I help people land their first data job within 90 days

Hey! I'm Avery! 👋🏻   My mission is to help working professionals break into data science. Let's connect!

🚀 Creator of Data Career Jumpstart; the data bootcamp that helps you start your data career by building an online portfolio full of projects!
Course includes: 
1) Data Skills (Python, R, SQL, Data Viz, ect)
2) How To Do Projects & Build A Data Portfolio 
3) How To Build Your Personal Brand 
4) How To Land Your Dream Job That Is Remote, High-Paying, and Fun 👩‍💻👨‍💻

📧  Sign Up To Get Updates: DataCareerJumpstart.com!

⛰ Running an analytics firm called Snow Data Science where we take on all sorts of data projects. From building custom dashboards, to predictions via machine learning, we are helping organizations utilize the power of their data. Have a project in mind? Send me a DM. Or visit, SnowDataScience.org. 

🏀   Landed a project with the Utah Jazz via LinkedIn post

⛽   Ex-ExxonMobil Data Scientist: solved complex supply chain problems, made beautiful data visuals, and taught data science to 300+ engineers! 2x company wide analytics champion. 

🔬 I fell in love with data at Vaporsens. I was hooked on finding meaning and insight from their chemical sensor data. The feeling was addicting. I felt like a super hero. I've never looked back.

📕 First author published as undergrad in IFAC. Novel research on anomaly detection in manufacturing data using machine learning. Feel free to read: https://www.sciencedirect.com/science/article/pii/S2405896319309073

📊 I am obsessed with data. Don't believe me? My dog has her own fitbit 🐶 My iPhone app usage has a dashboard 📱 My Chick-Fil-A visits are already predicted for next month 🐥  I run, breath, and sleep data 📊 What more proof can I give? 🤪

💬 Message me to talk about: How to break into data science, how to build a data science portfolio, and how to build a personal brand. 

Find me on:
🌐  DataCareerJumpstart.com
💻  GitHub: https://github.com/AveryData
🎥  YouTube: AVery Data
📷 Instagram: https://www.instagram.com/datacareerjumpstart/
✏️  Medium: https://medium.com/@averyjs
🎉 TikTok: @verydata

📧  Sign Up To Get Updates On My Latest Course: DataCareerJumpstart.com!

Avery Smith

ok so let's say I woke up today & suddenly no longer a data analyst. 
here's exactly what i'd do 👇

1. learn excel, sql, tableau. that's it. not every tool. just those 3.
2. explore data titles. there's way more than just "data analyst"
3. build projects. project experience is still experience
4. create a portfolio. projects that nobody can see don't count
5. fix your resume & linkedin. that's literally all recruiters see
6. apply. a lot. like 100+ applications a lot
7. ignore interviews… until you actually get one. then cram.
 
that's the whole roadmap.
rinse + repeat 
 
and honestly? if i did those 7 things consistently i genuinely think i'd get hired.

i think you'd get hired too.

so do these 7 steps!!!
and if you want help doing it, i built a bootcamp that walks you through all 7 steps 👇

https://lnkd.in/ek3Yw-yw
 
"it's like a cheat code"
-- Leah Schwiesow
     (went from teacher to data analyst in 90 days)

Founder @ Data Analytics Accelerator - I help people land their first data job (even with no prior experience)

How to Become a Data Analyst in 2026

Everyone is using ChatGPT - learn ChatGPT
Claude is so much easier than ChatGPT - learn Claude
Claude is good, but OpenClaw is better - learn OpenClaw
Perplexity just rolled out their own OpenClaw- learn Perplexity
Copilot is what businesses use  - learn Copilot
But Grok has no limits - learn Grok 
Google will win the AI race in the end - learn Gemini 
But coding is the future & Cursor is the best - learn Cursor

Meanwhile in 99.8% of corporations........

"Hey, can you export this to Excel?"

