Sr. Data Analyst @ Crunchbase | Founder @ Big Data Energy⚡️ | LinkedIn [in]structor | Empowering career growth in data | Breaking industry stereotypes

💌 partnerships@bdeanalytics.com
Hi 👋🏼 I’m Jess Ramos, the founder of Big Data Energy ⚡️ and a content creator with a community of over 450,000 followers across LinkedIn, YouTube, Instagram, and Substack. I'm an ex-corporate data analyst and data scientist turned entrepreneur. 

I'm also a Top Voice on LinkedIn and one of the leading voices in B:B marketing in tech partnering with big brands like IBM, Claude, Lyft, and the NFL!

After spending years in high-growth tech startups, I realized my true passion is working for myself as a developer advocate striving towards making tech, data, and AI more accessible to all. Through my business, I offer brand partnerships in the form of social media content, conference attendance, and live events. I also teach SQL and data courses for current and aspiring analysts.  

Highlights:

- Creator of Big SQL EnergyⓇ ⚡️ (the world’s greatest SQL course!)
- Partnered with brands like IBM, AWS, NFL, Atlassian, Lyft, Claude, Notion, and Snowflake
- Advocate for making data careers more accessible & human in an AI-driven world

Brands: partnerships@bdeanalytics.com
🎥 Youtube: @JessRamosData
📸 Instagram: @jessramosdata
💌 Newsletter: https://jessramosdata.substack.com/
🤳🏼 TikTok: @jessramosdata

Jess Ramos, MSBA

Everyone thinks when they get a job in data it'll be the most sexiest job ever full of so many intellectual smart things... 

like coding all day, using AI, and being super techy. 

Basically saving the world one query at a time!

But the reality is that data analytics is still a business job because data analysts are parts of businesses and corporations. 

So much of the day revolves around communication, catering to stakeholders, and driving insights that point to higher-level goals and KPIs.

Things that will make the execs happy and look good in front of the board are ultimately the most important tasks-- not the research and exploring you're excited to do with all of your pent-up curiosity. 

If you don't advocate for those tasks and get buy-in from leadership, they're likely a no-go.

Sometimes, it can be draining, but it makes the quiet days where you can explore data and have fun so much more appreciated. 

Is being a data analyst what you expected or not?

Jess Ramos ⚡️

Tech, Data Science, & AI Content Creator w/ 450K+ followers | Developer Advocate & Solopreneur | LinkedIn Learning Instructor | Big Data Energy⚡️ | helping you leverage tech & AI

A popular (male) data influencer has been stealing content and ideas from me and Dawn Choo  

And I'm not very happy about it. 

They copied my LinkedIn cover photo many months ago stealing my original design of "select * from jess_ramos" pointing to my cover photo. 

I didn't say anything because it's the highest form of flattery and it's not worth my time.

But then a week ago, they copied Dawn's instagram video *word for word* stealing the exact concept, text, and script. 

I commented calling them out and they DMed me saying they "tagged Dawn in the comments giving her credit." 

When I said that still doesn't make it okay to copy people, they changed their whole story and said they "filmed it weeks before and Dawn coincidentally came up with the EXACT same idea” copying them.

And they sent a fool proof screenshot with a timestamp they edited in their phone LOL

How about we stop copying other creators and stealing ideas from women??

And even worse, lying about it?

People talk. Is that really how you want your reputation to be?

Tech, Data Science, & AI Content Creator w/ 450K+ followers | Developer Advocate | Big Data Energy⚡️ | Remote Work & Entrepreneurship

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You'll spend 80% of your time data cleaning.

So don't skip these lessons!

It's not as fun and pretty as AI & ML, but it's the bread and butter you need.

Save these functions for later:

↳ Replace(): replace values
↳ Cast(): change data types
↳ Coalesce(): return first non null value
↳ Ifnull(): replace nulls
↳ Concat(): combine string values

And save these videos to improve your skills:
Data Cleaning w/ SQL & AI: https://lnkd.in/enFBW4_5
Handling Nulls the RIGHT way: https://lnkd.in/ehaQky-Z
Recategorizing data w/ Case Statements: https://lnkd.in/eDPgdcWv

Data cleaning in SQL for data science and data analytics doesn’t have to be hard 🔥

What are your favorite functions for data cleaning??

♻️ repost for your network and save this for later!

Top 5 SQL Data Cleaning Functions

Learning how to set corporate boundaries professionally is truly an art. If you don't learn this... you'll likely be pushed around and taken advantage of. 

These are boundaries that I set for myself (and have accidentally broken in the past!):

1. Do not respond to any notifications or messages outside of your working hours. You never want to set the precedent and expectations that you will— because then if you ever don’t, your manager will feel let down and disappointed in you.

2. Overcommunicate and manage up. If your manager wants to be super hands on, keep them super updated with frequent status updates and decisions. That way they can weigh in if they want to and will build trust in you. And you can keep them from pestering you daily with updates.

3. Take time for yourself and enjoy your personal life (& PTO) GUILT FREE. Just because they have no hobbies doesn’t mean you can’t enjoy your life. You shouldn't feel guilty for using your benefits and not working past your contracted hours.

Have you had a manager like this? Are you healing from one like this?

Tech, Data Science, & AI Content Creator w/ 400K+ followers | Big Data Energy⚡️| Technical Educator | Remote Work & Entrepreneurship

Is data science still the sexiest job of the 21st century?

It’s changed a lot over the years: 

↳ 2012: DS was deemed as the sexiest job of the 21st century— and it was. It required a phd and deep statistical modeling knowledge resulting in very high salaries and demand.  

↳ 2021: This was the rise of bootcamps that over promised and underdelivered and the market became more saturated. However, tech companies were hiring so much, no one really noticed the oversaturation and many people broke in. 

↳ 2026: Hiring has slowed down greatly and so has the demand to become a data scientist. Everything has been in a lull feeling slow, and people are having to adapt their skills to include AI & agents to get jobs. 

The field isn’t dying, it’s just adapting and reshaping into new kinds of roles. 

Skills and tools are changing (as always), and you should only go into a data role if you actually enjoy it!

I think it’s worth it, what about you?

♻️ Repost for your network and 🏷️ save this for later!

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

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

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The Battle

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