The entire Maven team was thrilled to hear that Bryce landed a role as a Data Analyst with the London Stock Exchange Group.
Bryce is the perfect example of a student we love working with.
From the moment he applied to our program, here's what stood out about him:
He was super enthusiastic
It was clear he was willing to put in the work
He knew exactly what he wanted
Bryce's performance really stood out.
While the rest of his cohort was completing the core Excel module, Bryce had already surged ahead and was tackling advanced electives on his own.
In the career coaching sessions, he was engaged, and he always prioritized the follow up work, getting his resume, linkedin, and project portfolio buttoned up to market himself.
The whole time, he was just so eager to learn, so willing to work hard, and was a wonderful, positive person who was fun to work with. Couldn't ask for a better student!
Now Bryce's work ethic is paying off, and he starts his first Data Analyst role next week.
Congratulations Bryce!
You can hear more about his learning experience and how he got the job in this quick video:
Maven's Latest Offering
If you're interested in Maven's current offering, we've created a more modular Intensive learning program, that we call cohort learning.
The idea is you focus on one tool at time, for short sprints, which include live sessions, hands-on projects, and flexible self-paced study.
You can see all the details here:
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John Pauler
Partner & CRO
John brings over 15 years of business intelligence experience to the Maven team, having worked with companies ranging from Fortune 500 to early-stage startups. As a MySQL expert, he has played leadership roles across analytics, marketing, SaaS and product teams.
Frequently Asked Questions
What is Maven Analytics?
Maven Analytics is an online learning platform that helps professionals and organizations build practical data and AI skills in analytics, business intelligence, and data science. Our hands-on courses are designed to help learners stay competitive and future-proof their careers in the age of AI.
Are data analysis and data science still good career paths?
Absolutely. As long as companies collect and use data, they need people who know how to turn that data into results. Roles are changing, and so are the skills needed to succeed, but the career paths remain strong. Focus on data literacy fundamentals, business thinking, communication skills, and learning how to use modern data and AI tools, and you can build a strong career.
Will AI replace data jobs?
AI is changing how data professionals work, but it is not replacing the need for skilled analysts and data scientists. Instead, AI is becoming another tool in the data workflow. Organizations still need people who can ask the right questions, interpret results, communicate insights, and apply data to real business decisions. The most successful professionals will be those who learn how to combine core data skills with modern AI tools.
How can I future-proof my career in analytics?
Future-proofing your analytics career means building strong core data skills, understanding business context, and learning how to work effectively with AI rather than compete with it. The goal is to become a better analyst, problem solver, and decision-maker.
How long does it take to build job-ready data skills?
That depends on your starting point and goals, but many learners can build meaningful skills over a few months with consistent practice, even when studying part-time. The most important factor is applying what you learn through hands-on projects and real business problems.