Fresh data roles that are hiring right now!
(Apply before the roles close)

Data Analyst Associate (GDIT)
Link: https://lnkd.in/eNGzNn2D

Early Career Project Controls Data Analyst (WSP)
Link: https://lnkd.in/eH3PrkA9

Business Intelligence Engineer (WFS)
Link: https://lnkd.in/e5an3-52

Business Data Analyst - Temporary (Cascade PBS)
Link: https://lnkd.in/eeyS2cgc

Financial Analyst (Northwestern Medicine)
Link: https://lnkd.in/eEF4KYtf

Healthcare Analyst II (Medica)
Link: https://lnkd.in/e7Zm4-GC

Business Intelligence Engineer (Amazon Advertising Finance)
Link: https://lnkd.in/eX5xERZc

Senior Data Analyst (Price Industries Limited)
Link: https://lnkd.in/eqUjcR8f

Financial Analyst (Domain HWH)
Link: https://lnkd.in/ejQZuNCS

Data Specialist (Renewable Energy)
Link: https://lnkd.in/e-pNQm8d

Junior Financial Analyst (Rite-Solutions, Inc.)
Link: https://lnkd.in/e_Vnd99u

Junior Financial Analyst – Debt Management & Compliance (FedSync)
Link: https://lnkd.in/eFwt9vfQ

Happy applying and good luck!
Find more roles here: https://lnkd.in/e4HAmxxQ

Been thinking about the future of data analytics a lot w/ the rise of AI. Personally, I'm not scared - but I'm watching very closely. Here's what I think the future may look like: 

I think most white-collar jobs will look fairly different, eventually. Maybe not in the next 1-3 years, but in the next 5+. For those in data + tech, an abstraction layer is being built. 

I think software development is the best example. You use to program in 1's and 0's. Now it's syntax and functions. Soon it will be mostly via natural language. 

Data will be similar. We forget the history of data analytics. 11 years ago, Power BI didn't even exist. Tableau was still new. Want a dashboard? That will be $20,000 and hundreds of hours. 

Soon you'll just dictate what you want your dashboard to look like. So, elephant in the room is this question. Does that mean data analyst jobs are dead?

I don't think so. I think they'll just change. You'll use different tools. You'll do different work. But here's the biggest change everyone is going to need to process.


Ready?

How to do things matters less and less.
What to do and when to do it matters more and more. 

Pause. Please reread it. 

I think it's important to understand...


We will live in a world where agents in 5+ years will be able to almost do anything we want. But knowing what we should do and when, that will be the key. 

-> You need to learn to think as a Data Analyst more
-> You need to analyze like a Data Analyst less 

It's a nuanced point - one I'm still figuring out. 

You can find more of my thoughts on my latest podcast episode: 
--> YT: https://lnkd.in/eb5Kyz_R
--> Audio: https://lnkd.in/eWqFBqtW

LinkedIn is about networking, but no one knows how to do it. I'm going to make it easy & fun👇

On this post, please comment the following things (just copy + paste): 
👋 Name:
📍 Location:
👔 Current Role: 
🏆 Working Towards: 
😂 Fun Fact / Hobby: 

Leave your comment.
Then read through a few others.
Choose 5 new friends to connect with. 

By the end of today, everyone should have 5 new friends! 

Let's network baby!

Hey all, life looks different now than it once did for me. 

This pic kinda says a lot: beach + babies. But there's a lot more going on in my life you don't see. A diagnosis. Mental health. Priorities. My kids. Roadblocks. Employees. Etc.

It's been an amazing year, but also extremely challenging. 

I'm going to talk about it all in my next newsletter issue on Wednesday.

Get it: https://lnkd.in/eytUCc6D

⚰️ Goodbye Data Analysts

Will AI take over data analyst jobs? 

I don't think so. But it will change how we work. Big time. And honestly, it's a good thing. Instead of memorizing SQL commands, you'll just tell it what you need, and boom, it's done. Instead of spending all the time on producing code, you can actually spend your time analyzing more. 

More efficiency. Less busy work. 

Don't be afraid of AI.
Leverage it. 




p.s. if you're trying to become a data analyst, I run a bootcamp specifically for you. And I made a whole mini-course about how to become "AI-proof" that's included.

