25 TOP DATA VOICES TO FOLLOW ON LINKEDIN

If you’re LinkedIn feed looks anything like mine, you’ve seen it: everyone suddenly speaks data fluently. Charts. AI takes. Productivity graphs that look like ECG readings. The problem isn’t a lack of content; it’s too much noise and insufficient signal. Everyone’s sharing insights, but only a few or maybe some are worth your scroll. The real gems are those who show their work, explain the why and the how, and make complex ideas more usable. And that’s how this list was developed. This top list of Data Voice isn’t just posting for engagement.

They’re teaching, building, challenging the hype, and sharing what works and what doesn't. These Data voice experts come from every corner of the data world, from engineering, AI, analytics, to leadership. But they all have one thing in common, which is to help you think sharply.

You’ll find people who’ve built billion-dollar data companies and others who share SQL hacks over coffee. Some tell stories that make data emotional; others drop frameworks you’ll use tomorrow. This is your shortcut to the people shaping how we talk about data in 2025.

How We Chose Them

We didn’t look for viral posts or vanity metrics. We looked for people who do what Philip Kotler calls value marketing: giving away real insight before asking for attention.

Here’s what cut:

• Depth over dopamine: They go past headlines and talk systems, trade-offs, and lessons learned.
• Original thought: No copy-paste hot takes. Every post comes from experience.
• Actionable value: Tutorials, templates, or frameworks you can use — not theory.
• Engagement that matters: Their comments spark discussion, not emojis.
• Format fluency: They use carousels, short videos, and long-form posts that actually teach.

If LinkedIn is the classroom, these are the teachers everyone quotes later.

The Top List of Data Voice to Follow on LinkedIn

To help you navigate the changing landscape of data, we’ve put together a list of 25 top data experts to follow on LinkedIn in 2025. These individuals, thinkers, builders, and educators cut through the noise and simplify complexity. They include data engineers, AI scientists, founders, and strategists. These voices don’t just talk about data; they demonstrate what it can achieve.

Data Visionaries and Industry Leaders

These are the people steering the future of analytics and infrastructure who turn buzzwords into billion-dollar strategies.

Barr Moses – CEO and Co-Founder, Monte Carlo
LinkedIn
Barr’s voice defines data reliability. She made “data observability” mainstream and writes with a builder’s honesty about scaling trustworthy pipelines.

Steve McMillan – CEO, Teradata
LinkedIn
Steve talks about data like a craftsman, not a consultant. His posts show what it takes to modernize analytics at a global scale — with governance still intact.

Mike Capone – CEO, Qlik
LinkedIn
Mike blends business intuition with analytics innovation, reminding leaders that data only matters when people can use it.

Ariel Katz – CEO, Sisense
LinkedIn
Ariel champions embedded analytics — insights that appear where work happens. His content feels like a roadmap for modern product teams.

Omri Kohl – CEO and Co-Founder, Pyramid Analytics
LinkedIn
Omri talks “decision intelligence” — how analytics, data science, and human judgment meet. His posts bridge tech and leadership perfectly.

Raj Verma – CEO, SingleStore
LinkedIn
Raj simplifies the future of real-time data. You’ll find no fluff — just what modern architecture needs to perform under pressure.

Osama Elkady – Co-Founder and CEO, Incorta
LinkedIn
Osama writes about removing friction between data and decision. Expect practical lessons on simplicity as a superpower.

Why follow them: They’re the architects of the data age — part visionary, part operator. Follow to see where data strategy is really headed.

Data Infrastructure and Engineering Gurus

Without engineers, “data strategy” is just a slide deck. These are the doers who build the backbone everyone else relies on.

Ben Rogojan – Seattle Data Guy
LinkedIn
Ben turns complex engineering into plain talk. His tutorials on architecture and pipelines are equal parts smart and hilarious.

Chad Sanderson – Data Contracts Advocate
LinkedIn
Chad leads the data-contracts revolution, pushing teams to fix quality at the source instead of patching reports downstream.

Joe Reis – CEO, Ternary Data
LinkedIn
Joe mixes humor with hard truths about the gap between analytics and engineering. His “recovering data scientist” posts are instant classics.

Mehdi Ouazzani – Data Engineer and Content Creator
LinkedIn
Mehdi makes pipelines cool. He explains airflow, orchestration, and ETL like a friend walking you through code over lunch.

