From student to $750/day as a data analyst

When I started my journey in business school, I had no idea I would end up working as a data analyst for luxury brands like Hermès and companies within the LVMH group. But here I am, three years later, earning $750 per day as a freelance data analyst. Let me share how I made this transition and what actually got me hired at each step.

The unexpected start: a marketing internship changed everything

For my first three years of university, I was on a traditional business school path, working toward my Bachelor's degree. Data analysis wasn't even on my radar. Everything changed during a marketing internship at an insurance company toward the end of my second year.

During that internship, I was introduced to Google Analytics and web analysis. I was immediately hooked. There was something incredibly satisfying about turning raw data into actionable insights that could drive real business decisions.

I must have made a good impression, because during my third year (my Bachelor year), the company asked me to work part-time as a web analyst to cover for someone going on leave. This opportunity was gold. For almost the entire academic year, I worked as a web analyst, gradually taking on more complex data projects. I taught myself how to build automated dashboards and create comprehensive reporting systems from scratch.

The pivot: choosing the right Master's program

By the time I finished my Bachelor's, I knew I wanted to pursue data analytics seriously. But I also didn't want to completely abandon the business perspective I'd been developing. So I chose a unique Master of Science in Data that combined both worlds: a joint program between a Paris business school and EFREI, an engineering school.

This dual approach turned out to be invaluable. I could speak the language of both business stakeholders and technical teams, a skill that would prove crucial in my career.

Landing my first real data role: Hermès

While pursuing my Master's, I needed a student work-study, and I landed a junior data analyst position at Hermès.

What got me hired: during the interview, I didn't just talk about my skills in abstract terms. I talked to them about concrete projects I had built during my web analyst role. I explained all the automated dashboards I had created, the reporting systems I had implemented, and demonstrated how I had solved real business problems with data. The recruiter loved seeing tangible results rather than just hearing about theoretical knowledge.

I worked at Hermès throughout my entire Master's program, and this experience became the foundation of everything that followed.

Going freelance: the real journey begins

After completing my Master's and my contract with Hermès, I made a bold decision: I would go freelance. This choice allowed me to work with different companies and increase my earning potential.

I started by continuing to work with Hermès, then moved on to new clients. Within a short time, I had worked for:

• Hermès
• Rimowa (LVMH Group)
• Publicis Group
• Cercle Music
• Rexel

When I started freelancing, I charged $400 per day. Today, I earn $750 per day. But here's the secret: it wasn't just about time or experience, it was about showcasing the right projects at the right time.

The pattern that changed everything

Looking back, there's a clear pattern to how I landed each new client. Every single time, success came down to one thing: showing recruiters that I had already done projects nearly identical to what they needed.

Let me break down the specific skills and projects that opened each door.

From web analyst to Hermès

The automated dashboards and reporting systems I built at the insurance company were the key. I could demonstrate not just that I understood web analytics, but that I could build systems that saved time and provided consistent, reliable insights.

From Hermès to Rimowa

At Hermès, I had built extensive e-commerce dashboards and mastered e-commerce data preparation. When I interviewed with Rimowa's e-commerce director, I showed her exactly how I could implement the same systems in her organization, which was smaller than Hermès but needed the same level of sophistication.

I presented examples of:

• Customer acquisition dashboards
• Product performance dashboards
• Product launch tracking dashboards
• Automated reporting for e-commerce KPIs

She could immediately see how my experience would translate to her needs.

From Rimowa to Rexel

Rexel was particularly interested in my SQL expertise, specifically with BigQuery. At Hermès, I had run countless BigQuery queries and, importantly, I had learned how to optimize them to reduce costs, a critical concern for any company dealing with large datasets.

During the interview, I walked through specific examples of how I had reduced query costs and improved performance. This wasn't theoretical knowledge. I had the receipts.

Landing Publicis Group

For Publicis, the dashboard skills were less important. What got me hired was my experience conducting ad-hoc analyses for directors and executives.

At Hermès, Rexel and Rimowa, I had regularly received requests from leadership for specific insights: "Can you analyze this trend?" "What's driving this change in customer behavior?" "How do these product lines compare?"

I had built a portfolio of these analytical deep-dives, and I could show Publicis exactly how I approached complex business questions, structured my analysis, and presented findings to senior stakeholders.

The real secret: project-based proof

Here's what I learned through this journey: hiring managers don't want to hear about what you can do; they want to see what you've already done.

Every time I moved to a new client or negotiated a higher rate, I succeeded because I could show:

1. Concrete projects that closely matched their needs
2. Real dashboards I had built and deployed
3. Actual results from my data work
4. Specific technical skills applied to solve business problems

This is completely different from saying "I know SQL" or "I can build dashboards." Instead, it's: "Here's a dashboard I built that tracks exactly the metrics you mentioned. Here's how I structured the data pipeline. Here's how I optimized the queries. And here's the business impact it had."

Key takeaways for aspiring data analysts

If you're looking to break into data analytics or increase your rates as a freelancer, here's my advice:

1. Build real projects, even if they're small. That part-time web analyst role was the foundation of everything. Don't wait for the perfect job, use D8A Academy to build a portfolio of real projects in SQL, Python, dashboards, and more. Each project is automatically validated and added to your live portfolio, so you make tangible progress instead of just watching tutorials.

2. Match your projects to your target roles. Before interviewing, understand what the company needs, then prepare to show them projects that prove you've already solved similar problems.

3. Master the fundamentals deeply. SQL, dashboard design, data visualization, and business communication are more valuable than knowing every tool and technology. I built my entire career on these core skills.

4. Don't be afraid to pivot. Starting in business school and transitioning to data analytics might seem unconventional, but that business perspective has been one of my biggest advantages. I understand what stakeholders need because I've been trained to think like them.

5. Going freelance isn't just about rates. Yes, I earn more now, but freelancing also let me build a diverse portfolio faster. Each new client meant new challenges, new industries, and new projects to showcase.

6. Pick a direction and commit. The people who break in fastest don't dabble across ten tools, they choose one path and go deep. If you're not sure which one fits your background, the D8A quiz will point you to the right starting path in two minutes.

The bottom line

The journey from business school student to $750/day data analyst wasn't about following a perfect path. It was about recognizing an opportunity when it appeared (that marketing internship), committing fully to learning the craft, and systematically building a portfolio of real, impressive projects that I could show to anyone who asked, "Why should we hire you?"

The data analytics field is hungry for people who can bridge the gap between technical skills and business understanding. If you can do the analysis and explain why it matters to the business, you'll always be in demand.

And remember: every project you complete today is proof of what you can deliver tomorrow. Make them count.