Sounds like you just have some learning gaps to fill in and need guidance on how to fill them. Beyond that, I recommend interning or volunteering to gain industry experience and domain expertise (e.g. retail, real estate, healthcare, education, pharma, politics, etc). But first thing's first!
Regarding your skills gaps, you may find these courses helpful on Coursera (I took them myself):
Data Science Math Skills - to review the basics and fill in any foundational gaps
https://www.coursera.org/learn/datasciencemathskills
Executive Data Science - for high level overview of the field and better understanding of types of roles available
https://www.coursera.org/specializations/executive-data-science
You might also check out courses in these specializations (although I have not personally reviewed them):
Advanced Statistics for DS
https://www.coursera.org/specializations/advanced-statistics-data-science
Mathematics for Machine Learning
https://www.coursera.org/specializations/mathematics-machine-learning
Algebra - Elementary to Advanced
https://www.coursera.org/specializations/algebra-elementary-to-advanced
Precalculus thru Data & Modeling
https://www.coursera.org/specializations/precalculus-data-modelling
Differential Calculus thru Data & Modeling
https://www.coursera.org/specializations/differential-calculus-data-modeling
Data Structures and Algorithms
https://www.coursera.org/specializations/data-structures-algorithms
Algorithms
https://www.coursera.org/specializations/algorithms
*Note: specializations are not available to audit on Coursera, but you may audit each course within a specialization at no cost to you. Certificates available for a fee.
**Information only, not advice or advertisement
Hope this helps!