If you’re looking for up-and-comers in the data space, then you should definitely be following Mars Huynh!
Mars has been a community stand-out for the Maven team for a while now; as a newcomer to data, they have exhibited a deep passion for learning and commendable transparency on LinkedIn throughout the process.
From sharing their project work to actively engaging with the online community and providing insight into their unique experiences, Mars has contributed tremendous value to the conversation around data analytics and inclusivity.
So when they landed a new role as a Sr. Data Analyst with Loblaw Companies Ltd shortly after enrolling in our part-time data analyst bootcamp, we knew we wanted to share their story!
We immediately sat down with Mars to discuss the journey, from developing their data skills to getting hired.
Check out the highlights below, where Mars talks about:
Pivoting their career: from Rehabilitation Therapy Assistant to Senior Analyst
Breaking into data analytics without a traditional computer science or business degree
How they leveraged project work and their Maven Showcase portfolio to get hired
The value they found in Maven Analytics courses and the data community
Want to check out the FREE Portfolio Builder that helped Mars launch their career?
Maybe you'll build one yourself!
You can check out our Data Analyst Showcase, including portfolios and projects from your peers, here: https://mavenanalytics.io/showcase
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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.
