🦾Jepson Taylor

VEOX

VEOX Inc is revolutionizing the AI industry by creating an AI-driven algorithm factory, compressing decades of progress into moments. Our technology automates AI science research, continuously improving algorithm efficiency and outperforming human-made algorithms. VEOX is not just building another AI company; we're catalyzing an explosion of technological advancements that will reshape the entire tech landscape. Join us in accelerating intelligence beyond human limits and leading the next wave of AI breakthroughs.

CEO/founder VEOX

Artificial Intelligence Masterclass, NYU - Intellibus

FYI, I’ll be co-leading an AI Master Class for about 20 senior leaders at NYU’s School of Professional Studies in September and October!  We have a fantastic team of expert AI panelists too, and I’d love to have you join the program. If you’re keen then drop me a note and I’ll make sure a spot is saved for you.  Also, feel free to send this link onto others who will benefit from joining. This course will be the #1 AI course in the US for senior leaders and will change the way you think about AI and how we tackle its opportunities and threats. A big part of this course is the close collaboration between industry and academia. More info here: https://www.aimasterclass.com/

Contributing Faculty

AtomicSoul.ai

I love being the host for the Atomic Soul Podcast where I explore the very things driving humanity forward. This isn’t your average “AI is taking over our civilization” show - it’s something much more rare that’s sure to make you reevaluate your perspective on controversial topics. Each week we’ll hear from the world’s most interesting people, like corporate giant execs and people bending the mold. It’s at this very intersection of tech and the brain where we expand our consciousness.

Podcast Host

Dataiku

I will provide straightforward industry perspectives and insights, thought leadership on the future of AI, and share the stories and best practices of Dataiku’s growing enterprise customers. I will help accelerate the company’s strong recent momentum, including: 
Over 500 customers with 150+ on the Forbes Global 2000 list
95% customer retention rate with Forbes Global 2000 customers 
Industry recognition includes being named to the Forbes Cloud 100 and Forbes AI 50 lists, top 10 in the Data50, and Snowflake’s ML/AI partner of the year.  
Certification as a Great Place to Work, with 94% of Dataikers saying the company is a great place to work (compared to 57% of employees in a typical U.S.-based company)

You can’t have fun if the fundamentals aren’t working and I was impressed with Dataiku’s growth, enterprise customer count, customer satisfaction, and one collaborative platform. 

I want to work for a market leader and believe that Dataiku is indeed the leader that industry analysts and 500+ customers say they are and I want to invest my life force into this company. 

I am very excited about the next year, and my excitement has only continued to increase since joining. This company has the soul I was seeking.

Read more about my WHY here https://blog.dataiku.com/ben-taylor

Chief AI Strategist

DataRobot

As Chief AI Strategist at DataRobot, I work closely with our innovation team, marketing, sales, and product to ensure innovation is aligned with our product roadmap/strategy. I also help nurture strategic partnerships for the innovation team, can we combine like-minded visionaries to accelerate the future? Can we inspire the next generation by combining world-class innovation with brilliant storytelling? I love working with brilliant technologists and amplifying them with genius creatives. Magic happens between these two types of experts. Some of that work was showcased with our 10,000 cast piece which ended up being nominated for a Webby award. Very excited about what we have in the pipeline this year.

Artificial intelligence is already changing our world for the better. Unfortunately, too many homegrown projects are failing giving the rest of the industry a bad rap. Too many executives are naive to the opportunity. The gap of "do-ability" isn't being crossed in the mind of the business executive. AI should inspire, it should transform, everyone should wake up in the morning excited about what AI could do to automate their business and lift our society to new innovative heights.

Chief AI Evangelist

Zeff

co-founder, Chief AI Officer

Working crazy hours to deliver the world's best machine and deep learning to product companies with the least amount of effort. Our goal was to be easiest to use, but surprisingly we are winning on scalability, accuracy, and implementation time. If you need any machine learning in 2017/2018 reach out to see if you are a fit for our current offering. Great press to come.

co-founder & Chief Data Officer

HireVue

Building out HireVue's data science team with the talent needed to execute on our technical data roadmap. We currently have one of the best deep learning teams in the state and by next year it could be one of the top 10 deep learning teams in the country. I love the work we are doing, the opportunity we have, and the success we are seeing. Working with brilliant people is critical to job satisfaction and we have that at HireVue.

