What I Am Doing to Stay Relevant as a Senior Analytics Co...

What’s Happening

So basically Learn how to work with AI, while strengthening your unique human skills that technology cannot replace The post What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026 appeared first on Towards Data Science.

2026 feels like a turning point for analytics. Generative AI is no longer a side experiment or productivity hack. (and honestly, same)

With increased access to generative AI tools like ChatGPT, Copilot, and AI-native features embedded across the analytics tools and platforms in our day-to-day lives, the work we do with data is structurally changing.

The Details

AI in the work of data professionals is used not only to increase efficiency and solve problems faster; data professionals are collaborating with these systems that can reason, explore, and act autonomously. And this is the shift where agentic analytics enters the picture.

An AI agent is now the first analyst and the data professional these days defers to a prompt and expects the AI agent to: Proactively explore data and detect patterns, risks, or anomalies Run follow-up analyses on its own Recommend or make decisions with minimal human intervention The real shift, but, isn’t just technical — it’s a mindset change. Data professionals are no longer valued solely for writing queries or building models, but for knowing where and how best to use the intelligence and how to close the gap between insight and action .

Why This Matters

What makes these times especially interesting is that many non-technical professionals have always had strong analytical instincts but they were not the most well-versed with querying data, writing code, and operationalizing analysis. With the abilities agentic systems offer, those barriers are beginning to be removed. Data Roles Are Expanding A data scientist or data analyst role is becoming full-stack.

The AI space continues to evolve at a wild pace, with developments like this becoming more common.