I had the good fortune of getting to chat with newly minted Data Analyst Louis Mullen the other day.
Wow, was it a pleasure!
This young guy is doing all the right things, asking all the right questions, and has been more than willing to put in the work required to change his life.
And that's exactly what he did, recently landing his first data role as a Performance Analyst. I got to chat with him in depth about the role, and it sounds like he has a fantastic opportunity in front of him.
Louis was kind enough to record a quick video talking about his journey, which included tackling the Google certification first and then finding Maven Analytics later on.
What he shows us is that with the right attitude, a dedication to putting in the effort, and a good roadmap guiding you toward success, making a breakthrough career move can happen, and in pretty short order too!
Hear about the journey, directly from Louis in this quick video:
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.