Chief Data Scientist

Is it possible to take something as unstructured and complicated as a digital interview and predict the quality of the candidate response? The answer is yes! Imagine what you can do with 100,000x more data than a resume. Leading HireVue's data science team to success on algorithm development for the HireVue insights IRIS product, a new data frontier for sure.

Principal Data Scientist

Metaheuristic Solutions LLC

Metaheuristic Solutions is a optimization consulting company with the world's leading metaheuristic optimization algorithm, the x algorithm. The new algorithm was developed by Ben Taylor and was made available in 2011.

Founder/CTO

IM Flash Technologies

Using Matlab, R, and Julia to develop multivariate and single variate models and analysis (MVA/UVA) for tool fault detection. These models are then used to shut down tools used in the semiconductor manufacturing process, notify stake holders, and mark up lots for real-time detection analysis (RDA). Projects also include building complex yield models from tool data and automating alarm rule setup as well as fab wide tool fingerprinting to identify rogue behavior even if alarms are not present.

I am also very busy on the web app side building PHP/Mysql wrappers to give engineers access to big data solutions. Hoping to switch soon to python/django/postgres. Also using custom built SQL queuing system that I designed on the backend to manage user loading for job requests.

Senior Data Scientist, Fault Detection

launchup.org

observer

I build stuff that doesn’t exist, an AI explorer. 
Unfortunately I have too many connections so please follow me instead. 

人工智能 (Chinese)
人工知能 (Japanese)
कृत्रिम बुद्धिमत्ता (hindi)
الذكاء الاصطناعي (Standard Arabic)
কৃত্রিম বুদ্ধিমত্তা (Bengali)
искусственный интеллект (Russian)

I watch the watchers, I direct the learners. 

I am passionate about machine learning. My life's mission is to further the boundaries of what is possible with data science. I spend as much time as I can working with deep learning, NLP, and all forms of data science. I currently have a passion project I am managing where I am combining the power of genetic programming with deep learning to automate network design. I think there is a trend happening in data science where human expertise and creativity are being replaced by powerful new methods (i.e. deep learning, big data). 

I am most well known for my machine learning work with the data science community and with HireVue. With the community, I enjoy posting opinions on jobs and tutorials on ML methods. I also enjoy speaking and presenting to all types of audiences. 

I've enjoyed working across engineering, product, sales, marketing, and customer success. This wider POV has helped shape the way I think about innovation, from the innovation farm to the customer's table ;)

Lip biting… let’s discuss on LinkedIn 

This is a photo of me… 24yrs ago doing an authentic lip bite hanging out with my girlfriend (now wife). 

The lip bite is interesting… it has a lot of emotion in it. There is “choas hesitancy” in it? It is awkward when you see it. I’m not settled. 

My hope is all of my kids will find someone who makes them bite their lip awkwardly. I think no expression captures love more than this... staring at a 5th class rapid and saying I'm all in on this, and diving head first. 

Will AI ever bite it’s own lip, if so… what would that mean? One of those random human posts, love that my life parter still makes me bite my lip today 24yrs later.

CEO/founder VEOX Inc | Fasted Ultra Runner | Contributing Faculty AIMasterClass NYU | Keynote Speaker | former child

No alternative text description for this image

Well this is might be a little awkward but I'll ask anyway, I like awkward. If you are a DataRobot or Dataiku customer and you are thinking about not renewing next year I would really like to understand why [confidentially]. In return I'll offer you an in-person dinner and a longer conversation about AI and strategy. I'll also share some of my 'off the menu' Jepson stories. Having longer conversations lately with various CDAOs on the future of ML platform companies and whether or not their moats are evaporating or... are they keeping pace. Please send me a PM and we can jump on a quick zoom and schedule an in-person dinner (assuming you are in the US, outside of the US will have to be aligned with other travel). 

