From Contract to Full-Time Data Roles

How to Ask Thoughtful Questions

👋 Hey there !!

Welcome to Career Compass! In this week’s newsletter, I’ll cover:

🎯 How you can Transition from Contract to Full-Time Roles

🎯 Breaking Software Barriers

🎯 How to Ask Thoughtful Questions

Let’s get started!

Table of Contents

Read time: 5 minutes

🎯 From Contract to Full-Time Data Roles

The leap from contract to full-time positions can sometimes feel like crossing the Nile River on foot. Yet, it’s a transition to consider for the promise of stability, benefits, and growth opportunities.

Prepare to change. Change to prepare

🧑‍💼 How can we address it?

When applying for full-time jobs, you can showcase multiple skills developed in contract roles by organizing and presenting them in an impactful way.

Below are three things you can do to explore this:

📃 Document Methodically: Keep a detailed record of your contributions in contract roles, quantifying your impact on projects whenever possible (using the STAR method).

🤝 Network Intentionally: Focus on connections that help you navigate full-time roles and find what they have in common.

💻 Skill Up Strategically: Volunteer for projects or roles outside your current skill set. This can provide tangible examples of your adaptability and desire to learn.

But, sometimes, it's all about how you present yourself.
You're lucky because I made a video on how you can do that. Check it out:

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For more insights, check out LinkedIn Study on transitioning from contract to full-time roles.

🎯 Crush Limitations when using Data Analysis Tools

Every data professional knows the pain of hitting the wall of software limitation. Whether it’s processing power, or simply the lack of an important feature, it can feel like your creativity is being hindered.

Community Debugging

⁉️ How can we address it?

Leverage Open Source

When tools fall short, the open-source community rises to the challenge. So, take advantage of others' struggles and victories to achieve success. This may seem unusual, but it solves your and probably someone else's problem.

Try this:

🛜 Explore Open Source: Explore GitHub for projects that address your specific software frustrations.

🆙 Collaborate and Contribute: Join or start a project that improves or extends the capabilities of existing data analysis tools. Challenge yourself.

🗣️ Share Your Solutions: Through posts on social media, participation in forums, or meet-ups, sharing your workaround can establish you as a thought leader.

The key is approaching these challenges with a growth mindset and creative solutions.

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Read this article in OpenSource to explore it’s capabilities.

🎯 Ask beyond the Obvious

Do you know when they say that there are no stupid questions?
This may be an unpopular opinion, but I believe there are silly questions you shouldn't be asking.

Don’t dump this

In a world overflowing with information, you're no longer viewed as knowledgeable by the answers you provide but by the questions you ask.

 💭 How can we address this?

Here's how you can approach this mindset:

📃 Research First: This will show that you're knowledgable, curious, and eager to learn more instead of asking anything foolish.

🛜 Ask ChatGPT or Google: In today's world, not using these tools to find common ground between what you know and your knowledge gap is just not taking full advantage of what technology offers.

💻 Search for related topics: Instead of asking the first question that comes to mind, write it down and Research related topics. This often leads to discovering the answer on your own or formulating a more complex question that provides deeper insights. Always start from general to particular, from simple to complex.

If you want to learn more about a Data Analyst's thought process, feel free to book a mentorship session with me!

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Check out this article from SpringerOpen for more information on inquiry-based learning.

👋 That’s it! Thank you!

See you next week.

Mo Chen

👋 Hey, can I ask just one more thing?

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