Leveraging AI as Your Silent Mentor: My Journey as a Junior Data Analyst

As I settled into my remote job as a data analyst several months ago, I discovered that the journey can often be overwhelming. Just when I thought I was getting the hang of it, I realized I needed some assistance to truly thrive in my role. Enter GPT—my unassuming yet invaluable coworker.

Initially, I turned to GPT for the basics, such as resolving my SQL queries and debugging errors in my pandas code. However, the real breakthrough came when I utilized it to decode the often cryptic language of the business world.

For instance, when my manager discussed the need to “deep dive into user engagement metrics to optimize our conversion funnel,” I found myself grappling with a jumble of jargon. I would copy and paste the emails into GPT, seeking clarity on what was actually being asked of me. This tool swiftly demystified the lingo, allowing me to focus on actionable tasks rather than getting lost in translation.

Interestingly, I also created a custom GPT model to assist with crafting resumes and CVs, a tool initially designed for job applications. Now, it plays a pivotal role in my weekly progress reports, transforming ordinary statements like “I made some charts” into power-packed summaries such as “Developed comprehensive data visualizations to identify key performance indicators and actionable insights.” It’s incredible how a rewrite can enhance perception!

To further bolster my professional development, I integrated an AI interview assistant named Beyz into my routine. This tool has become an excellent resource for preparing for performance reviews and team discussions. I stumbled upon an online interview question bank that allows me to practice articulating technical concepts, making it easier to convey ideas to stakeholders and clients.

Here’s a quick glimpse into my revamped workflow:
1. GPT helps structure SQL queries – I fine-tune the output until it works just right.
2. Interpreting results – With GPT’s assistance, I delve into what the data truly signifies.
3. Data visualization – I use Excel and Python to create insightful charts.
4. Writing implications – GPT aids in articulating the “business implications” of my findings.

Is this a form of cheating? Perhaps some may think so, but I believe it accelerates my learning curve immensely compared to tackling challenges alone. Plus, the practice I gain from the interview question bank equips me to confidently address data concepts during client calls.

I’m curious—are