Also qualifies: other ML platforms not mentioned H2O.ai etc...

(network: likes/comments/trolling on this post appreciated for reach)

I already wasn't a big fan of Forester Public Relations, but when they were paid to defend nonfounding executives selling $32M of stock... 

"Executive stock sales ($32M) don't necessarily indicate problems." -Forester

How can you trust them on anything else they say after that? 

“Whoever is careless with the truth in small matters cannot be trusted with important matters.”
— Albert Einstein

WTF… this parking lot should be full? Too cold?

So in the future... some of you may choose to have a neural link implanted in your mind, a second observer. It will consume your life experience and give you real-time advice. What to say, what to do, reminders, knowledge retrieval. Feels like science fiction but in... 20-30 years I would say of course this will be available. A secret super power. 

Now for the fun part, if it is always right, if the times you don't follow it you make mistakes (less money, hurt relationships, etc..) then... would you consider allowing it to take over and override your internal decisions. Cruise control through life to maximize the outcomes you want. Have the hard conversations, do the hard workouts, make the best decisions for future you. 

The concepts shines a lot of what it means to be human... to remove all mistakes, to reach perfection... removes you. Would you cruise control your life if you knew it would say all the right things and do all the right things for you? Sometimes I feel like my daily optimal decisions are <20% (like working out, etc..)

Staying ahead in AI is tough, nearly impossible for most executives. We're launching our 5th cohort this fall at NYU November 20-22. A few spots remain for leaders wanting to level up.

Join me and Aditya (Ed) Watal for 2.5 intensive days unpacking everything we've implemented with our teams. This is the only executive AI course I know that dives into these exact topics at this level of depth. 

Group discounts are also available, bring your leadership teams (message for details around group discount rates.) 

Find out more here: https://lnkd.in/gcZhh_P7
Or reach out to me directly with course questions.

AIMasterClassNYU

So this is how the dyson sphere gets started... building data centers in space. Unlimited power + incredible cooling. Awesome to see this starting with Starcloud, very curious how compact they can go on the compute/storage... is natural convection enough or do they need active cooling in space?

Data Career Jumpstart

🚀 Helping professionals break into data science 

Data Career Jumpstart is an online, data science school designed to teach you data science by doing practical, personal projects, enabling you to build an online portfolio that blows recruiters minds 🤯

Data Scientist

Data Analyst

Check this out at Data Career Podcast wherever you listen to podcasts!

MIT Professional Education

Data Engineer

Snow Data Science

⛰️ Snow Data Science is an analytics firm that provides data solutions

📫 Send me a DM if you’d like to learn more about our services

We offer the following services:
▪️ Machine Learning 
▪️ Data Visualization
▪️ Algorithm Development
▪️ Data Sourcing
▪️ Data Cleaning
▪️ Dashboard / Web App

ExxonMobil

- Developed tool to make automated, data-driven decisions to improve capital planning ($330M/year)
- Created enterprise-wide web application via cloud computing to democratize manufacturing data to all engineers 
- Lead US wide analytics interest network of 200+ providing advice, expertise, and training
- Modeled complex supply chain processes that include 3,000+ variables to provide economic clarity via predictive analytics
- 3x company-wide data analytics competition champion that included 100+ participants

Vaporsens

- Implemented machine learning and advanced algorithms to identify and quantify unknown chemicals
- Solely responsible for all analytics in startup company
- Generated 30% revenue growth through convincing data visualizations and customer relations
- Performed and presented data analysis to Fortune 500 companies to secure collaborations

University of Utah College of Engineering

- Published first-author paper in International Federation of Automatic Control’s special issue Intelligent Manufacturing Systems (see link to read paper)
- Created new algorithm for clustering sensor data with over 1 million data points
- Constructed novel process to perform outlier detection in large industrial systems utilizing machine learning

