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?

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Google

Engineering Analyst II

Target

◦ Introduced a preference selection feature during account creation enhancing customer satisfaction, recommendations, and engagement.
◦ Designed and implemented a self serving end-to-end reporting dashboard for the Accounts and Profile team, tracking 20+ key metrics and reducing ad hoc reporting requests by 50% for over 10 product managers and stakeholders.
◦ Successfully built and deployed a comprehensive tagging framework for clickstream data, focusing on user interactions in My Target Menu, Settings, Product Display Page and other high-priority areas.
◦ Spearheaded an A/B testing initiative to introduce a simplified and efficient user flow during account creation and log in, significantly reducing abandonment rates and creating a smoother onboarding process.

Senior Data Analyst

◦ Automated the data collection process for User-Generated Content, Q&A, Rich Media, and Guest Feedback.
◦ Pioneered a streamlined Item Milestone dataset creation process to monitor item readiness from Initiation to Launch by introducing new metric (Item Data Ready).
◦ Honored with the Prodigious Partner Award for mentoring 5 team members and leading the design and execution of the Content Health Score metric.
◦ Identified inefficiencies in the customer journey by analyzing click through rate, exit rate, and bounce rate and proposed enhancements to the Product Display Page.

Data Analyst

Infosys

◦ Optimized ETL process for Healthcare and Pharma client by extracting, transforming, and loading Specialty Pharmacy (SP) data, reducing duplication and improving accuracy for over 500,000 patient records.
◦ Managed inventory and dispense data from Specialty Pharmacies (e.g., Consumer Value Store, Accredo, etc.) and third-party Hubs, ensuring timely reporting of 15+ critical files like status, insurance, benefit, and authorizations, resulting in a 100% decrease in data discrepancies.
◦ Developed status codes and new data columns for patient journey using SQL, enhancing patient insurance tracking.
◦ Automated defect reporting for data sent by Specialty Pharmacy(SP), saving over $50,000 annually by identifying and reporting over 10,000 errors per month.

System Engineer - Data & Analytics

Solar Study® by Vocuni

• Implemented a customer feedback system using HTML, CSS, and React, collecting over 500 responses in the first month.
• Developed a responsive company website resulting in a 20% increase in web traffic.

Software Developer

Guru Gobind Singh Indraprastha University

• Oversaw all financial transactions and fundraising efforts going in or out of an organizing committee
• Sourced third-party provider that lowered costs by 15%. 
• Developed an annual budget for the committee and created long-term financial projections based on departmental needs and upcoming projects.

Treasurer

A graduate of Guru Gobind Singh Indraprastha University with a BTech in Computer Science, currently contributing as an Engineering Analyst at Google. Core competencies include data engineering, database design, and query optimization, built on a foundation of diverse analytical roles at Target where impactful dashboards and frameworks were implemented to improve user experience and product insights.  

At Google, actively leveraging technical expertise and collaborative approaches to enhance trust and safety through scalable data solutions. Previous experiences reflect a commitment to driving data-driven decision-making, fostering teamwork, and delivering value to stakeholders. Motivated to bring innovative perspectives to challenges while aligning with organizational goals and culture.

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Matt Mike

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Matt Mike

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Engagements

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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

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