Next cohort starts this Monday at 7PM ET: https://lnkd.in/eRuQRWHx

👋 Hey there I'm Avery, and I'm a Senior Data Analyst with 10+ years of experience, but what do I ACTUALLY do on a day-to-day basis? Here's a breakdown:

𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗜'𝘃𝗲 𝗪𝗼𝗿𝗸𝗲𝗱 𝗙𝗼𝗿:
1) Vaporsens
2) ExxonMobil
3) Stealth Cyber Security Co.
4) Utah Jazz
5) HP
6) Harley Davidson
7) MIT
8) Couple others

𝗧𝗼𝗼𝗹𝘀 𝗜 𝗨𝘀𝗲𝗱:
1) Python
2) Excel
3) Power BI
4) JMP
5) SQL 
-- in that order 

𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗜 𝗪𝗼𝗿𝗸𝗲𝗱 𝗶𝗻: 
1) Manufacturing 
2) Biotech
3) Cybersecurity 
4) Sports 
5) Energy

𝗦𝗸𝗶𝗹𝗹𝘀 𝗜'𝘃𝗲 𝗨𝘀𝗲𝗱
1) Lots of line charts
2) Dashboarding
3) Classification Machine Learning
4) Data cleaning 
5) Anomaly detection

Want all the details?
Check out my newest podcast episode.

Audio: datacareerpodcast.com/201
Video: https://lnkd.in/eicQb5SG

Hope this was helpful.

What does a Data Analyst actually do?

Fresh data roles that are hiring right now!
(Apply before the roles close)

Data Analyst Intern (Oracle)
Link: https://lnkd.in/efxGnMnN

Financial Analyst (Michael Kors)
Link: https://lnkd.in/ehMcGE3C

Associate Data Analyst, DX Research (Atlassian)
Link: https://lnkd.in/ed_B6iNs

Procurement Financial Analyst (Boeing)
Link: https://lnkd.in/e4TtYEPd

Lead Data Analyst (Ecolab)
Link: https://lnkd.in/eMupNam5

Associate, Network Data Specialist (MVP Health Care)
Link: https://lnkd.in/egG7cmMN

Senior Financial Analyst (STCU)
Link: https://lnkd.in/eVbmEa5U

Tableau Specialist (TixTrack)
Link: https://lnkd.in/et8Kj-_9

Clinical Research Data Specialist (University of Colorado)
Link: https://lnkd.in/e7WhG5Uu

Business Analyst, Advanced Analytics (USP)
Link: https://lnkd.in/eiijduBA

Financial Analyst (International Paper)
Link: https://lnkd.in/eJCEzuJ2

Data Analyst (Weiser Memorial Hospital)
Link: https://lnkd.in/eGaregnH

Business Analyst (HyerTek)
Link: https://lnkd.in/efytUEUe

Senior Financial Analyst (Cadillac Fairview)
Link: https://lnkd.in/e-PDgJEd

Business Analyst (ENTRUST Solutions Group)
Link: https://lnkd.in/erpMiMqm

Happy applying and good luck!
Find more roles here: https://lnkd.in/e4HAmxxQ

If you want to see the future of data, just look at software engineers. 

They are usually about six to twelve months ahead of us with new tech. Right now, their AI tools are literally writing their own code. 

That wave is coming for data analytics next. It sounds intense, but it is actually a huge opportunity if you are ready. 

In this issue, I’ll:
🔮 Reveal what the software world tells us about data's future
🛠️ Share the specific skills that make you "AI-proof"
💼 List 5 jobs including roles at Stanford Medicine and TextNow

View newsletter: 🚀 Data Career Newsletter

This issue is brought to you by: Data Career Articles. The best data analytics articles you’ve ever read :) You probably aren't ready for the next pha

Open article: You’re Not Ready for the Next Phase of Data Analytics by Avery Smith • 5 min read

You’re Not Ready for the Next Phase of Data Analytics

🚨 There's a bunch of data job scams going on right now! Stay safe out there.

Here's what you need to know 👇 

Full Explanations: 
Vid: https://lnkd.in/e3GwUctq
Audio: https://lnkd.in/e8PGix6i

data-job-scams

You're STILL a data analyst even if...

