#315 DataFramed x Alter Everything: Future-Proofing Your Career in AI and Data Analytics | Richie & Megan Bowers

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Aug 13, 2025

Megan Bowers, Senior Content Manager at Alteryx and host of the Alter Everything podcast, shares insights on the evolving relationship between AI and data professionals. She discusses how AI is reshaping necessary skills, questioning the relevance of coding in an era of no-code tools. Megan emphasizes the importance of clean data for effective AI, the shift towards practical learning, and the need for ongoing education. She also provides strategies for career advancement, highlighting the blend of technical and soft skills vital for success in the changing landscape.

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INSIGHT

Low-Code Shifts Skill Emphasis

Low-code tools let business users pick up analytics without deep coding backgrounds.
Data roles are shifting from heavy syntax to concept, troubleshooting, and model advising.

ADVICE

Prioritize Reading And Debugging Code

Learn to read and debug AI-generated code rather than memorizing every syntax detail.
Focus on core concepts so you can validate and troubleshoot code produced by models.

ANECDOTE

Sales Agent Automates Post-Call Notes

Richie described an internal agent that summarizes sales call transcripts and uploads structured deal info.
The agent automates a hated task and performs better than disengaged humans.

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The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundamentally changing. Is coding knowledge still essential when AI can generate code for you? How important is domain expertise when automated tools can handle technical tasks? With data engineering and analytics engineering gaining prominence, the focus is shifting toward ensuring data quality and building reliable pipelines. But where does the human fit in this increasingly automated landscape, and how can you position yourself to thrive amid these transformations?

Megan Bowers is Senior Content Manager, Digital Customer Success at Alteryx, where she develops resources for the Maveryx Community. She writes technical blogs and hosts the Alter Everything podcast, spotlighting best practices from data professionals across the industry.

Before joining Alteryx, Megan worked as a data analyst at Stanley Black & Decker, where she led ETL and dashboarding projects and trained teams on Alteryx and Power BI. Her transition into data began after earning a degree in Industrial Engineering and completing a data science bootcamp. Today, she focuses on creating accessible, high-impact content that helps data practitioners grow. Her favorite topics include switching career paths after college, building a professional brand on LinkedIn, writing technical blogs people actually want to read, and best practices in Alteryx, data visualization, and data storytelling.

Presented by Alteryx, Alter Everything serves as a podcast dedicated to the culture of data science and analytics, showcasing insights from industry specialists. Covering a range of subjects from the use of machine learning to various analytics career trajectories, and all that lies between, Alter Everything stands as a celebration of the critical role of data literacy in a data-driven world.

In the episode, Richie and Megan explore the impact of AI on job functions, the rise of AI agents in business, and the importance of domain knowledge and process analytics in data roles. They also discuss strategies for staying updated in the fast-paced world of AI and data science, and much more.

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