Yo, I'm Matt Mike 👋

(yes, Mike is my actual last name).

My career path has been far from linear. Here are the cliff notes (that's still a thing, right?)

2015: graduated with an English degree
2016: became a teacher
2017: became a dean of students
2019: left education for B2B sales
2019: hated sales. took a pay cut to become an operations analyst
2021: got promoted to operations supervisor

2022 and onward: became a business analyst (FIRST DATA JOB). Started documenting the journey on social media where I now have a combined following of 100,000+ tech professionals. I've been through a few different data roles with progressive complexity and now do BI consulting while continuing to help others progress their tech careers through content.

Because of my background, I have a passion for helping people with non-technical backgrounds break into tech and advance their careers. My technical passion is business intelligence analytics.

🤝🏻 Brands: mjomike@gmail.com
🎥 YouTube: @mattmike
📩 Newsletter: https://thdatapoint.substack.com/

Matt Mike

Not 1, not 2, but 3 hernia’s repaired.

Had surgery the other day. 

Recovery has been brutal but I’m so glad to finally get this done. These hernias have been a major impairment to physical activity and a daily discomfort.

Super grateful to my wife who’s been taking care of me, the kids, and everything else while I hobble around like an old man.

Day 3 of a 6-8 week recovery✌🏻

Business Intelligence Developer 🤘 | BI & Analytics Consultant | YouTube @ Matt Mike | Helping non-tech professionals break into data and make $30k+ more with the Data Career Makers community

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I've applied to 1,000s of jobs in my career.

Most led nowhere.

But the problem wasn't my resume or skills.

The problem was treating job hunting like a numbers game.

(the spray and pray method).

Applying to 50 jobs a week → exhausting.
Applying to 5 targeted opportunities → strategic.

Strategic job hunting = better interviews, faster offers.

Here's how I'd approach the job hunt in 2026 if I had to start over:

1. Build relationships before you need them

Most people wait until they're desperate to start networking. 

They send cold messages, ask strangers for referrals, and wonder why nobody responds.

This is backwards.

Instead I'd spend 30 minutes a day engaging with people in my target companies.

Comment on their posts, share their content, add genuine value.

When you build relationships first, opportunities come to you.

You don't need to beg for referrals when people already know your name.

2. Post content that showcases your work

Resumes can get lost or ignored.

LinkedIn posts are living proof of what you can do.

I'd post 3x a week about projects I'm working on, problems I've solved, tools I'm learning.

Not generic advice. Actual work.

This does two things: 1) it proves you know your stuff and 2) it makes you visible to hiring managers who are scrolling LinkedIn looking for talent.

3. Apply like you mean it

I'd rather spend 20 minutes on one application than 10 minutes on twenty.

For each role I'd research the company, customize my resume to match their exact needs, and write a cover letter that shows the value I bring.

Then I'd find the hiring manager on LinkedIn and send a short message explaining why I'm interested.

Most people won't do this because it takes effort.

But that's why it works.

tl;dr:

1. Network before you need it. 
2. Prove your skills publicly.
3. Apply with intention.

ps - got a vid on this topic publishing soon. check out my channel so you don't miss it: https://lnkd.in/dpMCPTmH

Career growth is not always linear.

I've switched jobs and changed careers more than most.
I've even taken steps back at times.

But every shift always moved me forward in the long run.

To better pay.
To a better role.
To a better field (for me).

You can feel lost when a job no longer feels right.

Or when you're let go.
Or you're burnt out

But sometimes you have to take necessary shifts.

And those shifts aren't bad.
Staying stuck in a bad place is.

So embrace the checkered past.

Or the shifting target.
Or the challenging circumstance

Those steps are necessary.

You're just on your way somewhere better.

Had a great time at our low-key Phoenix, AZ happy hour last night!

Awesome turnout. Got to meet some great people!

It was also my first time meeting in person a few people that I've known from LinkedIn for quite some time now.

Andrew Madson 
Madison Schott 
Monica Kay Royal (won't let me tag you for some reason???)

We're thinking of doing these quarterly. 

If you're in Phoenix and missed this one, hope you can make it to the next one!

___
PS - still recovering from my hernia surgery but I couldn't miss this. Really pushed myself to be there. Couldn't stay long due to the pain, but glad I made it :)

A lot happened for me in 2025.

I've talked about bits and pieces of it here on LinkedIn, but I just posted a full video about it for anyone interested.

I like doing these yearly check-in type videos.

It's just nice to process everything out loud.

https://lnkd.in/g8i8PDAe

PS - thanks to everyone for the well wishes on my recovery from surgery. Today is day 5 and I'm getting a little bit stronger each day :)

Open video: Data Analyst Year In the Life: 2 Moves, Lost My Dream Tech Job, and What I'm Changing in 2026 on youtu.be

Data Analyst Year In the Life: 2 Moves, Lost My Dream Tech Job, and What I'm Changing in 2026

There's a lot of talk about data and AI.

