Breaking into Data Science: What is the best way to switch into a tech career from finance?

All answers to this question.

Since you already have a foundation in finance, you are ahead of the curve in terms of analytical thinking. The best path forward is mastering SQL and Python, as these are the industry standards for workflows. Power BI is excellent for visualization, but Python allows you to build the predictive models that define modern data roles. Try to recreate one of your old finance projects using a Jupyter Notebook to show employers you can apply new tools to familiar problems. This practical application is often more impressive than a generic certificate.

   Answered 2025-04-20 by Cynthia Bennett

Python is great, but have you looked into specialized libraries like Pandas or Scikit-learn for your specific financial models? Using to automate your current manual reports could be a great portfolio piece

   Answered 2025-04-25 by Scott Henderson

• Scott, those libraries are essentially the "bread and butter" for anyone moving from Excel. Transitioning those spreadsheets into automated Python scripts proves you understand the efficiency gains of the tech world. It shows a hiring manager that you aren't just learning syntax, but you are actually solving business problems with code, which is exactly what they want to see in a candidate.

     Commented 2025-04-30 by Lawrence Fisher

Start with SQL. It’s the language of data. Once you can query databases, moving into becomes much less intimidating and opens up immediate Analyst roles.

   Answered 2025-05-02 by Martha Sullivan

• SQL is definitely the right starting point. Most people jump to AI, but without data retrieval skills, you can't actually do the work. Great advice for a finance pro.

     Commented 2025-05-05 by Cynthia Bennett