12 Best Data Analytics Podcasts to Listen to in 2026 

You find a podcast on a “best of” list, subscribe, and then notice the newest episode is two years old. That happens a lot with data analytics podcasts. Shows rarely announce that they’ve stopped, and roundups keep listing them long after the last upload. 

So we checked. For every show here, we opened its own feed and site in October 2026 and recorded the host, how often new episodes come out, how long they run and when the latest one was released. Six shows from the previous version of this list didn’t pass, and they now sit in an archive section at the end. 

The result is 12 podcasts that are still publishing, grouped by who they serve: people starting out, technical practitioners, chart and presentation builders, and data leaders. Start with the table, then read the entries for the two or three that fit you. 

Best Data Analytics Podcasts at a Glance 

Every show below released a new episode in the 30 days before we checked. Lengths are typical for recent episodes, not fixed formats. 

Podcast	Best for	Host(s)	Typical length	New episodes
The Analytics Power Hour	Analysts from first job to senior: the human side of analytics	Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, Julie Hoyer	About 1 hour	Every two weeks
DataFramed	A broad view of data and AI, for any level	Richie Cotton (DataCamp)	40 to 50 minutes	Weekly
Data Career Podcast	Landing a first data analyst job	Avery Smith	15 to 50 minutes	Weekly
Super Data Science	Machine learning and AI trends	Jon Krohn	About 75 minutes (Tuesday), 20 to 30 minutes (Friday)	Twice a week
Data Skeptic	Statistics and ML, questioned	Kyle Polich	About 35 minutes	Every one to three weeks
The Analytics Engineering Podcast	Data transformation and the modern data stack	Tristan Handy (dbt Labs)	About 55 minutes	Every one to two weeks
storytelling with data podcast	Charts, presentations and data stories	Cole Nussbaumer Knaflic, Alli Torban	8 to 30 minutes	Weekly
The PolicyViz Podcast	Data visualization and communication	Jon Schwabish	10 to 50 minutes	Weekly
Hub & Spoken	Data strategy and data culture	Jason Foster (Cynozure)	About 40 minutes	Every two weeks
The Data & AI Chief	Executives running data and AI programs	Cindi Howson (ThoughtSpot)	About 40 minutes	Every two weeks
Catalog & Cocktails	Unfiltered talk about data teams and governance	Juan Sequeda, Tim Gasper	About 50 minutes, plus a 6-minute takeaway	Weekly
Alter Everything	AI and analytics in day-to-day business	Joshua Burkhow (Alteryx)	About 45 minutes	Monthly

New to the field? Start with The Analytics Power Hour and the Data Career Podcast. Already technical? Super Data Science and The Analytics Engineering Podcast will keep you current. Running a team? Try Hub & Spoken and The Data & AI Chief. 

How We Picked These Podcasts 

Podcasts stop quietly. A show can keep its website, its Spotify page and its place in every roundup for years after the last episode. Six of the ten shows on the previous version of this list had stopped publishing by October 2026, so this time we started with activity. 

Here is what each podcast had to pass: 

• Still publishing. A new episode in the 30 days before October 7, 2026, checked on the show’s own feed. 
• Useful to people who work with data. Analytics, data engineering, visualization or data leadership. Pure AI research shows and general tech news didn’t make it. 
• A clear audience. You should be able to tell from the description who it’s for. 
• A mix of formats. Some are quick solo takes, others are long interviews or roundtables, so there’s something for a short commute and something for a long drive. 

Ask most roundups of data science podcasts and you’ll get ML research and Python shows. This one leans toward analytics, so only the data science shows that also serve analysts made it: Super Data Science and Data Skeptic. We left out a few active shows that overlap with picks here, and moved the ended ones to their own section below. 

Podcasts for Analytics Foundations and Careers 

The Analytics Power Hour 

The show began as the kind of talk that happens in the bar after an analytics conference, and it still sounds like it. Picture five co-hosts, the odd guest, and roughly an hour on the clock. Most episodes land on problems you’ll recognize from your own week, like a stakeholder demanding a dashboard instead of an answer or a metric tracking the wrong thing, and more and more often, what AI changes about the job. 

There’s a lot to catch up on, because the feed goes back to January 2015 and holds more than 300 episodes. Junior analysts get a realistic picture of the work; senior ones get arguments worth having. 

Try first: episode 306, “Decision Support Has Been the Point All Along” (September 2026). 