And I hear most from people outside of the data space about what will happen to technical jobs.

So, in this video I share my boots-on-the-ground take on the situation. What I'm seeing, researching, and hearing from my many peers around and above me in the data and AI space.

https://lnkd.in/gdmDtEJb

___
PS - getting back to a regular schedule with uploads. My goal for 2026 is actually to increase volume to 2 uploads per week. We'll see if I can manage that lol

Open video: Will AI Replace Data Analysts in the Next 10 Years? on youtu.be

Will AI Replace Data Analysts in the Next 10 Years?

You don't have to sound like an idiot anymore.



Check out Count here:
https://lnkd.in/gKFDZJgN

#countpartner

Some people call pie charts bad.

It's like the "Is a hotdog a sandwich?" debate of data viz.

But I think it completely depends on the context.

There's nothing wrong with pie charts inherently.

Comparing 2 values against each other is a great use case.

The problem shows up when you have too many values.

Too difficult to interpret quickly. 
Data labels get smushed together.

Can you see the data clearly?

The second they start getting smushed, swap the visual.

(rule of thumb is 4-5 values, but it depends)

Especially when your dashboard is already full of bar and column charts.

So if you're avoiding pie charts because someone told you they're bad:

1. Ask yourself how many values you're showing
2. Consider if variety would help your dashboard
3. Check if the data labels are readable
4. Then decide

Context matters.

Which camp are you in on this?

___
PS - I just started a community for people breaking into data careers. Check it out here (launch pricing still active): https://lnkd.in/gjY7-wyJ

The data job market looks different this year.

More data jobs than ever before, but also more saturated.

As someone who was laid off and on the job hunt again mid-2025, I have some thoughts on how I'd do it all again 2026. Especially if I was starting from scratch.

In this video, I cover those thoughts.

https://lnkd.in/gvPJxsbq

Open video: The EASIEST Way To Become a Data Analyst in 2026 (skills + portfolio + job search) on youtu.be

The EASIEST Way To Become a Data Analyst in 2026 (skills + portfolio + job search)

I just created a FREE tier for my community.

It gives you access to all community chats as well as a few helpful resources.

I don't know how long I'm going to keep a free tier. Might be a week, might be forever. But once you're in, you're in forever, even if I close the free tier later on.

Interested? Check out the Data Career Makers community here:

https://lnkd.in/gHdhtf9v

✌️

ps - the community has only been open for a week. There's lots of great stuff there already, but I have lots of plans for building this out and creating a ton more value.

Curious...

...also, feel free to leave suggestions in the comments if you have a different answer than in the poll :)

___
ps - i got one of these. we're steadily growing! you can check it out here: https://lnkd.in/gjY7-wyJ

What would be MOST important to you in a community dedicated to helping you land a job in data?

The author can see how you vote. Learn more

Developer Advocate & Founder @ ML Data | Data Science & AI Content Creator

I didn't write my first line of code until I was 26. Now I get sponsored by companies like Anthropic, Amazon and IBM to create coding videos as a tech content creator.

My career path has been anything but linear - finance analyst to consultant to data scientist to full-time content creator. At each stop, I felt like I was starting over, but those diverse experiences became my superpower. My finance background taught me business fundamentals, consulting showed me how to solve complex problems, and data science gave me technical skills. 

When I combined all three and took the leap into content creation and developer advocacy, companies started paying attention.

Now I help others navigate their own career transitions by sharing what I've learned across industries and roles.

When I'm not creating content, you'll find me exploring running, playing pickleball or cuddling with my fur babies, Belle and Lola.

I'm always excited to connect with fellow career changers or anyone building something interesting. Feel free to reach out at megan@thedriveagency.co or send me a message here on LinkedIn 👋

Megan Lieu

The 8 projects I’d start today if I wanted to level up my career in 2026:

1. Your Weekly Wins Archive

↳ Every Friday, write down one win from the week. A project you shipped, a skill you learned, a conversation that mattered. By December, you’ll have 52 proof points for your next promotion or job search.

2. LinkedIn Thought Library

↳ Once a week, save one industry insight, lesson learned, or observation about your work. Not polished posts. Just raw notes. By Q4, you’ll have a year’s worth of content ideas and a clear POV in your field.

3. The Monthly Mentor Coffee

↳ Once a month, reach out to someone whose career you admire. Ask one thoughtful question. 12 conversations = a network that actually opens doors and a clearer picture of where you’re headed.

4. The Industry Pulse Tracker

↳ Pick 5 leaders or publications in your field. Spend 15 minutes every Sunday seeing what they’re talking about. By December, you’ll spot trends before your peers and have informed opinions that make you stand out.

5. Build One Thing per Month

↳ January through December, ship something every 30 days. A side project, a new process at work, a presentation, a piece of content. 12 months = 12 tangible proof points that you execute, not just plan.

