When developing your recruitment strategy, how do you determine the essential profiles required for your data analytics team? Do you have a bottom-line list of must-have roles for any data analytics team?

Start with your business goals:

What problems are you solving-reporting, predictive analytics, or advanced AI?
Then, check your current team’s skills and fill the gaps.

Must-Have Roles for Any Data Analytics Team
Data Engineer – Makes sure data flows smoothly and is clean.
Data Analyst – Turns data into clear insights and dashboards.
Data Scientist – Builds models and digs deeper for patterns.
Business Analyst / Translator – Connects business needs with technical solutions.
Data Governance Specialist – Keeps data accurate and compliant.
Analytics Lead – Guides strategy and priorities.

Nice-to-have (if budget allows): Visualization expert, ML engineer, cloud architect.

Along with all technical skills which you can add based on the tooling, I recommend to add ‘curiousty’ and ‘eagerness to learn’ as two must have skills in the candidates.