Face to Face with Gen Z

Mentoring the Next Generation of Data Analysts: Insights from the HR Conclave at Atlas University

Recently, I had the privilege of mentoring students at the HR Conclave held at Atlas University, alongside my co-panelist, Debabrata Pattanayak. Our engaging two-hour session focused on equipping aspiring data analytics professionals with the skills needed to thrive in this dynamic field.

We began by discussing the role of AI and data science not just as technological tools but as collaborative partners in solving complex problems and predicting future trends. I shared examples of how logical thinking in recruitment processes can enhance decision-making and emphasized the importance of understanding the underlying logic behind tools and code, rather than just acquiring new technology.

Our discussion also covered the essential characteristics for success in analytics: logical thinking, a positive attitude, and a keen aptitude for continuous learning. We highlighted critical technical skills, particularly mastery of Excel and effective data visualization, as these are crucial for presenting data clearly and impactfully.

When the students asked how to stand out during job interviews, we offered advice on creating a compelling LinkedIn profile that showcases their skills, projects, and contributions to the analytics community. We encouraged them to engage actively on platforms like Kaggle and GitHub to practice their skills and tackle real-world challenges.

We also delved into how organizations measure employee performance using the 9 Box theory. This method evaluates individuals based on performance and potential, categorizing them into nine distinct boxes to assess their growth and development.

The Conclave proved to be an excellent platform for students to learn about the latest trends and essential skills in data and business analytics. I was particularly impressed by their eagerness to learn, adaptability, and commitment to continuous improvement. Their curiosity and willingness to dive deep into learning, without seeking shortcuts, left me optimistic about the future of this field.

Kudos to the students for their enthusiasm and dedication. The future of analytics looks bright with such motivated and skilled individuals entering the field!

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