Google Exec Highlights High-Demand Job That Doesn’t Require a College Degree

Google Exec Highlights High-Demand Job That Doesn’t Require a College Degree
A growing field with six-figure salary potential and accessible training options.
Data analytics has emerged as a lucrative career path that doesn’t require a traditional college degree, according to Lisa Gevelber, Vice President at Google and founder of the Grow With Google program. In a recent report, Gevelber emphasized the immense demand for skilled professionals who can interpret data to guide business decisions.
Entry-level data analysts earn a median salary of $93,000, with experienced professionals making around $110,000 annually, according to Glassdoor. In industries like tech, finance, healthcare, and manufacturing, remote opportunities can pay up to $150,000 per year.
Certification programs, such as Google’s data analytics course available for $49 per month, offer an accessible entry point into the profession. Other organizations, including IBM and CompTIA, also provide training programs to prepare candidates for these roles. The U.S. Bureau of Labor Statistics predicts a 30% growth in data analytics jobs over the next decade, three times faster than the average job growth rate.
Data analysts play a vital role by identifying trends and interpreting raw data to generate insights that shape business strategies. They frequently use tools like Excel, SQL, and Tableau to analyze metrics such as sales performance and website traffic, helping organizations operate more efficiently.
Gevelber highlighted the skill-based nature of data analytics, which lowers traditional educational barriers. She also noted that proficiency with artificial intelligence (AI) tools can provide a competitive edge by enhancing productivity in tasks such as cleaning data and creating visualizations.
Searches for “data analytics skills” and “data analytics jobs” on Google have reached a five-year high, underscoring growing interest in this dynamic field. As Gevelber put it, “The versatility of data analytics means that it doesn’t matter where you live or what industry you work in.”