Big Data Researcher

🖥️       Developed tool in Python to make automated, data-driven decisions to improve capital infrastructure planning and spending, providing an estimated savings of $330,000,000/year
🧮        Investigated complex mathematical refinery models to ensure accuracy in making crude oil acquisitions

Optimization Engineer

Machine learning and statistical data analysis 
-	Understanding of complex statistical strategies and strong critical thinking methods. 
-	Innovation and implementation of advanced algorithms for chemical sensing system to identify and quantify unknown chemicals applying machine learning and data analysis tools and methods.  
-	Programmed own data analysis pipeline and edited and updated chemometrics package from past chemomitrican to perform key calculations and capture vital data. 
-	Development of unique chemical fingerprints and chemical library. 
-	Assistance to engineering side through microcontroller production and coding for flow measurement and device communication used in future commercial products.

💽   Built bio-chemical organic semiconductor sensors 
☠️  Handled dozens of narcotics and explosives 
🧐  Lead quality assurance initiative to ensure $60k in product worked properly
🧬   Conducted 100's of complex experiments

R&D Engineer

University of Utah College of Science

☺️   Worked for free, part-time for 3 months. I owe everything good in my life to those 3 months.
🌎  Conducted scientific experiments for Doctor Sohn’s Iron Novel Development Lab
🔬  Used ICP-MS to analyze chemical samples for purity
📉   Performed data analysis in Excel to ensure high quality

I worked for free, part-time for 3 months. I owe everything good in my life to those 3 months.

Laboratory Assistant

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

When searching for a "Data Analyst" job, please stop only searching "Data Analyst"

And instead try one of these 42 different job titles!

You'll find jobs with less applicants which makes you more likely to land the interview!


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If you found this helpful, do one of the following:
♻ Hit repost (help others)
👋 Hit follow (I don't bite)
📧 Click "View my newsletter" at the top (got more good stuff to send ya)

datacareerjumpstart

snow-datascience

li_at

JSESSIONID

Talks about #analytics, #datascience, #engineering, #dataanalytics, and #datavisualization

📈 I help people land their first data job (even with no experience) 📊 Join 10k+ other analysts & get my newsletter! 🎙️ Host of The Data Career Podcast

Here are 4 reasons I wouldn't become a Data Scientist in 2026 (and what I'd do instead): 👇

1️⃣ It takes too long
Data scientists do a lot of machine learning. ML requires a lot of math and programming. Math takes a long time to learn and understand. So does programming. It just takes forever to learn this stuff (especially on your own time and resources). 

2️⃣ You probably need a master's degree
Unfortunately, data science roles have a high bar to clear education wise. Most require Master's. I wish it wasn't true - but that's reality. That's basically 2 years and $20,000 out the window before you're even employable. 

3️⃣ Other roles have more openings
Believe it or not, there are 2x more open Data Analyst roles than data science (and 10% more Data Engineering roles). There's a big demand for Data Analyst and Data Engineer right now. Data science? Maybe not as much (see why below). 

4️⃣ Companies don't see quick ROI 
Data science projects are long. They're complex. And the fail most the time. It's hard to see clear ROI. Data analyst on the other hand, have a more immediate value add. It just is easier to do good reporting than it is to do machine learning. Companies want quick wins in this economy. 

So what should you do instead? 

I think you should become a data analyst. It's a much easier role to land. There's a lot more openings. You still get paid great. You can pivot very quickly. And you can get paid to learn data science or data engineer later. It's the "gateway" role into the data world. 

🤷♂️ That's my 2 cents

I explain it in depth in my latest podcast episode:
📺 https://lnkd.in/eSJ4GHGb
🎧 https://lnkd.in/eRbrX2yK

👋 Friendly reminder...you're STILL a data analyst even if...

