From Grad to Great: How to Boost Productivity and Advance Your Data Career

Ah, graduation season!

I also remember this time of the year when I graduated. That magical time when freshly minted degrees are clutched in hand, and the world of data awaits with open arms... or so it seems. If you're a new or mid-career data professional, the journey ahead is both exciting and a bit overwhelming. But fear not! Whether you’re just starting or looking to level up, here’s how to supercharge your productivity and advance your career—while keeping your sense of humor intact.

1. The First Job: It’s Like Dating—Don’t Expect Perfection Right Away

Let’s be real. Landing your first job in the data world is like finding your first apartment—maybe it’s not the penthouse suite, but it’s a start! Megan Brown, the data genius at Starbucks, suggests that securing that first gig can be tough and requires patience. So, don’t get discouraged if the offers aren’t pouring in immediately. Instead, focus on gaining experience wherever you can, even if it’s not the dream role. Think of it as building your resume one block at a time—each job is a stepping stone.

2. Networking: Your Secret Weapon (No, It’s Not Just for Extroverts)

Megan stresses the power of personal networks. It’s not just about what you know, but who you know. But don’t panic—networking isn’t about schmoozing at awkward cocktail parties. It’s about connecting with people who are already in the trenches. Reach out to friends in the industry, ask for referrals, and don’t be shy about it.

"Use your network, you have friends in roles a year or two ahead of you, ask for referrals."— Megan Brown, Director of Global CoE for Advanced Analytics and Data Science at Starbucks

3. Start Small, Think Big: Every Job is a Learning Opportunity

Sure, working at a startup or a small company may not sound as glamorous as joining a tech giant, but here’s the kicker: you’ll learn a lot. Megan advises that any role with substantial data experience is valuable, even if it’s not at a marquee company. Think of it as the “training montage” of your career—a place where you can hone your skills and build a solid foundation.

4. Storytelling: The Most Underrated Skill in Data

Data professionals are often seen as numbers people, but here’s a pro tip: learn to tell a good story. The importance of articulating your experiences and unique strengths effectively. Whether it’s in an interview or a presentation, the ability to weave a narrative around your data, sets you apart. Remember, people don’t just want numbers—they want to understand what those numbers mean.

5. Break Out of the Box: Non-Linear Career Paths Are the New Trend

Careers in data (and life, for that matter) aren’t always linear. I would encourage thinking creatively about career progression. If the next obvious step isn’t available, look for lateral moves or even roles outside of your immediate field. Sometimes, stepping into a business role or exploring a different aspect of data can give you fresh insights and make you a more well-rounded professional.

6. Flexibility: Your Best Friend in a Rapidly Changing World

The data field is evolving faster than you can say “ChatGPT.” Being flexible and open to change—whether that means learning new tools, adapting to new roles, or even rethinking your career trajectory. In the end, the ability to adapt is what will keep you ahead of the curve.

8. Stay Humble, Stay Hungry

Stay humble and stay hungry. Whether you’re just starting out or you’re looking to move up, the key to long-term success in the data world is continuous learning.

Final Thoughts

So, whether you’re fresh out of school or you’ve been around the block a few times, remember this: the data world is your oyster, but it’s also a world that rewards patience, persistence, and a good sense of humor. It will be difficult especially coming out of uni, but from my experience, this is a long game and it's all about being patient and continuing to work on those points mentioned above.

Now, go forth and conquer, data warrior! The future is full of bytes, and they’re yours for the taking.