Tristan Handy has been curating the Analytics Engineering Roundup newsletter since 2015, pulling together the internet’s best data science & analytics articles. Tristan and co-host Julia Schottenstein now bring the Roundup to real life, hosting biweekly conversations with data practitioners inventing the future of analytics engineering. You can view full episode summaries and read back issues of the Roundup newsletter at https://roundup.getdbt.com. The podcast is sponsored by dbt labs, makers of the data transformation framework dbt. To reach our team, drop a note to email@example.com.
Do you want to know how many people listen to The Analytics Engineering Podcast? Or perhaps how many downloads it gets? Rephonic has scanned the web and collated all the information we found in our podcast database.
Listen to the audio and view podcast download numbers, contact information, listener demographics and more to help you make better decisions about which podcasts to sponsor or be a guest on.
Our search tool lets you find other similar podcasts that cover the same topic and allows you to compare the figures, so you can be informed when reaching out.
Moritz Heimpel from Siemens and Ben Flusberg from Cox Automotive have very similar jobs. They both act as stewards of the data strategies at large, complex companies. more
If Data Vault is a new term for you, it’s a data modeling design pattern. We’re joined by Brandon Taylor, a senior data architect at Guild, and Michael Olschimke, who is the CEO of Scalefree—the consulting firm whose co-founder Dan Lindstedt is credi... more
Jonathan Frankle is the Chief Scientist at MosaicML, which was recently bought by Databricks for $1.3 billion. more
It’s obvious Tristan and Julia put extraordinary effort in covering salient topics and finding guests that are authentic and truly care about being a positive force in this world - the insights they bring to bear are still mind-blowing every. single. time.
I’ve been looking for a great podcast around analytics and data engineering for a while now. This first episode was awesome and I’m excited for the next one!
Rephonic provides a wide range of data for three million podcasts so you can understand how popular each one is. See how many people listen to The Analytics Engineering Podcast and access YouTube viewership numbers, download stats, chart rankings, ratings and more.
Simply upgrade your account and use these figures to decide if the show is worth pitching as a guest or sponsor.
There are two ways to find viewership numbers for podcasts on YouTube. First, you can search for the show on the channel and if it has an account, scroll through the videos to see how many views it gets per episode.
Rephonic also pulls the total number of views for each podcast we find a YouTube account for. You can access these figures by upgrading your account and looking at a show's social media section.
Podcast streaming numbers or 'plays' are notoriously tricky to find. Fortunately, Rephonic provides estimated listener figures for The Analytics Engineering Podcast and three million other podcasts in our database.
To check these stats and get a feel for the show's audience size, you'll need to upgrade your account.
To see how many followers or subscribers The Analytics Engineering Podcast has, simply upgrade your account. You'll find a whole host of extra information to help you decide whether appearing as a sponsor or guest on this podcast is right for you or your business.
If it's not, use the search tool to find other podcasts with subscriber numbers that match what you're looking for.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. You can see some of this data for free. But you will need to upgrade your account to access premium data.
The Analytics Engineering Podcast launched 2 years ago and published 55 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contact information for you.
Our systems scan a variety of public sources including the podcast's official website, RSS feed, and email databases to provide you with a trustworthy source of podcast contact information. We also have our own research team on-hand to manually find email addresses if you can't find exactly what you're looking for.
Rephonic pulls reviews for The Analytics Engineering Podcast from multiple sources, including Apple Podcasts, Castbox, Podcast Addict and more.
View all the reviews in one place instead of visiting each platform individually and use this information to decide whether this podcast is worth pitching as a guest or sponsor.
You can view podcasts similar to The Analytics Engineering Podcast by exploring Rephonic's 3D interactive graph. This tool uses the data displayed on the 'Listeners Also Subscribed To' section of Apple Podcasts to visualise connections between shows.