What Superpowers Do I Need to Be a Great Data Professional?
summary
Describes how data teams need complementary personalities mapped to concrete roles to scale from a small analytics project to a large LATAM Big Data organization (growth example: 5 to 100 in 18 months). Defines four operational missions—manage, trust, insight, value—and links them to specific skills (resilient data engineering, cross‑team governance, creative insight generation, business value realization), and mentions practical tools and methods such as Big Data pipelines, Power BI, Python, Random Forest and XGBoost while advising to hire for the actual "superpower" each role will use.
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chapters (9)
- 0:00Introduction
- 3:21Personal experience
- 8:59Four key superpowers
- 11:29Data Management team
- 12:55Data Governance team
- 14:03Insight Generation team
- 16:56Value Realization team
- 22:00Find your superpower
- 27:23Q&A
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