u/Otherwise-Fun2014

Hey everyone,

I’ve been working in the Business Intelligence space for about 12 years. Throughout my career, I’ve built a solid foundation around:

Data Viz & Reporting: Advanced Tableau dashboarding, storytelling, and UI design for enterprise stakeholders.

Database & Querying: Mid-level SQL and relational database design/concepts.

Leadership: Team management, leading small-to-mid reporting teams, and bridging the gap between business stakeholders and technical teams.

With the current AI wave — generative AI, automated insights, NLQ (Natural Language Querying), LLM integrations, and modern semantic layers (dbt, Cube, Databricks Genie, etc.) — standard dashboard development feels like it's shifting fast.

While I know stakeholder management, business context, and governance aren't going away, I want to make sure my hard skills stay future-proof for the next 5–10 years.

My questions for you:

For those in senior BI / Analytics roles (10+ YoE), what skills or tools have given you the highest ROI recently?

Are you moving upstream into Data Engineering, leaning into AI/LLM tooling, or leaning further into leadership/management?

If you were in my shoes today, where would you invest 5–10 hours a week for the next 6 months?

Appreciate any perspective, brutal honesty, or personal career shift stories!

TL;DR: 12 YoE BI lead (Tableau heavy, mid-SQL, team manager) looking to reskill in the AI era.

Should I go deeper into Data Engineering (dbt/Python), AI/LLM analytics integration, Data Governance,

or double down on Data Leadership/Product Management? Looking for advice on where to focus.

Hey everyone,

I’ve been working in the Business Intelligence space for about 12 years. Throughout my career, I’ve built a solid foundation around:

Data Viz & Reporting: Advanced Tableau dashboarding, storytelling, and UI design for enterprise stakeholders.

Database & Querying: Mid-level SQL and relational database design/concepts.

Leadership: Team management, leading small-to-mid reporting teams, and bridging the gap between business stakeholders and technical teams.

With the current AI wave — generative AI, automated insights, NLQ (Natural Language Querying), LLM integrations, and modern semantic layers (dbt, Cube, Databricks Genie, etc.) — standard dashboard development feels like it's shifting fast.

While I know stakeholder management, business context, and governance aren't going away, I want to make sure my hard skills stay future-proof for the next 5–10 years.

My questions for you:

For those in senior BI / Analytics roles (10+ YoE), what skills or tools have given you the highest ROI recently?

Are you moving upstream into Data Engineering, leaning into AI/LLM tooling, or leaning further into leadership/management?

If you were in my shoes today, where would you invest 5–10 hours a week for the next 6 months?

Appreciate any perspective, brutal honesty, or personal career shift stories!

TL;DR: 12 YoE BI lead (Tableau heavy, mid-SQL, team manager) looking to reskill in the AI era.

Should I go deeper into Data Engineering (dbt/Python), AI/LLM analytics integration, Data Governance,

or double down on Data Leadership/Product Management? Looking for advice on where to focus.

I've observed numerous businesses selling products that originate from designs available on platforms like MakerWorld.

These products require commercial licenses.

These sellers are not the original creators, yet they openly market and sell these items, as if they created it.

Can someone clarify the operational framework that permits this practice?