- you "only" know Excel
- you're 35+ & just get started
- you don't know any Python at all
- you're in Week 3 of your bootcamp
- you did an analysis completely wrong
- you can't remember the right function name
- you have to Google how to do something easy
- you have no idea what you're doing half the time

You're NOT a data analyst when...
- you give up



Those that land jobs, aren't the most talented. 
They're the ones who didn't give up. 

Most people quit because they're doing it alone. 
The Accelerator changes that → https://lnkd.in/e_uehx8H

New cohort starts tomorrow.

Dear all, just released a pretty personal podcast episode that covers: 

 1. Why I left the US & moved to Spain 
 2. The health diagnosis I never saw coming
 3. Why I owe my listeners an apology
 4. Someone on my team stole from me
 5. I almost quit the podcast
 6. 3 tropical storms hit my family back-to-back-to-back
 7. What my new No. 1 priority is
 8. The ways I've been "fake" with you
 9. My honest take on AI & the future of data careers
10. One small favor I need from you  

I hope you enjoy it and it's not TMI.

Listen: datacareerpodcast.com/200
Watch: https://lnkd.in/e_wvXGDM

Thanks!

Avery

We just hit episode 200 and the podcast has grown more than I ever expected. 

But I feel like I owe you an honest update about what has really been going on behind the scenes.

In this issue, I’ll:
- Share what life looks like for me right now and why some things have changed
- Give you a behind-the-scenes look at five years of building the Data Career Podcast
- Talk about what the future of the podcast may look like

I never thought I'd be doing this for five years. I started this podcast in April 2021. I had just quit my corporate job. I loved podcasts, and I love

Open article: I Owe You an Honest Update... by Avery Smith • 7 min read

You guys, I’m literally bawling reading many of your responses to my newsletter today 😭 

Thank you so much. 

I’m going to reply to everyone. I promise.

A fake recruiter tried to scam me this month, and it looked really real.

It's scary because job hunting is stressful enough without having to worry about getting robbed.

Scammers are getting smarter every day, and if you don’t know the red flags, it’s easy to fall for these traps.

In this issue, I’ll:
👀 Reveal the top three things scammers want from your job application
🚨 Share the warning signs of a dangerous job offer
🪄 Share a cool tool that checks job posts for you

Ready to break into data analytics? The next cohort of the Data Analytics Accelerator kicks off on March 9. The Accelerator is the same program that's

Open article: The Data Job Market Is a Scam by Avery Smith • 6 min read

I think I just recorded one of the most important vidoes of my content creation career: "The Data Job Scams Are Getting Out of Control". In this episode, I will explain all the scam postings that are happening, what the scammers are trying to do, and how you can stay safe. 

Watching this 30-minute tutorial WILL save you THOUSANDS of dollars and DOZENS of hours.

So make sure you're subscribed!

Podcast: https://lnkd.in/g9_FD88F
YT: https://lnkd.in/gD8u9eTP

It debuts on February 24th.
Don't miss it.

This week, I’m building my own marketing analytics tool - even tho I suck at developing software. Here’s why & how you can too:
 
This might be a surprise but…
 
As a content creator, it’s actually 𝘪𝘯𝘤𝘳𝘦𝘥𝘪𝘣𝘭𝘺 difficult to know how your content is 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 performing.
 
Yes, of course, each platform has it’s own analytics. But:
 
1. it’s all disjointed
2. it’s vanity metrics
 
For example, if I post about my upcoming newsletter issue and it gets…
• 1M views
• But 0 new newsletter subscribers
 
The 1M views…doesn’t really matter.
New newsletter subs - that’s what matters.
 
No built-in social media analytics tools can really track this well.
 
So I built my own - with Replit!
 
Replit allows me to build awesome apps like this without needing to:
 
🧑‍💻 Write any code
💻  Be a Software Engineer
🖥️  Learn UI Design
 
I just told it what I wanted and…
 
𝘉𝘈𝘔!
 
My MVP was built in a matter of minutes.
✅ My marketing analytics problem? Solved.
 
In this new era of AI, you don’t need to be an expert….
You just need an idea.
 