Chris Tabb – Co-Founder, LEIT
LinkedIn
Three decades in analytics gives Chris rare perspective. His posts balance deep tech and plain business sense.

Why follow them: They don’t theorize — they build. Their posts teach you the habits behind data systems that work.

Analytics and Visualization Storytellers

Numbers alone don’t change minds; stories do. These creators make analytics feel human — transforming dashboards into decisions.

Benn Stancil – Co-Founder and Chief Analytics Officer, Mode
LinkedIn
Benn’s essays read like philosophy for analysts — reflective, sharp, occasionally funny. He questions how we use (and misuse) metrics.

Bruno Aziza – Head of Data & Analytics, Google Cloud
LinkedIn
Bruno connects the dots between culture and capability. His posts teach leaders how to mature analytics, not just modernize tools.

Cindi Howson – Chief Data Strategy Officer, ThoughtSpot
LinkedIn
Through The Data Chief podcast, Cindi turns abstract BI ideas into everyday leadership lessons.

Dave Langer – Founder, Dave on Data
LinkedIn
Dave demystifies analytics for non-experts. His motto — “teach the 20% that drives 80% of ROI” — says it all.

Eric Kavanagh – CEO, The Bloor Group
LinkedIn
Eric’s blend of journalism and tech gives his posts depth few can match. He’s the conscience of the open-data movement.

Why follow them: They prove storytelling isn’t decoration — it’s delivery. You’ll learn how to make data speak to both logic and emotion.

Data Science and AI Innovators

These voices sit at the edge of what’s next — exploring machine learning, AI ethics, and the messy middle between science and application.

Cassie Kozyrkov – Chief Decision Scientist, Google
LinkedIn
Cassie turns statistics into stories you’ll actually remember. She’s witty, precise, and endlessly quotable.

Daliana Liu – Senior Data Scientist, Predibase
LinkedIn
Host of The Data Scientist Show, Daliana interviews the industry’s best minds with disarming honesty.

Greg Coquillo – AI Leader, Amazon
LinkedIn
Greg’s posts connect AI theory with enterprise practice — a must-follow for anyone shipping machine-learning products.

Jordan Goldmeier – Author & Excel MVP
LinkedIn
Jordan proves spreadsheets are underrated. His frameworks help teams think like analysts, no matter the tool.

Zhamak Dehghani – Founder, Data Mesh
LinkedIn
Zhamak redefined data architecture. Her thoughts on decentralization and governance shaped how every major platform thinks about scale.

Why follow them: They show what’s possible when curiosity meets code. These are the minds expanding what “data science” even means.

Community Builders and Career Mentors

Great data work isn’t solo. It’s community, mentorship, and shared growth — and these voices lead by example.

Megan Lieu – Data Scientist, Narrator
LinkedIn
Megan builds in public. Her posts on tool-choice and learning curves make beginners feel seen and supported.

Sundas Khalid – Analytics Lead, Google
LinkedIn
From self-taught to tech leader, Sundas embodies resilience. She writes about diversity, confidence, and thriving as a data professional.

Mark Freeman – Founder, On The Mark Data
LinkedIn
Mark blends social impact with analytics. His empathy-first content reminds us data can drive real-world good.

Why follow them: Because learning alone is slow. These Data Voices remind you that sharing knowledge multiplies its value.

What Makes a Data Voice Stand Out

Look across these 25 names and a pattern appears:

They don’t chase hype; they create clarity.
They don’t post daily; they post when they have something that matters.
They’re generous with what they know and humble about what they don’t.

Being a true Data Voice isn’t about algorithms or followers. It’s about consistency, curiosity, and conversation. It’s about teaching without preaching and inviting others into the process.

The Takeaway

The data world moves fast; sometimes faster than we can keep up. New tools pop up, roles overlap, and buzzwords change before we’ve even mastered the last one.

That’s why voices like this matter. They slow things down, and they cut through the noise and make things clearer.

Don’t just follow them to collect more content. Follow to sharpen your own thinking. Jump into the comments. Ask questions. Share your perspective. Because the next big shift in data won’t come from a flashy keynote, it’ll start in a LinkedIn thread with people who care enough to share what they’ve learned.

And that’s the real power of a Data Voice: it’s not about being the loudest. It’s about helping others see more clearly.