DataFramed 

DataCamp’s weekly podcast covers how data and AI are reshaping business, told by the leaders driving that change. Richie Cotton does most of the interviewing now. According to DataCamp, three kinds of listener should tune in, from beginners weighing a data career and practitioners keeping up with tools to leaders reworking how their company runs. 

Subscribing to just one show? Its range makes it the safe bet. 

For the state of the data stack, start with episode 376, “Rethinking the Data Stack in the age of AI,” with Tristan Handy, now President of Fivetran and dbt Labs. 

Data Career Podcast 

Avery Smith’s show is about one job: breaking into data analytics. You’ll hear about the skills employers screen for, building a portfolio, interviewing and job hunting, and about career changers who pulled it off (recent guests include a recruiter and a music teacher). Episodes drop once a week. 

If you’re studying for your first analyst role, this is the most practical listen on the list. Once you’re hired, you’ll probably move on to other shows. 

A good first episode: episode 226, “10 Things I Wish I Knew When Starting as a Data Analyst.” 

Technical Podcasts for Data Practitioners 

Super Data Science 

Dr. Jon Krohn hosts this machine learning and AI podcast, which publishes twice a week: a long interview on Tuesday and a shorter episode on Friday. It has been running since 2016 and is past episode 1,000. Guests come from both research and industry. Lately it’s been heavy on AI agents, especially their bills and the data they need to work. 

If you’re a data scientist, ML engineer or developer, you’re the core audience. Analysts, on the other hand, can cherry-pick by topic and skip the rest. 

Try episode 1030, “Garbage In, Gospel Out: Why Agents Need Better Data,” with Salesforce’s Gaurav Pathak. 

Data Skeptic 

It’s been Kyle Polich’s show since 2014, and the count is past 600 episodes. The name tells you the angle. Claims from data science, statistics and machine learning get checked against the scientific method, with a healthy dose of doubt. Most episodes take about 35 minutes. 

Topics tend to come in themed series. Since summer 2026 the series has been recommender systems, which suits anyone who builds or tests ranking and personalization models. It’s also the best pick here if you want to learn more statistics. 

Begin with “Recommender Systems Origin Story” (August 2026). 

The Analytics Engineering Podcast 

It comes from dbt Labs, with founder Tristan Handy behind the mic. On the guest list you’ll find data engineers, analytics engineers and technical leads, and they mostly talk transformation, architecture and how AI is changing the way data work gets done. Interviews take turns with Roundup news episodes, and either kind runs close to an hour. 

It’s for you if you write SQL models, look after a warehouse, or just wonder where the modern data stack is heading. And since Fivetran and dbt Labs closed their merger on June 1, 2026, you also get a front-row seat to how the combined company thinks. 

Start with “The scarce resource is consensus,” with Ian Macomber. 

Podcasts for Data Storytelling and Visualization 

storytelling with data podcast 

That lowercase name isn’t a typo. Cole Nussbaumer Knaflic and data storyteller Alli Torban present most recent episodes, and the subject is data storytelling, presentations and chart design. A lot of what they publish is under 15 minutes long, because each of those episodes takes on just one technique, whether that’s a chart type, a transition or winning over a skeptical room. Between those sit longer interviews, and something new lands every week. 

BI developers and analysts who present to people outside the data team will get the most out of it. 

For a first listen, pick Alli’s September 2026 episode “waterfall charts: what they are and how to use them”. Cole also sat in on The Analytics Power Hour in late September (episode 307, “AI Does (and Does Not) Work for Data Storytelling”), and the conversation went out on both feeds. 

The PolicyViz Podcast 

Jon Schwabish has hosted PolicyViz since 2015, with more than 300 episodes on how to communicate data clearly. His guests work in data visualization, data science or presentation design. Season 13 began in September 2026, and since then a new episode has come out every week, including a series of short My Favorite Graphs episodes that each take apart a single published chart. Jon’s first live recording is planned for November 2026 at the IEEE VIS conference in Boston. 

Policymakers, executives, the general public: if that’s who sees your charts, this is your show. With that crowd, clear beats pretty. 

Short on time? The 10-minute “My Favorite Graphs: Stronger Together from The New York Times” is an easy way in. 