I know you have ideas.
Bring them to life with Replit: https://lnkd.in/e8CavjZZ

 
#ReplitPartner
 
p.s. this post was sponsored by Replit but I’m a paying, daily-user of the tool & 100% recommend it.

Joseph Korman (one of our bootcamp students) is ready for his next data role. 
Check him out.

I’m proud to share that I’ve officially completed the Data Analytics Accelerator Bootcamp through Data Career Jumpstart!

This program was an incredibly rewarding experience that pushed me to grow both technically and professionally. Over the course of the bootcamp, I strengthened my skills in Excel, Tableau, SQL, and Python (to name a few), while gaining hands-on experience with real-world data analysis workflows, from data cleaning and manipulation to visualization and data storytelling.

Beyond the technical skills, the program also helped me:
• Develop a deeper understanding of how to turn raw data into actionable insights
• Build and expand my portfolio website with meaningful projects
• Become much more confident in my networking

I want to personally thank Avery Smith, Isaac Oresanya, and Trevor Maxwell for their mentorship, support, and guidance throughout the program. The knowledge and confidence I gained would not have been possible without their help!

With that said, I’m currently open to Data Analyst opportunities!!

As someone who brings both creative and technical strengths to the table, I’m deeply passionate about transforming messy datasets into clear insights that help drive better decision-making. My creative thinking skills, combined with my data analytics skills, allow me to view projects from many different angles, which enables me to make smart, data-backed decisions. My dual skillset will be an extremely valuable asset to your team!

If you or someone in your network is looking for a driven, detail-oriented data analyst who genuinely enjoys data cleaning, analysis, visualization, and presenting insights, I would love the opportunity to connect and discuss how I can contribute to your team! Feel free to view my past work on my portfolio website, linked on my profile. I’m very excited for what’s ahead and grateful for any connections or opportunities that come my way!

#DataAnalytics #OpenToWork #DataAnalyst #SQL #Python #Tableau #Excel #DataCareerJumpstart

Job hunting is already hard enough. But imagine going through three rounds of interviews for a job that doesn't exist.

It sounds crazy, but it is happening right now.

Next Wednesday, I am breaking down the biggest red flags I’m seeing in data job offers. I want to make sure you never waste your time on a fake role.

Don't let them trick you.

Get the full breakdown (it’s free): https://lnkd.in/eDTDuK8J

I’m seeing a huge spike in data job scams lately. Are you?

Hi there! You’re probably here for 1 of 2 reasons.

1) You’re here to learn about my analytics experience.

I am a senior data analyst passionate about using my data skills to improve business outcomes.

Over the years as a data analyst I have gained valuable experience writing complex SQL code, building user-friendly dashboards that drive action, and writing Python code to elevate analysis (recent projects include logistic regression and calculating the distances between over 100,000 addresses).

2) You’re here to learn about my content creation.

I started making content on TikTok about how to become a data analyst in September 2022.

In that time, I have gained over 260k followers among platforms and found a ton of fulfillment seeing many use my tutorials to land jobs.

If you’re a brand who would like to work with me, contact me at DoDataFromHome@gmail.com.

When I’m not playing with data, I enjoy traveling, spending time with friends, and reading about business and company founders.

Featured in Business Insider, DataAnalyst.com, and 365 Data Science.

Elijah Butler

These data analyst jobs were posted today and are actively hiring:

1. Data Analyst, Sustainabilty
Company: Live Nation Entertainment
Experience: 0-3 years
Salary: $76,000 - $95,000
Location: Remote
Link: https://lnkd.in/g_JQd9NV

2. Data Analyst, Supply Chain
Company: Esperion
Experience: 0-3 years
Salary: $78,500 - $84,500
Location: Remote
Link: https://lnkd.in/gsvu26Wm

3. Growth Analyst
Company: Elation Health
Experience: 3-5 years
Salary: $125,000 - $150,000
Location: Remote
Link: https://lnkd.in/grSCPdWu

4. Principal Product Analyst
Company: Ethos
Experience: 5-10 years
Salary: $133,000 - $236,000
Location: Remote
Link: https://lnkd.in/gghCBCUY

5. Clinical Data Analyst, Spotfire
Company: SystImmune
Experience: 5-10 years
Salary: $90,000 - $130,000
Location: Redmond, WA
Link: https://lnkd.in/g48ea9fX

Apply for these jobs and more at DataAnalyst.com.

