How to Start Your Personal Brand

Plus: Data Analyst Habits

👋 Hey there !!

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

  1. HOW TO START YOUR PERSONAL BRAND

  2. DEBUGGING COMPLEXITY

  3. DATA ANALYST HABITS

Table of Contents

Let’s get started!
Read time: 5 minutes

DATA CAREER ADVICE
HOW TO START YOUR PERSONAL BRAND

Set yourself on the right path

Building trust and authenticity in data analytics is challenging because it requires consistency. Delivering quality work over time is a habit that you must develop as soon as you start thinking about Data Analysis.

Why is this Important to You❓

Your Personal Brand is like a tattoo you never asked for; it is stuck right on your forehead. You can either be proud of it or be embarrassed by it. I’m here to help you do the former and show you how you can own your personal brand.

How can You address this❓

This is only Ground Zero.
Building knowledge on a topic starts with a plan and that starts with context. I’ve created this document to help you explore Context Awareness ⬇️

  1. Reputation → What are your skills, experiences and passions?

  2. Expertise → What do you consider to be above average compared to other people? (e.g., Technical Skills, Soft Skills, Domain Knowledge)

  3. Network → How can you find opportunities?

  4. Landscape → What do you see yourself doing on a daily basis?

Don’t worry if you don’t know where or how to start. I asked a mentee for his own Context Awareness file and he gladly shared it with all of you.

Expect more tips as we evolve in building your Personal Brand. After all, you can’t get any better Career Advice than this.

⚠️ CTA

I'm working on a completely new approach to tackle job applications in the data analytics world, something that will have an immediate impact on your professional growth and advancement. If you want to know more, fill out this survey by clicking the link below ⬇️

If you have more inquiries about the Ultimate Project Builder, feel free to reply to this e-mail.

DATA SKILLS TIPS
DEBUGGING COMPLEXITY

How to reach non-technical audiences

Do you struggle communicating your findings to non-technical people?

Why is this Important to You❓

To make an impact at large organizations, you’ll need to be great at StakeHolder Management through clear and concise communication. It’s all about Soft Skills → your ability to influence and tell a compelling story.

The truth is, at the top, senior Stakeholder level, no one will care about your coding skills.

How can You address this❓

Being able to explain your insights to various audiences, especially non-technical ones, requires you to rely on some key aspects ⬇️

  1. The Big Idea → Objective, Result, Recommendation.

  2. The 3-Minute Story → Speaks for itself. Follow Parkinson’s Law (Less time → Less complexity). More on that in this post.

  3. Breaking it down → Instead of only showing the final view, show how you got there by breaking it into pieces and also allow your visuals to speak for themselves.

  4. Real world examples and analogies → If you know your audience, using analogies with topics they care about will help them understand the data as being relatable to what they already know.

If you want to see me exploring this and other ideas, feel free to check out this video ⬇️

⚠️ CTA

Take a dashboard that you’ve built and focus on one chart. Break it in a way that the visual could speak for itself. This might mean that you need to replicate the same visual multiple times and play with preattentive attributes.

How did Career Compass help you? You can reply to this e-mail to give me your feedback!

MO’S PERSONAL INSIGHTS
DATA ANALYST HABITS

Apply them and you’ll see progress

Starting is not the difficult part. Most people get excited with Data Analysis and they may even design a plan to succeed.

Then comes the tricky part. They stick with it for maybe two weeks until something outside of their control happens, and they give up, only to repeat this cycle, always beginning on Mondays. But you will be different.

Why is this Important to You❓

Becoming a great Data Analyst has more to do with consistency than talent, so it’s important to develop the right habits to advance your career.

How can You address this❓

These are some of the Habits I personally apply that may help you ⬇️

  1. Document Your Work → Building SOP’S and How To’s is key to consistency and accuracy.

  2. Build a Personal Repo → Take a note of the very difficult codes, functions or techniques you came across, so that the next time you need to use them again, you know exactly where to look.

  3. Listen →. Asking the right people with purpose is really important. Paying full attention to their answers can be life-changing.

  4. Learn constantly → Stay up to date on the 4 T’S (Technologies, Techniques, Tools, Trends).

⚠️ CTA

I explore the points above in greater detail in this video. Just click on the link below ⬇️

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CAREER COMPASS

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That’s it!
See you next week 👋

Mo Chen

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