#326 Is the Data Analyst Role Dying Out? with Mo Chen, Data & Analytics Manager at NatWest Group

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Oct 13, 2025

Mo Chen, Data & Analytics Manager at NatWest Group, discusses the evolving role of data analysts amidst AI advancements. He emphasizes that while AI can automate coding and tasks, human insight into complex business issues remains irreplaceable. Mo details essential skills for today’s data professionals, like domain expertise and effective communication. He highlights the importance of using AI as a tool, not a threat, and shares tips for building impactful data portfolios, navigating the hiring landscape, and leveraging soft skills in the workplace.

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INSIGHT

Role Evolves, Not Disappears

The data analyst role isn't dying but the required skills are shifting due to generative AI.
Learn foundations deeply and use AI to produce better, more complex work quickly.

ADVICE

Use AI For Debugging And Repetition

Use AI for sequential debugging, code fixes, and repetitive coding tasks to save time.
Prompt precisely and combine AI workflows rather than expecting end-to-end solutions without oversight.

INSIGHT

Simplicity Beats Fancy Visuals

BI visualization tools still need human judgment because dashboards must tell a clear story.
Keep visuals simple: most business needs are bar and line charts for clarity and impact.

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The role of data analysts is evolving, not disappearing. With generative AI transforming the industry, many wonder if their analytical skills will soon become obsolete. But how is the relationship between human expertise and AI tools really changing? While AI excels at coding, debugging, and automating repetitive tasks, it struggles with understanding complex business problems and domain-specific challenges. What skills should today's data professionals focus on to remain relevant? How can you leverage AI as a partner rather than viewing it as a replacement? The balance between technical expertise and business acumen has never been more critical in navigating this changing landscape.

Mo Chen is a Data & Analytics Manager with over seven years of experience in financial and banking data. Currently at NatWest Group, Mo leads initiatives that enhance data management, automate reporting, and improve decision-making across the organization. After earning an MSc in Finance & Economics from the University of St Andrews, Mo launched a career in risk and credit portfolio management before transitioning into analytics. Blending economics, finance, and data engineering, Mo is skilled at turning large-scale financial data into actionable insight that supports efficiency and strategic planning. Beyond corporate life, Mo has become a passionate educator and community-builder. On YouTube, Mo hosts a fast-growing channel (185K+ subscribers, with millions of views) where he breaks down complex analytics concepts into bite-sized, actionable lessons.

In the episode, Richie and Mo explore the evolving role of data analysts, the impact of AI on coding and debugging, the importance of domain knowledge for career switchers, effective communication strategies in data analysis, and much more.

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