Bonus: check out the Courses page for exclusive discounts on top data analyst courses.

Owner of DataAnalyst.com | Analytics & Marketing @ Quadratic

Open article: Data Analyst jobs in the United States by dataanalyst.com

“Is AI gonna take your job?”

What a stupid question. And no.

Why? I’ll tell you why.

AI is UNABLE to have crushing self doubt

AI is UNABLE to cry at its desk.

AI is UNABLE to cheer itself up with an $11 latte.

AI is a fad. I’m a legend.

Owner of DataAnalyst.com | Analytics & Marketing @ Quadratic | Helping you become a job-ready data analyst

If you wanna be a data analyst, you gotta be incredible with SQL. Good news: there’s a new FREE course to help you.

Luke Barousse has published numerous free data courses to his YouTube channel.

Over a year ago he posted his SQL for Data Analytics Course.

And last week he dropped his new SQL for Data Engineering course.

This new advanced course is ready for those who are ready to take their SQL skills to the next level.

In addition to the SQL courses, Luke has also created courses for Power BI, Excel, Python, and Chat GPT.

Check all of these out on Luke’s YouTube channel that I will link in the comments.

(Not a sponsor)

Here’s some technical advice for all you data analysts out there.

Learn the tools you know you should learn: SQL (get great at this one regardless), spreadsheets, and a data visualization tool.

Then find one thing that you want to specialize in and market yourself as an expert for that tool.

Go all in on Tableau and be the “Tableau person” for your company.

If you work or want to work with sales data, get a Salesforce certification and be the “Salesforce analytics person”.

A jack of all trades is a master of none, and often companies are hiring to have one major problem fixed.

If a company that recently migrated to Snowflake is hiring a data analyst, I’m sure they would love to hire the “Snowflake master”.

Just a takeaway from my work and interview experience.

Here are five hard interview questions you get in most interviews and how to answer them:

1. What is your biggest weakness?

Answer: Whenever I get frustrated, I quickly become violent. But that’s just how dedicated I am to winning.

2. Why did you leave your last job?

Answer: It was a toxic workplace where everyone is incredibly judgmental. You set a fire on three separate occasions and suddenly you’re labeled for life.

3. What are you targeting for compensation?

Answer: How much do you make? Oh, for real? Add 10k to that and we should be Gucci.

4. How do you handle conflict in the workplace?

Answer: Pettiness and crying.

5. Where do you see yourself in 5 years?

Answer: Hopefully with a few bogus charges off my record. Oh, you’re talking about job-wise? Who knows, that’ll be like 6 jobs from now.

Follow me for more epic career tips.

I’ve taken 14 data analytics courses from Analyst Builder (and even used it to ace a difficult SQL assessment recently). Here’s why I keep going back to Analyst Builder:

1. Friendly, engaging instruction

There are other great course platforms out there, but the one thing they will never be able to replicate is Alex Freberg’s teaching.

There’s a reason his YouTube channel has over a million subs, and it’s that he teaches complex concepts in a way that’s easy to understand.

2. Interactive coding problems

One of the best ways to get really good at SQL/Python is through practice problems, and Analyst Builder’s platform is the best I’ve used.

One thing that sets it apart from other platforms is most problems have a video explanation to help you if you were unable to solve it.

3. Real world projects

Before you have job experience as a data analyst, you have to make your own experience, and Analyst Builder helps you get started with its featured projects.

These projects cover real world work like churn analysis, data cleaning, dashboard building, and more.

A few other things I like about Analyst Builder are the intuitive user-interface, portfolio website building tutorial in the Landing a Data Job course, and the fact that the platform is improving or getting new courses/content regularly.

If you want to check out Analyst Builder for yourself, check it out at the link in the comments, and use code ELIJAH25 for 25% off.

#AnalystBuilderPartner

Which data visualization tool is the best?