- you're just getting started
- you "only" use Excel
- you forget SQL syntax constantly 
- you bomb the big interviews
- you can't program at all 
- you did an analysis completely wrong
- you can't remember the right function name
- you have to Google how to do something super easy 

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

Don't give up: https://lnkd.in/ep36uEaC

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

Principal Data Analyst - Risk Management (Capital One)
Link: https://lnkd.in/exYN94D4

Associate HR Data Analyst (Mortenson)
Link: https://lnkd.in/eTpXGXiu

Marketing Analyst (Backroads)
Link: https://lnkd.in/ecGiUsif

Financial Analyst, Sales (Dave & Buster’s/Main Event)
Link: https://lnkd.in/eFAyDwut

Data Analyst (Remote - US) (Jobgether/Partner)
Link: https://lnkd.in/eihR-8us

Junior Financial Analyst - Commercial Real Estate (Colliers)
Link: https://lnkd.in/emt7c7Bm

Senior Financial Analyst (Adtalem Global Education)
Link: https://lnkd.in/eafGDX6x

Data Specialist (WSB)
Link: https://lnkd.in/egupsQN8

Data Analyst - BI (LetsGetChecked)
Link: https://lnkd.in/eA-TkzRZ

Business Analyst (Steampunk)
Link: https://lnkd.in/eWifk9Pq

Accountant/Financial Analyst (City of Dunedin)
Link: https://lnkd.in/e73Rn5CY

Business Intelligence Engineer (ALTEN Technology USA)
Link: https://lnkd.in/e_VeCQs7

Quality Systems PLM Business Analyst (Insulet)
Link: https://lnkd.in/ebGfpath

Software Engineer 2 - Report Developer (Power BI + Tableau) (U.S. Bank)
Link: https://lnkd.in/eHs2v_sz

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

I’m excited to announce I’m doing a “Hands-On Data Analysis with Claude” course for LinkedIn Learning!  

This is my first LinkedIn Learning course ever! LinkedIn reached out in 2022 and the timing just never felt right…until now! 

If you think ChatGPT is helpful, wait till you see what Claude can do! 🔥 

Should be published sometime next week.

LinkedIn

If you're not doing this with your kids on Halloween night, you aren't doing it right!

👻🎃🦇 Happy Halloween!

p.s. sub to my newsletter for more data content: https://lnkd.in/ep36uEaC

------
♻ Repost this if you laughed!
👇 Or tell me your fav candy in comments

🎈 I'm excited! Tonight, 12 brave, new analysts start their data journey by joining The Accelerator!! Over the next few weeks, these students will do the following:

• Earn interviews
• Land a data job
• Network like crazy
• Perfect their resume
• Find trends in Tableau
• Create their own portfolio
• Build a sales report in Excel
• Bunch of other great lessons
• Optimize their LinkedIn profile
• Start the basics of Python & R
• Learn the fundamentals of data
• Analyze healthcare data with SQL
• Discover how to use LinkedIn like a pro
  
Sounds awesome, right?

If YOU are trying to land your first data role...
📍 This is your roadmap! 
🤝This is your squad! 
👨‍🏫 I am your guide! 

Come join us - the kickoff call is tonight at 7PM ET. 100% free to join.

Calendar invite in comments 👇

The data job market is really tough right now. I wanted to share a REAL hiring pipeline from a REAL hiring manager to illustrate the actual process.

285 Applicants -> 1 Hired Data Analyst

In my podcast episode, I highlight each stage in detail & show you how to NOT get rejected! I think it'll help you understand the process more!

👉 Full episode: https://lnkd.in/eeBpZEtp

👇 What are your takeaways from this chart? 

♻ Share this so more aspiring data analyst can enjoy

I'm excited to announce I built a course with LinkedIn Learning to teach you how to analyze data like a pro using Claude! 🎈

This short course will teach you how to:
🧹 Import & clean your data 
👀 Explore your data by asking simple questions
🤖 Create statistical models 
📊 Building beautiful data viz & dashboards

All without writing one line of code, with the help of Claude!

https://lnkd.in/egBHUJg3

🎁 I'm giving away my SIGNED copy of the latest 𝙎𝙩𝙤𝙧𝙮𝙩𝙚𝙡𝙡𝙞𝙣𝙜 𝙬𝙞𝙩𝙝 𝘿𝙖𝙩𝙖 book by Cole Nussbaumer Knaflic! Here's how you win... 👇

1. Subscribe to my free newsletter: https://lnkd.in/ep36uEaC
2. That's it. 

Easy, right? 👏

Okay, brownie points if you repost this as well ♻

But seriously, this book is VERY cool for all my data visualization enthusiasts. If you're unfamiliar with the Storytelling with Data brand and Cole, I highly recommend! Fantastic resource to learn data viz. 

