The latest installment in our Q&A series with women in data features Andrea Barber, a healthcare and data analyst professional. (Read our previous Q&A here.)
Andrea Barber discovered her love for data and analytics while working in the healthcare industry. In addition to her current role as a medication management coordinator with the National Health Corps, she serves as the co-director of technology for the Pittsburgh chapter of the nonprofit GetWITit, where she has helped advance initiatives empowering women in the technology field. Andrea recently launched Coding in Confidence, a YouTube channel and community aimed at helping women – especially those new to tech or analytics – build confidence with Python. “The goal is to break down technical concepts into digestible, beginner-friendly lessons while creating a supportive space,” she explains. Andrea holds a B.S. in business intelligence and analytics from DeVry University, as well as certifications in Python and data analysis. You can follow her on LinkedIn.
What inspired you to choose a career in data?
I started in a career path that paid well, but I realized the future of impact and opportunity was in technology, so I shifted my major to data analytics and science. My experience in healthcare showed me how data can uncover disparities and drive change, and as a future data scientist, I’m passionate about ensuring all communities are included in the technological wave transforming healthcare.
Who is your favorite female role model?
Dr. Joy Buolamwini has been a huge inspiration to me. Her work in exposing bias in AI motivates me to stay passionate about using data ethically and equitably. Seeing her persistence reminds me to keep going, even when the path is challenging
What has been the biggest challenge in your career so far?
My biggest challenge was navigating that in-between stage of having the skills and certifications but not yet the professional title. Instead of getting discouraged, I focused on building real projects, volunteering in data-focused roles, and continuing to learn, turning what could have been a setback into a foundation of experience.
Best advice you’d give to other women aspiring to work in data?
Treat data like a language, learn to speak it little by little, and soon it will tell powerful stories that only you can bring to life. Your unique perspective isn’t a weakness, it’s your superpower, the lens that reveals insights others might miss. Trust your voice, stay curious, and remember the world needs the stories only you can tell through data.
Where do you see the future of women in data?
Women in data are shaping the future by combining technology and creativity to drive real impact. I see us leading with curiosity and innovation, especially in areas like healthcare and equity.
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