What is the superior data visualization tool?

The author can see how you vote. Learn more

If anyone is hiring for any of the roles below, I cannot recommend Clayton enough.

We met on LinkedIn several years ago and he has become one of my best friends.

Clayton is incredibly knowledgeable about all things data/IT/tech and is one of the friendliest people you’ll ever meet.

Please reach out to him if you or someone you know is hiring!

Driver of Process Optimization via Dynamic Data-Driven Solutions

Good morning everyone! I’m seeking a new role and would appreciate your support. If you hear of any opportunities or just want to catch up, please send me a message or comment below. I’d love to reconnect. #OpenToWork

About me & what I’m looking for:
💼 I’m looking for roles in Information Systems/Information Technology/Supply Chain, and am seeking the following positions (including, but not limited to): 

ServiceNow Performance/Platform Analytics, Information Technology Strategist, Continuous Improvement Specialist, Process Excellence Manager, Enterprise Solutions Architect, Implementation Analyst, Change Manager, Data Architect, and Data/Business Analyst.

🌎 I’m open to Full Time/Contract roles in Lexington, Oklahoma City Metropolitan Area, Cincinnati Metropolitan Area, Greater Fayetteville, AR Area, and Remote.

⭐ I’ve previously worked within IT at Lexmark (a subsidiary of Xerox), in Materials Requirements Planning at Anheuser-Busch InBev, and in Insight Retail Analytics at Retail Insight. 

Thank you, looking forward to my next opportunity!

Looking for Information Technology Strategist, Continuous Improvement Specialist, Process Excellence Manager, Analyst and Enterprise Solutions Architect roles

Early in my career, this one thing made me miss out on over 20 jobs. Wanna know what it was?

Showing up to the hiring manager’s house unannounced with a freshly baked cake frosted to look like them (in incredible detail I might add).

Courtesy in the workplace is dead.

What will the impact of AI be on data analysts?

To be real, it’s a fool’s errand to forecast years into the future.

But here is my layman view of AI and analytics right now and in the next 3 years.

Right now, AI makes you more of what you already are as a data analyst.

Really good at SQL? AI can help you write code faster and check code for errors, making you more efficient.

Really bad at SQL? AI can generate wrong code that you aren’t knowledgeable to accurately review.

That is why I highly recommend that even today, you learn how to comfortably write code and use other tools without AI.

Expanding from the employee level to the company level, businesses for the past year have been racing (sometimes recklessly) to implement various AI tools and processes into their teams to boost productivity, impress stockholders, and not be left behind.

However, eventually these AI costs are going to stack and will need to be answered for, and I personally think some companies that haphazardly implemented AI will find they wasted a lot of money.

Going into the next few years, I think AI will be more of a tool than a replacement for data analysts.

I’ve said this for years but believe it even more today.

I could be wrong, but I think companies will scale down their AI to more directly applicable tools [like Quadratic 😉] instead of “LET’S THROW AI AT EVERYTHING!”

I know for me as a consumer, AI has been implemented poorly by a lot of big companies.

A lot of people were annoyed at SnapChat’s AI friend.

One social media’s AI allowed you to generate nonconsensual leud photos of anyone in seconds.

And we’ve probably all dealt with a customer service AI that makes us want to scream.

How do you think AI will impact analytics and companies overall in the near future?

Something you should do very early on when starting a new job or project is baselining your numbers. 

This means to capture performance before you start working or implement a new project so that you can document the success of your work.

Then you will be able to show your boss or put on your resume that you implemented X to improve Y by Z.

THAT is how you land more jobs/promotions.

For me, I just started work doing analytics and social media marketing for Quadratic AI. 

So before I started posting content, I baselined followers and engagement for each platform so I can accurately track how well I perform on the job.

Being able to quantitatively showcase success is huge to move up in your field. 

Or if you want to move down in your field, try quantitatively showcasing failure.

taplio

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taplio

The Battle

Avery Smith

Elijah Butler

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);}Avery Smith's LinkedIn Performance

Performance ScoreElijah Butler's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAvery Smith's LinkedIn Performance