I personally learn best through examples and this book is full of step-by-step, practical examples. You'll see how a professional data viz team corrected and improved 15+ graphs and charts. You'll learn a lot!

So...want the book? 
What are you waiting for? 
Hit subscribe 👉 https://lnkd.in/ep36uEaC


🎁 I'll announce the random winner next week.

🏈 I analyzed 1.18 million rows of NFL data to find out who the most CLUTCH quarterback of all time is...any surprises in the graph? 👇


Sports analytics is the coolest because it allows you to "see" insights and patterns you might not notice on the field with your natural eyes - just like the movie 𝙈𝙤𝙣𝙚𝙮𝙗𝙖𝙡𝙡! Like if you know anything about the NFL, you'll be shocked to see that Tua Tagovailoa is somehow the must clutch quarterback of all time?!? 

But that's what the data says. 

5) Kurt Warner
4)Jake Delhomme
3) Andrew Luck
2) Patrick Mahomes
…
1) Tua Tagovailoa??

💻 I teamed up with Sphinx (a new AI copilot) to get, clean, analyze, and display NFL play-by-play data from the past 25 years. It allowed me to do this analysis 5x faster than it would normally take me. Thanks Sphinx for supporting my work!

Clutch was defined as the last 1/8 of a game (or overtime) and I used above average performance of touchdowns, completions, and interceptions to define quality. 

Please, argue in the comments below! I want to know what you think!!



p.s. I actually tried another way to quantify clutch and got a different top 10. You can check out that list in the video we made (see comments below)

Happy Halloween from the Peppa Pig (Smith) Family!

IYKYK! 🐽🐷🐖

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

Financial Analyst (Dow Jones - Finance)
Link: https://lnkd.in/eJ93tFyH

USMC Logistics Data Analyst (CGI Federal)
Link: https://lnkd.in/e-HpC52B

Digital Marketing Analyst (Shake Shack)
Link: https://lnkd.in/e9-Q22RD

Senior Business Intelligence Engineer (Amazon)
Link: https://lnkd.in/eKedab47

Business Intelligence Engineer (Amazon)
Link: https://lnkd.in/e32-wZ7n

Staff Hadoop Admin & Tableau Admin - Big Data (ServiceNow)
Link: https://lnkd.in/eTvE8ViG

Senior Business Analyst (PGIM Custom Harvest)
Link: https://lnkd.in/eaUx4maM

Lead Data Analyst (YipitData)
Link: https://lnkd.in/epSz4bDh

Data Analyst (Workstream)
Link: https://lnkd.in/eAsEBvPP

Business Analyst (Ambry Genetics Corporation)
Link: https://lnkd.in/eK9SpgFS

HR Data Analyst II (ENFRA)
Link: https://lnkd.in/eCaNZrRU

Marketing Analyst I (Cars Commerce)
Link: https://lnkd.in/evBmiXmc

Data Specialist (Election Systems & Software)
Link: https://lnkd.in/exwAb2d6

Financial Data Specialist (RapidRatings)
Link: https://lnkd.in/eFhpKarA

OPIS Data Analyst Intern (Dow Jones)
Link: https://lnkd.in/eEh4fnv6

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

Dear all, today is the start of November. 