Podcasts for Leaders of Data and Analytics Teams 

Hub & Spoken 

Jason Foster, who founded Cynozure and runs it as CEO, sits down with data and business leaders to talk data strategy and what it pays back. Lately the topics have included responsible AI, data culture and building an organization that can keep adapting. Expect a new one every two weeks, usually around 40 minutes long. 

It’s built for CDOs, heads of analytics and the business leaders who fund them. 

Start with “The truth about building a data-driven culture,” a 17-minute episode from July 2026. 

The Data & AI Chief 

Cindi Howson, ThoughtSpot’s Chief Data & AI Strategy Officer, hosts the show, which used to be called The Data Chief. You can expect one every other Wednesday. The format is a case study or a set of lessons from an executive who runs data and AI at a big company, and the summer 2026 guests came from Vanguard, Grant Thornton and Swire Coca-Cola. 

For a leader, hearing how peers actually set up their programs beats any list of the tools they bought. 

Our pick to start: “How Vanguard is Architecting its AI Semantic Layer” (August 2026). 

Catalog & Cocktails 

Published by data.world from ServiceNow, Catalog & Cocktails calls itself “the honest, No-BS, non-sales-y podcast about data and analytics.” Juan Sequeda and Tim Gasper host. Every weekly episode runs about 50 minutes, and there’s a six-minute Takeaway cut for when all you’ve got is a coffee break. 

Conversations drift toward data teams and governance, and toward how much AI hinges on the business decisions behind the data. 

A solid first pick is “Why Data Teams Fail and Succeed,” with Shachar Meir. 

Alter Everything 

Alteryx’s podcast has run since 2018 and now describes itself as a show about AI, analytics and the future of work. Joshua Burkhow is the current host, and his guests have ranged from data literacy advocate Jordan Morrow to Alteryx’s own CEO, Andy MacMillan. In 2026 it went monthly, and an episode usually lasts about 45 minutes. 

Alteryx users will recognize the tools. Anyone working on AI adoption in a business team will find the people side useful. 

Start with episode 204, “The Surprising Connection Between Data Foundations and AI’s Value Ceiling.” 

Ended Data Podcasts Still Worth the Archive 

These six shows were on the previous version of this list. None has released an episode in more than a year, and one host has announced the end of her show. Their back catalogs still hold up, especially the career and interview episodes. 

Podcast	Host	Last episode	What to dig for
Data Stories	Enrico Bertini, Moritz Stefaner	March 2023 (episode 170)	Data visualization interviews; the site has searchable transcripts of all 170 episodes
Ken’s Nearest Neighbors	Ken Jee	October 2024	Career stories from data scientists and analytics creators
The Data Scientist Show	Daliana Liu	August 2025 (end announced April 2025)	Data science career advice from practitioners at big tech companies
Secrets of Data Analytics Leaders	Wayne Eckerson	June 2025	Interviews with heads of data at large enterprises; Eckerson Group is now part of Datalere
Women in Analytics After Hours	Lauren Burke-McCarthy	February 2025	Career paths of women in data and analytics
The Marketing Intelligence Show	Supermetrics	July 2025	Marketing data, ROI and measurement

Picking a show off any list, this one included? Check when its latest episode came out in your podcast app first. Three months or more since the newest one, and you’re looking at an archive. 

Getting More Out of Data Analytics Podcasts 

Pick by the problem in front of you this quarter, not by popularity. Two or three shows you finish beat ten you skim. Short formats (the storytelling with data episodes, Catalog & Cocktails takeaways, Super Data Science Fridays) fit a walk; save the hour-long interviews for a drive. 

Then use one idea. Maybe an episode left you thinking about a metric, a chart or a sanity check. Try it on your own numbers before the week is out. Here’s where people usually get stuck: the data is spread over a CRM, an ad platform and a database, and stitching it into one sheet eats more time than the episode did. 

Skyvia shortens that step. For spreadsheets there’s Skyvia Query, whose Google Sheets add-on and Excel add-in bring in data from cloud apps and databases, with SQL if you like it or a visual builder if you don’t. Want a dashboard instead? The Data Studio connector sends any Skyvia source to Google’s Data Studio (formerly Looker Studio), and Skyvia Connect gives Power BI, Tableau and Excel a live endpoint to read. 

Prefer video, or want to study rather than listen? See our lists of the best YouTube channels for data analytics, free data analytics courses and data analytics blogs. Video now sits beside audio, too: Edison Research’s Infinite Dial 2026 found that 57% of Americans age 12 and older have both listened to and watched a podcast.