Data Tech 2026

Data and analytics professionals are often promoted and praised for their technical skills. Yet many stall not because they lack capability, but because they struggle to communicate, influence, prioritize, or collaborate effectively. As AI continues to automate coding and technical execution, these human skills matter more than ever.

In this session, we’ll explore the practical interpersonal and problem‑solving behaviors that help data professionals be more effective in their day‑to‑day work. Using a familiar but modernized framework inspired by The 7 Habits of Highly Effective People, this talk translates timeless principles into concrete actions for analytics roles - running better meetings, framing problems clearly, partnering with stakeholders, and working productively with AI tools. Attendees will leave with actionable habits they can apply immediately to increase their impact, effectiveness, and long‑term relevance in a rapidly changing field.

In today’s AI-driven and increasingly competitive job market, networking has evolved from a “nice to have” into a critical career skill. As applying becomes easier and more automated, standing out becomes harder. This can push more opportunities into the hidden market where relationships matter most. This session explores how to build a high-signal network that creates real opportunities, whether you’re actively job searching or looking to grow in your current role.

We’ll cover practical strategies for expanding your network both online and in person, with a focus on authentic, non-transactional relationships. You’ll learn how to turn conversations into opportunities, build a personal brand that attracts the right people, and create a simple system for consistent follow-up. Drawing from real-world experience growing communities like the Twin Cities Data Science & Analytics (TCDSA) network and Innovation Studio, this session delivers actionable frameworks to help you build a network that compounds over time and supports long-term career growth.