Here's a 30-day "Become a Data Analyst" study plan for you:

November 1: Learn different data roles
November 2: Learn what each role requires skill-wise
November 3: Explore pivoting within your company 
November 4: Update your LinkedIn profile pic + headline + about
November 5: Update your LinkedIn experience section
November 6: Update your resume to be ATS friendly 
November 7: Keyword stuff the crap out of your resume
November 8: Learn about cleaning data in Excel
November 9: Study Excel formulas (Average, Sum, Max/Min, etc)
November 10: Build some graphs in Excel (scatter, line, historgram)
November 11: Master Pivot Tables in Excel
November 12: Learn XLOOKUP or VLOOKUP with Excel 
November 13: Build a project in Excel
November 14: Publish your project in Excel 
November 15: Starting learning the basics of Data Viz
November 16: Download Tableau Public and play around
November 17: Create a scatter plot & line chart in Tableau
November 18: Learn about KPI's & metrics in Tableau 
November 19: Use Tableau to create your first dashboard
November 20: Publish your Tableau project online
November 21: Build a portfolio host site
November 22: Upload your previous two projects
November 23: Leave 5 thoughtful LinkedIn comments
November 24: Write your first LinkedIn post 
November 25: Start learning the beauty of SQL
November 26: Know SELECT, FROM, WHERE in SQL 
November 27: Take the day off. Eat some turkey. 
November 28: Discover COUNT, SUM, and GROUP BY in SQL 
November 29: Practice SQL: ORDER BY and filters 
November 30: Build a dope SQL project 

If you spend 30 minutes a day, you'll progress more this month than ever before. 

Enjoy!

Avery


p.s. if you want to follow this plan step-by-step, this is the EXACT roadmap we follow in my data analyst bootcamp: black friday deal here: https://lnkd.in/eYZh7_-U

Congrats to our Accelerator student Linh Le on landing a VERY cool new data job as an Automated Web Scraper for The Associated Press! 🥳

Web scraping is SUPER useful and I'm excited to see what data Linh is able to unlock.

Join me in congratulating her!!!

Data Analyst | Python | SQL | Tableau | I help decision-makers see opportunities hidden in data

I’m happy to share that I’m starting a new position as Automated Web Scraper at The Associated Press!
This experience taught me how critical data reliability and latency are when information changes by the second. It also gave me a deep appreciation for the unseen work behind every “live” dataset we see online, including the logic, timing, and quality control that make it trustworthy.
Always excited to keep learning how data moves: fast, clean, and meaningful. 🪄

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

𝐋𝐞𝐚𝐝 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (Disney’s Direct-to-Consumer Product & Tech Analytics)
Link: https://lnkd.in/eJCN8sxy

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫, Customer Trust External Relations (Amazon)
Link: https://lnkd.in/eHCjbugv

𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐚𝐥 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 - Retail Bank (Capital One)
Link: https://lnkd.in/eXgxTja8

𝐄𝐧𝐭𝐫𝐲-𝐋𝐞𝐯𝐞𝐥 𝐏𝐫𝐨𝐜𝐮𝐫𝐞𝐦𝐞𝐧𝐭 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (The Boeing Company)
Link: https://lnkd.in/eJsCKSqg

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 - Mobility (Hertz)
Link: https://lnkd.in/e5vtq_xn

𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (Lamb Weston)
Link: https://lnkd.in/e_2J5T6d

𝐀𝐈 𝐃𝐚𝐭𝐚 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 - North Carolina (US) (RWS)
Link: https://lnkd.in/erfYacC2

𝐀𝐯𝐢𝐚𝐭𝐢𝐨𝐧 𝐃𝐚𝐭𝐚 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 (Jeppesen Sanderson Inc)
Link: https://lnkd.in/eWCPkWQN

𝐃𝐚𝐭𝐚 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 (First Mid)
Link: https://lnkd.in/eWRKS_Tk

𝐒𝐞𝐧𝐢𝐨𝐫 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (FP&A) (TD SYNNEX)
Link: https://lnkd.in/eEviUZbP

𝐒𝐫 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭, 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (Transamerica)
Link: https://lnkd.in/eZ2P7hbp

𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐒𝐭𝐮𝐝𝐞𝐧𝐭 - Winter 2026 (JDI IT)
Link: https://lnkd.in/eQy48uwp

𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 (Colstrip Power Plant/Stakeholders)
Link: https://lnkd.in/e4QDZaYX

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

Let's be honest, it's never been harder to land a data job. Scam job postings. High competition. Inflation. AI. Visas. Tariffs. There's a lot of things working against you. You know what makes it easier? 