6. The Cold Outreach Challenge

↳ Send one cold email or DM every week to someone you want to learn from or work with. No asks, just value or genuine curiosity. 52 messages = opportunities you never would’ve had by waiting to be discovered.

6. Publish Your Work Weekly

↳ Every week, share something publicly. A LinkedIn post, a project update, a lesson learned, a portfolio piece. 52 posts = visibility, credibility, and inbound opportunities you can’t get by staying quiet.

8. The Monthly Skill Sprint

↳ Pick one skill gap that’s holding you back. Spend 30 days closing it by taking a course, building a project, practicing daily. 12 months = 12 new capabilities that completely change what you’re qualified for.

♻️ Reshare this and let me know which one you’ll start first 👇

a16z just dropped their list of unicorn startup ideas for 2026. 

The Silicon Valley VC firm just released a list of the biggest ideas their investing teams believe builders need to tackle this year.

So make sure you save this if you’ve been looking for the next unicorn startup idea:
 
 1. AI-native banking & insurance infrastructure
 2. Enterprise multi-agent orchestration platforms
 3. Physical observability platform
 4. Compliance-first AI development tools
 5. ChatGPT-native apps (via OpenAI apps SDK)
 6. Autonomous scientific discovery labs
 7. Multi-modal voice agent platforms
 8. Prompt-free, proactive AI applications
 9. AI-native industrial base companies
10. Reasoning/multimodal/computer-use-enabled companies
11. Industrial data collection & annotation platform
12. Forward-deployed AI consulting
13. AI startup tooling for greenfield companies
14. Voice-first AI operating system
15. AI-powered contingency business models
16. "See Me" consumer AI products
17. Synthetic biology design studio
18. AI-native insurance products
19. AI-powered sales qualification platform
20. Electro-industrial stack components

Which of these ideas are you betting on?
 
Check out the full article from a16z linked in my comments below 👇

Tech Startups by A16z

90% of people are either wasting money on AI tools…

Or missing out on powerful tools that are literally FREE.

Including me — until I finally understood the real difference between Free vs Paid AI Tools.

Here’s what nobody tells you about AI tools:

Paid doesn’t mean better.
It just means better for a specific workflow.

So I’m finally sharing my full Free vs Paid AI Tools Framework (by category) 👇

✅ Writing & Content
↳ Paid: Jasper AI, Writesonic, Copy. ai, Frase, LongShot AI
↳ Free: ChatGPT, Google Gemini, QuillBot, Grammarly, Wordtune

✅ Image & Design
↳ Paid: Midjourney, Adobe Firefly, Leonardo AI, Seedream 4.0, Runway Images
↳ Free: Bing Image Creator, Canva, Stable Diffusion, DALL·E, Nano Banana

✅ Video & Multimedia
↳ Paid: Synthesia, Pika Labs, Runway Video, Descript, Veo 3 Fast
↳ Free: CapCut AI, InVideo, Runway, Synthesia, Pexels AI Video

✅ Coding & Dev
↳ Paid: GitHub Copilot, Cursor AI, Tabnine, Replit Ghostwriter, Codeium Pro
↳ Free: GitHub Copilot, Gemini Code Assist, Codeium, AWS CodeWhisperer, OpenAI Playground

✅ Productivity & Research
↳ Paid: Notion AI, Perplexity Pro, Coda AI, Otter. ai, Evernote AI
↳ Free: Perplexity, Notion, Microsoft Copilot, Obsidian AI Plugins, Google Gemini

✅ SEO & Marketing
↳ Paid: Surfer SEO, Clearscope, MarketMuse, SEMrush AI, Ahrefs AI
↳ Free: Ubersuggest, Google Trends, AnswerThePublic, SEO Minion, Mangools Tools

✅ Audio & Speech
↳ Paid: ElevenLabs, Murf AI, Play. ht, Resemble AI, Descript Audio
↳ Free: Google Text-to-Speech, Mozilla TTS, Audacity AI Plugins, Talkie AI

✅ New & Trending AI Tools
↳ Paid: Claude Pro, Gemini Advanced, Lovable AI, Flux Pro, Runway Advanced
↳ Free: Nano Banana, Lovable. ai , Flux, Captions. ai, Playground AI

I went from randomly subscribing to AI tools…

To building a stack that actually matches my work.

And that’s the truth about AI tools…

Free tools help you start.
Paid tools help you scale.

♻️ Reshare this if it helped and follow me for more AI tools + workflow breakdowns.

taplio

The Battle

Matt Mike

Megan Lieu

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Performance ScoreMatt Mike's LinkedIn Performance

Performance ScoreMegan Lieu's LinkedIn Performance

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taplio

The Battle

Matt Mike

Megan Lieu

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Matt Mike's LinkedIn Performance

Performance ScoreMegan Lieu's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreMatt Mike's LinkedIn Performance