs that focus on data analytics, machine learning, and artificial intelligence. Their programs are designed to help organizations build a diverse and inclusive workforce while also improving their data analytics capabilities. Contact Andrew “Sal” Salazar at [email protected] or 682-375-0489 to discuss your upskilling or staffing needs.

-Andrew “Sal” Salazar 

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