💻 Structured focus co-working sessions
😊 Friends who cheer you on and lift you up
🤝 An expanding network of data professionals
🎧 An audio course helping you learn on-the-go
👨‍🏫 A mentor who will answer all of your questions
📊 9+ unique, guided data projects w/ real-world data
🗺 An exact path to follow with step-by-step instructions
👔 An interview question database w/ 75+ real questions
💼 A beautiful portfolio that wows hiring managers & recruiters
🤖 An AI assistant to help you write cover letters & cold messages

This is what The Accelerator is all about. 

What's The Accelerator? It's my all-inclusive bootcamp teaching you exactly how to your first data job. We'll teach you everything you need to know. Everything. We'll help you network with recruiters, hiring managers, and other data professionals. And we will help you build very cool projects to put on your portfolio. 

We are starting tomorrow, Monday, October 13th. 

Potentially interested? Do one of these....
💬 Send me a DM (I'll reply)
📞 Come to our kickoff call Monday (free)
👇 Click the link in the comments (learn more)

I'd like to introduce you to a Data Analyst you maybe haven't heard of yet: Christopher Dalla Riva. When it comes to Music Analytics, he's THE guy you should know. 

Here are some of the cool analysis he's done: 

 1. 🎶 The statistical structure of songs
 2. 🐱‍👤 Proving the Billboard Top 100 Fraud
 3.  🎷 The most forgotten song of the 90's
 4. 🎥The crazy evolution of the music video
 5. 🎸 The most well-known rock intro of all time
 6. 🍿 The decline of the pop hit from the movies
 7. 🧮 How to mathematically become a pop star
 8. 👩‍🎤 The transformation of strange pop song titles
 9. 💿 The ACTUAL most streamed album of all time
10. 🎼 Why the key change disappeared from top hits
11. 😡 Just HOW explicit have songs become recently
12. ✍ Is Taylor Swift becoming a WORSE song writer?
13. 💰 How music revenue evolved over the last 50 years

And a bunch, bunch more. This is just a SMALL taste of what data + music can do. 

Want to learn more? 👉 You can catch our full 30-minute interview on Spotify, Apple Podcasts, YouTube, or wherever you catch podcasts.

In this episode, he'll teach you:
🎧 What is music analytics?
📊 Where to find music data?
🚀 How to get started with analyzing music data!

I think y'all are really going to enjoy this one!

Everyone join me in congratulating Andrés Mancilla Galindo on his new job! 🥳

He built an AWESOME portfolio inside The Accelerator program. 

Way to go Andrés!

Data Analyst | SQL & Excel Specialist | Driving Insights through Data Visualization | Supply Chain and Logistics.

View Andrés Mancilla Galindo’s profile

I’m happy to share that I’m starting a new position as Information Analyst at Procesar! 

I'm looking forward to continuing my education and career path as an analyst, and I know this will be a great experience!

If you want to be a data analyst in 2026, I've got the perfect plan for you 👇

Week 1: Planning + update your LinkedIn
Week 2: Excel + networking on LinkedIn
Week 3: Data Viz in Tableau + resume
Week 4: SQL 101 + portfolio
Week 5: Network like a pro
Week 6: Healthcare data in SQL + cold messaging
Week 7: Sports analytics + interview prep
Week 8: Python 101 + 
Week 9: Apply for jobs like crazy
Week 10: Stats in R + Regression
Week 11: ETL + Power BI 
Week 12: Capstone + more job apps

Like this plan? 

Want to follow it step-by-step, with friends and a coach?

Join our October Cohort of The Accelerator. 

We will give you this exact plan, line-by-line. We will answer every question you have. We will give you friends to do it with. Starts tomorrow. 

You in? 

Details: https://lnkd.in/eYZh7_-U

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