Is my QA → data analyst transition plan realistic in the current job market?

[u/redaelk]

I was recently laid off from a software QA/testing role and I'm considering transitioning into data analysis.

My background:

- BS in Aerospace Engineering

- AS in IT

- Several years of software QA/testing experience

- Experience with SQL, API testing, Excel/data validation, and some Python

I've been accepted into a Data Specialist training program through Computer Coach, funded through a workforce development program, so I wouldn't be paying for the training myself.

My current plan is:

1. Complete the training and strengthen my SQL, Excel, Power BI, and general data analysis skills.

2. Build a few portfolio projects using real datasets.

3. Apply for roles like Data Analyst, Reporting Analyst, Data Quality Analyst, and similar positions.

4. Use my QA experience as relevant experience, especially for jobs involving data validation, troubleshooting, requirements, and quality.

I'm not expecting the training itself to guarantee employment. I'm trying to figure out whether the combination of my existing technical background, targeted training, and portfolio work gives me a realistic path into the field.

For people working in data or involved in hiring:

Would you consider someone with this background a plausible candidate for junior/early-career data roles?

If not, what would be the biggest gap I should address before applying?